CN103634760A - System and method for personal address book management - Google Patents

Abstract

The present invention provides a system and method for managing a personal address book. The system includes a client and a server, wherein the client includes: a monitoring control module, used to monitor whether there are new received text messages in the text message module; an information filtering module, used to filter the received new text messages to retain only the text messages related to the address book; a first sending module, used to send the text messages related to the address book to the server, and the server includes: a semantic analysis module, used to perform semantic analysis on the text messages related to the address book to extract the name information, number information, number type information and whether to retain the old number information related to the address book update; a second sending module, used to send the name information, number information, number type information and whether to retain the old number information extracted from the text message as the analysis result to the client, wherein the client also includes: an address book update module, used to update the local address book based on the received analysis result.

Description

System and method for personal address book management

technical field

The present invention relates to personal address book management, more specifically, to a personal address book management system and method based on short message semantic analysis.

Background technique

With the rapid development of science and technology, the popularity of handheld devices is at least one. These devices have become an indispensable part of people's lives. stored on these devices. But when people change their contact information, they need to send the updated contact information to the contacts in the address book, and these contacts need to manually update the contact information on their mobile phones, which brings some troubles to users , and is inefficient. In order to bring convenience to the user, the automatic update technology of the device address book also emerges as the times require.

The existing automatic update technology of address book is usually divided into two types. One is to use the network server as an intermediary, which requires the user to register his information on the server and update it in real time. The network server will send the updated information to the user's open The receiver, so as to realize the synchronization function; the other is to inform the update of the contact information through the SMS, but there are certain requirements for the sender, and the update information needs to be filled in according to a fixed format, so that the receiver can parse the SMS to update the information. Extract and update to the local address book.

Therefore, the problem existing in the automatic update technology of the address book is: the first method requires a network platform and a server to provide user registration and user information storage, which brings security problems and waste of network storage resources; the second method There is a restriction on the format of the text message. The text message must be input in a fixed format before it can be parsed. This restriction also brings inconvenience to the user to a certain extent. If there is no format limitation and no registration on the network service platform for an arbitrary text message, then there are certain difficulties in how to extract the update information of the address book and update the local address book.

Contents of the invention

The object of the present invention is to overcome the deficiencies in the above-mentioned prior art, and provide a personal address book management system and method based on short message semantic analysis. Through the personal address book management system and method, it is not necessary for the sending end to Fill in the update information.

In order to achieve the above object, a system for personal address book management is provided, the system includes a client and a server, wherein the client includes: a monitoring control module for monitoring whether there is a new message received in the short message module Short message; Information filtering module, is used for filtering the new short message that receives to keep only the short message relevant with address book; The first sending module, is used for sending the short message relevant with address book to server, and server comprises: Semantic analysis module, It is used to perform semantic analysis on the short messages related to the address book, so as to extract the name information, number information, number type information and whether to keep the old number information related to the update of the address book; the second sending module is used to extract the information in the short message Name information, number information, number type information and whether to keep the old number information are sent to the client as analysis results, wherein the client further includes: an address book updating module, which is used to update the local address book based on the received analysis results.

Preferably, the information filtering module can determine that the sender information of the new text message received is a number, or the sender information of the new text message received is not a number and the sender information is a contact person in the local address book and the If there is a number in the content of the short message, it is determined that the received short message is a short message related to the address book.

Preferably, the information filtering module can also be used to remove harassing short messages.

Preferably, the client can also include: a text generating module, which combines the content of the short message related to the address book retained by the information filtering module into text to be analyzed, and the text to be analyzed includes sender information, short message content information, And an identification number assigned to each short message, wherein the first sending module is used to send the text to be analyzed to the server.

Preferably, the semantic analysis module can extract the sender information, the content information of the short message and the identifier of each short message from the short messages related to the address book to form the text to be analyzed.

Preferably, the address book update module can update the local address book by matching the analysis result with the local address book.

Preferably, the address book updating module can update the address book according to the judgment of the user.

Preferably, the address book update module can match the person's name and number in the analysis result with the contact person and its number in the local address book, if the name does not match, then add the person's name and its number to the address book, if If the person's name matches but the number does not match, it is determined whether to perform a replacement or an addition operation in the address book according to whether the old number retains information.

According to another aspect, a method for personal address book management is provided, the method comprising: the client monitors whether there is a received new note in the short message module; and filters the received new note so as to keep only information related to the address book. The short message related to the address book is sent to the server, and the server performs semantic analysis on the short message related to the address book to extract the name information, number information, number type information and whether to keep the old number information in the short message; The name information, number information, number type information and whether to keep the old number information in the short message are sent to the client as the analysis result, and the client updates the local address book based on the received analysis result.

Preferably, the step of filtering the received new text messages may include: determining whether the sender information of the received new text messages is a number; if it is a number, then determining that the text message is a text message related to the address book; Determine whether the sender information is a contact person in the local address book; if it is determined to be a contact person in the local address book, then further determine whether there is a number in the content of the short message; related text messages.

Preferably, the step of filtering the received new short messages may further include: removing nuisance short messages.

Preferably, the method may further include: the client combines the contents of the retained short messages related to the address book into text to be analyzed, and the text to be analyzed includes sender information, content information of short messages, and An identification number assigned to send the text to be analyzed to the server.

Preferably, the method may further include: the server extracts sender information, content information of the short message and an identifier of each short message from the short message related to the address book, so as to form the text to be analyzed.

Preferably, the local address book can be updated by matching the analysis result with the local address book.

Preferably, the address book can be updated according to the user's judgment.

Preferably, the step of updating the local address book may include: matching the person's name and number in the analysis result with the contact person and its number in the local address book; if the person's name does not match, adding the person's name and its number to the communication in the address book; if the name matches but the number does not match, it is determined whether to perform a replacement or add operation in the address book according to whether the old number retains information.

Description of drawings

Fig. 1 is a block diagram showing a personal address book management system based on short message semantic analysis according to an embodiment of the present invention;

Fig. 2 is a flow chart showing that the information filtering module performs filtering operations;

Fig. 3 is the flow chart that shows the process that semantic analysis module carries out semantic analysis to short message;

Fig. 4 shows Chinese name recognition framework;

Fig. 5 is a flow chart showing the process of acquiring a number category;

Fig. 6 is a flowchart illustrating the process of updating a local address book;

Fig. 7 is a flow chart showing the process of matching the analysis result with the local address book;

Fig. 8 is a flowchart illustrating a method for managing a personal address book according to an embodiment of the present invention.

Detailed ways

Embodiments of the present invention will now be described in detail, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to like parts throughout. The embodiments are described below in order to explain the present invention by referring to the figures.

FIG. 1 shows a block diagram of a personal address book management system based on semantic analysis of short messages according to an embodiment of the present invention.

As shown in FIG. 1 , the personal address book management system according to the embodiment of the present invention includes a client 10 and a server 20 .

The client 10 includes a monitoring control module 11 , an information filtering module 12 , a text generating module 13 , a text sending module 14 , a text receiving module 15 and an address book updating module 16 . The server 20 includes a text receiving module 21 , a semantic analysis module 22 and a text sending module 23 . It should be understood that the modules included in the client 10 and the server 20 shown here are only exemplary, and those skilled in the art may omit some modules or add new modules according to specific situations. The above modules are described in detail below.

The monitoring control module 11 in the client terminal 10 is connected with the short message module (not shown in the figure) on the user terminal, and is used for monitoring whether the short message module has unread new short messages. For different operating systems of devices, the monitoring methods are also different. For the Android operating system, an implementable solution is as follows:

When an unread new short message is detected, the unread new short message is sent to the information filtering module 12 of the client 10 .

When the information filtering module 12 receives an unread new short message sent by the monitoring control module 11, it filters the received new short message, that is, removes information irrelevant to the address book, and only retains information related to the address book. Specifically, the information filtering module 12 can judge the sender information of the received new short message. If the sender information is number information, it is determined that the short message is a short message related to the address book, and the new short message is sent to the text generation module 13 . If the sender information is not number information, but a contact person in the local address book, it is necessary to further determine whether there is information about a suspected number in the content of the short message, and if so, determine that the short message is a short message related to the address book. And send this new note to text generating module 13. Otherwise, filter the new text message. The operation process of the information filtering module 12 will be described in detail below with reference to FIG. 2 .

As shown in FIG. 2 , in step S201 , the information filtering module 12 of the client acquires sender information of the received new short message.

In step S202, it is determined whether the sender information is a string of pure numbers. The determination of pure numeric strings needs to remove the international code at the beginning, such as "+86".

If it is determined in step S202 that the sender information is a pure number string, then in step S203 the information filtering module 12 compares the obtained number string with the special number database to determine whether the number string is a special number. If the number string belongs to a special number library, for example, the number string is "10086", then the pure number string is filtered out.

If the obtained number string does not match the special number database, then the new short message is sent to the text generation module 13 in step S204.

If it is determined in step S202 that the sender information is not a pure number string, then in step S205 it is determined whether the sender information is a name in the address book. That is, match senders that are not pure numeric strings with the local address book. If it is determined in step S205 that the sender information in the received new short message does not exist in the local address book, the non-pure number string is filtered out. For example, the sender information of "WAP information" belongs to sender information that does not exist in the received new short message, so the "WAP information" can be filtered out through step S205. On the contrary, if it is determined in step S205 that the sender information in the received new short message exists in the local address book, then in step S206 it is determined whether the content of the short message contains a number. Wherein, the determining step can be realized according to the number characteristics of different countries, that is, the number in the short message content is extracted according to the number characteristics of different countries, which will be described in detail in the description of the server 20 below.

If it is determined in step S206 that the content of the short message contains a number, then in step S204 the information filtering module 12 sends the newly received short message to the text generation module 13 .

In addition, before the information filtering module 12 removes the information irrelevant to the address book, the nuisance short message can be removed. For example, by counting some common harassing SMS formats (such as "Invoicing, 139********, Wang**"), the content of the received SMS can be compared with the content of these statistics, if If the format of these harassing short messages is satisfied, these short messages are removed.

The text generating module 13 receives the short message sent by the information filtering module 12, and combines the relevant content of the received short message into a text to be analyzed. The text to be analyzed includes sender information, short message content information, and an id (identification) number assigned for each short message. Wherein, different short messages are distinguished by assigning an id number for each short message by the information filtering module 12 . For example, the sender information and short message content information included in the text to be analyzed may be stored in different fields based on the id number.

The text sending module 14 of the client 10 sends the text to be analyzed generated by the text generating module 13 to the server 20 in a wired or wireless manner.

The text receiving module 21 in the server 20 receives the text to be analyzed from the client 10, and parses the text into a format that can be analyzed by the semantic analysis module in a manner negotiated with the client. That is, the text is parsed according to the format of the text to be analyzed generated by the text generation module. For example, the sender information and short message content information can be extracted from the text to be analyzed according to the id number.

The semantic analysis module 22 in the server 20 is used for performing semantic analysis on the text to be analyzed that is sent by the text receiving module 21, and extracts information such as name information, number information, number type information and whether to keep the old number in the short message.

Optionally, the client 10 may not include the text generating module 13, and after the information filtering module 12 obtains the short messages related to the address book, the text sending module 14 may serve as a sending module to directly send the short messages related to the address book to the server 20. In addition, the semantic analysis module 22 in the server 20 can extract relevant information in the sent short message. Specifically, sender information, short message content information, and an id number assigned to each short message can be extracted from the sent short message to form the text to be analyzed. Subsequently, the semantic analysis module 22 continues to perform semantic analysis on the formed text to be analyzed, so as to extract information such as name information, number information, number type information and whether to keep the old number in the short message.

The semantic analysis operation of the semantic analysis module 22 will be described in detail below with reference to FIG. 3 .

In step S301, the semantic analysis module 22 receives the text to be analyzed based on a short message id.

In step S302, the semantic analysis module 22 acquires the number information in the short message content information in the text to be analyzed.

Specifically, the number information in the short message content information can be obtained according to the number characteristics of different countries. For example, as far as China's telephone numbers are concerned, they are usually 11, 12 or 8 digits. Therefore, in step S302, the semantic analysis module 22 obtains the number information by extracting continuous 11 digits, 12 digits or 8 digits .

In step S303, it is determined whether the number information is acquired successfully. That is, whether to find the number information from the content information of the short message.

If the acquisition of the number is unsuccessful in step S303, that is, the number information is not found from the content information of the short message, then in step S305 it is determined whether the sender information is a number. If it is determined in step S305 that the sender is not a number, the operation ends.

If the number information is successfully obtained from the short message content information in step S303, the number information is saved, and the name information in the short message content information is obtained in step S304.

If in step S303, do not obtain number information (that is, there is no number in the content of the message and determine that the sender is a number in step S305) from the message content information in step S303, then save the number information, and obtain the message in the message content information in step S304 Name information.

In step S306, it is determined whether the person name information is acquired successfully. That is, whether to find the name information from the text message content information. The process of acquiring personal name information will be described in detail later with reference to FIG. 4 .

If it is determined in step S306 that acquiring the name information is unsuccessful, then step S308 determines whether the sender information is a name. If it is determined in step S308 that the sender information is not a person's name, the operation ends.

If it is determined in step S306 that the person's name information has been acquired successfully, the person's name information is saved, and then step S307 is executed.

If it is determined in step S306 that acquiring the name information is unsuccessful and in step S308 it is determined that the sender information is a name, then the name information is saved and then step S307 is executed.

In step S307, the semantic analysis module obtains whether to keep the old number information from the short message content information. Specifically, the obtaining step can be realized through a keyword matching method. For example, in Chinese, for old numbers, everyone's common idioms are "original number", "old number" and "original number". After finding these keywords, determine whether there are words such as "continue to use" and "no longer use" in the sentence where they are located. If there are words with meanings such as "continue to use" in the sentence, it is determined to retain the old number, and if there are words with the meaning of "no longer used" in the sentence, then it is determined not to retain the old number. On the other hand, the present invention can also be set by default to no longer retain the old number, that is, step S307 is not executed.

Subsequently, in step S309, the number type information is acquired.

The process of acquiring number category information will be described in detail later with reference to FIG. 5 .

Finally, in step S310, the semantic analysis module 22 transmits the number information extracted according to the short message id, name information, number type, and old number reservation to the text sending module as the analysis result.

In addition, if it is determined in step S305 that the sender is not a number (that is, when the number information cannot be obtained in the content of the short message or in the sender), the result is blanked in step S311 and then the operation ends. If it is determined in step S308 that the sender is not a person's name (that is, when the number information is obtained successfully, but the person's name information cannot be obtained in the content of the short message and the sender), then in step S312 the analysis result is set to be empty.

The process of obtaining name information will be described below with reference to FIG. 4 . The Chinese name recognition framework is shown in Fig. 4 .

After the number information is obtained, in step S304, the name information in the short message content information is obtained. According to Fig. 3, a kind of situation is that the sender is a number (as in step S305), so a kind of scheme of determining the location of the person's name according to the embodiment of the present invention is to extract the first person's name obtained as the person's name corresponding to the number; Another kind of situation is the number information that obtains in the short message content (as obtaining number information success in step S303), carry out name extraction for the sentence that this number is in so, if unsuccessful, then extract forward and backward, until extracting The position of the person's name or after detecting all the sentences is ended.

For different languages, the characteristics of personal names are also different. Especially for Chinese, the biggest problem is that Chinese sentences do not automatically separate words, so there are great difficulties in extracting Chinese names. A feasible solution according to an embodiment of the present invention is to use a statistical method to identify Chinese names.

Presented in Fig. 4 is a framework for Chinese name recognition using statistical semantic units. First introduce a few basic concepts for the framework:

Concept 1-sentence meaning: the semantics of any natural language at the language level is called sentence meaning, denoted as ss;

Concept 2-semantic unit: a unit that expresses a meaning in a sentence is called a semantic unit, denoted as se;

Concept 3-semantic unit representation: the specific description form of a semantic unit in natural language, denoted as ser;

Concept 4-semantic unit graph: a directed acyclic graph composed of semantic unit representations contained in a sentence, covering all possible sequences of language units.

The representation form of the semantic unit in this system is r(se)=(id, se, n, Vp(se), ser, ty, p(se)), where id represents the number of se, and n is the parameter of se The number, Vp(se) is the parameter vector of se, ser is the representation of se in Chinese, ty is the type of se, and p(se) is the probability value of se. Rc={r(se)} is the Chinese semantic unit representation library, which is a collection of all semantic unit representations, corresponding to Rc in Figure 4. Table 1 is a partial example of semantic units related to personal names in Rc:

Table 1 Examples of Semantic Units of Personal Name Components and Their Boundaries

id se n V _p (se) Ser ty p(se) 1 king 0 king N _ss 87.3803% 301 Ouyang 0 Ouyang N _d 100.0000% 309 Wei 0 Wei N _sn 1.2065% 787 dawn 0 dawn _N 2.2018% 1198 magnificent 0 magnificent N _dnt 2.6640%

The following introduces several databases involved in the framework diagram:

Nc and _CpN are the training corpus in this system, Nc is the sample database of personal names, and _CpN is the standard corpus marked by the Linguistic Institute of Peking University. The type library, the name pattern set, and the Rc needed in this system are obtained according to the name knowledge base.

The category information corresponding to each semantic unit is stored in the type library. The category information in this system includes the category information related to the components of the name and the category information of the semantic unit of the boundary of the name. The ty column in Table 1 stores the category information corresponding to each semantic unit. For example, N _ss indicates a single surname, and N _ds indicates a double surname.

The person name pattern centrally stores the collection that conforms to the person name combination pattern and the semantic unit of the person structure. The combination mode of personal names is based on the combination of the above-mentioned category information related to the components of personal names. For example, (N _ss , N _sn ) refers to a single surname and a single name, (N _ss , N _dnh , N _dnt ) a single name with double surnames; the structure of a person The meaning of the semantic unit refers to some appellations added before or after the surname, first name, and name, etc., such as (A _prex , N _ss ) means a descriptive surname prefix plus a single surname, such as "Old Liu".

What V _ser (c) represents is the vector represented by the semantic unit starting with the Chinese character c found from Rc;

V' _ser (c) means that after matching the input sentence, the unmatched items are removed, and only the vector represented by the semantic unit on the match is retained.

The entire process of the framework is described below:

The framework contains three modules, the extraction module is responsible for reading all semantic unit representations starting with the character c from Rc, and forms a semantic unit representation vector, namely V _ser (c); the matching module is responsible for converting V _ser (c) Match each semantic unit in the sentence with the sentence, keep the successfully matched semantic unit, and delete the rest to form a new semantic unit representation vector V' _ser (c); the calculation and recognition module is responsible for calculating the probability of each path in the semantic unit graph, Determine the maximum probability path, and recognize the name of the person on the maximum probability path according to the parameter type of the semantic unit, the name pattern set and various semantic units representing the person. The key in the whole process is to construct the language unit graph of each sentence and calculate the maximum probability path. The construction of the semantic unit graph can be obtained through the cooperation of the extraction module and the matching module, and then the calculation of each path contained in the graph Joint probability, find the path with the highest probability, get the name of the person on this path, and then get the name of the person we are looking for.

It should be understood that the process of obtaining name information in the short message content information described here with reference to FIG. 4 is just an example, and those skilled in the art may also adopt other techniques for obtaining name information.

Now, the process of acquiring number category information will be described in detail with reference to FIG. 5 .

As shown in Figure 5, for the number information, first determine the number of digits of the number, if it is 8 digits, it can be determined as a landline number; if it is 11 digits, it needs to be determined whether it starts with 13, if so, it is determined that the 11 digit number is Mobile phone number; if the number is determined to be 11 digits and the first 3 digits are area codes (refer to the area code library), then it is determined to be a landline number; if the number is 12 digits, it is necessary to continue to determine whether the first 4 digits are area codes, and if so, confirm This number is a landline number.

Now return to FIG. 1 and continue to describe FIG. 1 .

After the semantic analysis module 22 transmits the analysis result to the text sending module 23 of the server 20 , the text sending module 23 of the server 20 sends the analysis result to the client 10 . For example, the text sending module 23 sends the analysis result to the client 10 .

The text receiving module 15 in the client 10 receives the analysis result sent from the server 20 .

The address book updating module 16 in the client 10 updates the local address book based on the received analysis result. For example, the address book update module 16 may update the local address book by matching the analysis results with the local address book. When the user opens the short message, it is further determined by the user whether to update the local address book by the address book update module 16 .

The process of updating the local address book will be described in detail below with reference to FIG. 6 .

As shown in FIG. 6 , in step S601 , the address book update module 16 determines whether the analysis result is empty, and if not, then in step S602 matches the analysis result with the local address book. The matching process of step S602 will be described in detail later with reference to FIG. 7 . If the result of the analysis is empty, the operation ends.

In step S603, it is judged whether the matching result of the analysis result and the local address book is empty. If the matching result is empty, end the operation. If the matching result is not empty, it is determined in step S604 whether the user currently opens the short message. If it is determined in step S604 that the user opens the short message, then in step S605 the matching result is displayed to the user in the form of a prompt box, and then in step S606 the user determines whether the matching result is correct. If in step S606 the user determines that the matching result is correct, then in step S608 the address book updating module 16 updates the address book according to the content of the prompt box. Otherwise, the user can edit the update prompt box (S607) and update the address book (S608) according to the re-edited prompt box (in the case of No 1), in addition, if the user directly closes the prompt box (in the case of No 2 Next), the operation ends, and the address book update module 16 does not perform any processing.

The matching process of step S602 will be described in detail below with reference to FIG. 7 .

As shown in FIG. 7 , for the analysis result, the address book update module 16 matches the name of the person in the analysis result with the contacts in the local address book in step S701 . In step S702, it is determined whether the matching is successful. If it is determined that the matching is unsuccessful, it means that the name in the analysis result is a newly added contact, and in this case, in step S708, the relevant information of the contact is added to the local address book.

If it is determined that the matching is successful, then in step S703, the address book update module 16 matches the number in the analysis result with the phone number corresponding to the matched contact in the address book.

In step S704 it is determined whether the number matching is successful. If it is determined that the number matching is successful, it means that the local address book has updated the phone number, so the returned result in step S706 is empty and the matching operation ends. Step S706 corresponds to Yes in step S603 in FIG. 6 .

If it is determined in step S704 that the number matching is unsuccessful, then in step S705 it is determined whether the old number needs to be retained. For example, the address book update module 16 determines whether to retain the old number according to the old number retention information in the analysis result. If it is determined to keep the old number, then in step S708, a new number is added to the name of the contact. If it is determined not to keep the old number, replace the old number with a new number in step S707.

Subsequently, in step S709, the address book update module 16 generates an update result, which includes number information according to id, name information, number type, old number retention and update method, and the like. This step corresponds to No in step S603 in FIG. 6 , that is, after step S709, continue to execute step S604.

Fig. 8 is a flowchart illustrating a method for managing a personal address book according to an embodiment of the present invention.

In step S801, the monitoring control module 11 in the client 10 monitors whether there is an unread new message in the message module.

If it is determined in step S801 that there is a new short message, then in step S802 the received new short message is filtered to keep only short messages related to the address book.

Subsequently, in step S803, the relevant content of the received short message is combined into a text to be analyzed, and the text to be analyzed includes sender information, content information of the short message, and an id assigned to each short message.

In step S804, the text to be analyzed is sent to the server.

In step S805, the server performs semantic analysis on the text to be analyzed, and extracts information such as name information, number information, number type information and whether to keep the old number in the short message.

In step S806, the server sends the extracted name information, number information, number type information and whether to keep the old number in the short message to the client as an analysis result.

In step S807, the client updates the local address book based on the received analysis result.

By adopting the personal address book management system and method according to the present invention, the efficiency of address book management can be improved, thereby improving user experience.

While the invention has been particularly shown and described with reference to embodiments of the invention, it will be understood by those skilled in the art that changes may be made in form and detail without departing from the spirit and scope of the invention as defined by the claims. various changes.

Claims (17)

1. A system for personal address book management, said system comprising a client and a server, Wherein, the client includes: The monitoring control module is used to monitor whether there is a new short message received in the short message module; The information filtering module is used to filter the received new text messages to only keep the text messages related to the address book; The first sending module is used to send the short message related to the address book to the server, Servers include: The semantic analysis module is used to perform semantic analysis on the short messages related to the address book, so as to extract the name information, number information, number type information and whether to keep the old number information related to the address book update; The second sending module is used to send the name information, number information, number type information and whether to keep the old number information in the short message extracted to the client as an analysis result, Wherein, the client further includes: an address book update module, configured to update the local address book based on the received analysis result. 2. system as claimed in claim 1, wherein, information filtering module is the situation that the sender information of the new note that receives is number or the sender information of the new note that receives is not number and sender information is If there is a contact in the local address book and there is a number in the content of the short message, it is determined that the received short message is a short message related to the address book. 3. The system according to claim 2, wherein the information filtering module is also used for removing nuisance short messages. 4. The system as claimed in claim 1, wherein the client further comprises: a text generation module, which combines the content of the short message related to the address book retained by the information filtering module into text to be analyzed, and the text to be analyzed includes sender information, text message content information, and an identification number assigned to each text message, Wherein, the first sending module is further configured to send the text to be analyzed to the server. 5. The system as claimed in claim 1, wherein the semantic analysis module extracts sender information, short message content information and the identification number of every short message from the short message relevant to the address book, to form the text to be analyzed, thereby according to The text is semantically analyzed to obtain the name information, number information, number type information and whether the old number is reserved for the address book update. Wherein, the second sending module is used to send the analysis result to the client. 6. The system of claim 1, wherein the address book update module updates the local address book by matching the analysis result with the local address book. 7. The system of claim 6, wherein the address book update module updates the address book according to the user's judgment. 8. The system as claimed in claim 6, wherein the address book update module matches the name and number of the person in the analysis result with the contact person and the number thereof in the local address book, if the name of the person does not match, the name and number of the person are matched. Its number is added to the address book. If the name matches but the number does not match, it is determined whether to perform a replacement or add operation in the address book according to whether the old number retains information. 9. A method for personal address book management, said method comprising: The client monitors whether there is a new message received in the SMS module; Filter incoming new text messages to keep only text messages related to the address book, Send the SMS related to the address book to the server, The server performs semantic analysis on the short messages related to the address book to extract the name information, number information, number type information and whether to keep the old number information related to the address book update; Send the name information, number information, number type information and whether to keep the old number information in the extracted short message to the client as the analysis result, The client updates the local address book based on the received analysis result. 10. The method according to claim 9, wherein the step of filtering the received new note comprises: Determine whether the sender information of the received new text message is a number; If it is a number, it is determined that the short message is a short message related to the address book, and if it is not a number, then it is determined whether the sender information is a contact in the local address book; If it is determined as a contact in the local address book, then further determine whether there is a number in the content of the short message; If there is a number, it is determined that the short message is a short message related to the address book. 11. The method according to claim 10, wherein the step of filtering the received new short messages further comprises: removing nuisance short messages. 12. The method of claim 9, further comprising: The client combines the content of the short messages related to the address book into the text to be analyzed, and the text to be analyzed includes sender information, short message content information, and an identification number assigned for each short message, Send the text to be analyzed to the server. 13. The method of claim 9, further comprising: The server extracts the sender information, the content information of the short message and the identifier of each short message from the short message related to the address book to form the text to be analyzed, so as to perform semantic analysis based on the text, and obtain the name information related to the update of the address book, Number information, number type information and whether the old number is reserved. 14. The system according to claim 9, wherein the server sends the name information, number information, number type information and whether the old number is reserved information related to the address book update to the client as the analysis result. 15. The system of claim 9, wherein the local address book is updated by matching the analysis results with the local address book. 16. The system of claim 15, wherein the address book is updated according to a user's judgment. 17. The system of claim 15, wherein the step of updating the local address book comprises: Match the names and numbers in the analysis results with the contacts and their numbers in the local address book; If the person's name does not match, add the person's name and its number to the address book; If the person's name matches but the number does not match, it is determined whether to perform a replacement or an addition operation in the address book according to whether the old number retains information.

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