CN102054235A - Method and device for building institutional repository based on digital resource service component model - Google Patents

Abstract

The present invention provides a method and device for building an institutional warehouse based on a digital resource service component. By obtaining a digital resource service component model and using cloud services based on the model to support the rapid construction of an institutional warehouse of an enterprise or organization, by using the service The proposed component model of digital resource service can make the application based on this model have the greatest flexibility, so that when building a digital resource management solution, the process of development, composition and deployment will be changed. simplifies and improves application portability, reusability, and scalability when managing digital resources.

Description

Institutional Warehouse Construction Method and Device Based on Digital Resource Service Component Model

technical field

The invention relates to the technical field of digital resource management, in particular to a method and device for building an institutional warehouse based on a digital resource service component model.

Background technique

As the process of digitalization continues to accelerate, enterprises and organizations will generate an increasingly large number of digital resources, which brings great difficulty and complexity to the management of digital resources. Institutional repository is an online system that collects, preserves and disseminates digital resources specifically for institutions, so more and more enterprises and organizations hope to create their own institutional repository to manage digital resources.

In the field of digital libraries, digital objects generally refer to digital content stored in digital libraries. Digital objects encapsulate text, images, videos, electronic journals, datasets, metadata, and other forms of multimedia data and operations on these data through data streams. Fedora is an open source digital resource storage management system based on the Java language. At present, many enterprises will purchase this kind of digital resource management system to complete the management of huge digital resources. In its specific implementation, a digital object model defined by Fedora includes the following basic components:

1. PID: a persistent unique identifier of the object;

2. Object properties (object properties): a set of system-defined descriptive properties that are extremely necessary for managing and tracking objects in the knowledge base;

3. Datastream(s) (data stream): used to represent a content item of MIME type. An object can have one or more data streams. The content of a data stream is data or metadata, which can be stored either in the Fedora repository or remotely (in which case Fedora points to the content with a pointer in the form of a URL). Each object has a default Dublin Core metadata stream;

4. Disseminator(s): Combines objects with external services with the aim of providing an extensible view of the content of an object or an object's data stream. An object can have zero or more communicators.

However, the construction and implementation of existing digital resource management solutions or institutional warehouses often have poor portability and reusability, which brings a lot of extra expenses to enterprises.

Therefore, a technical problem that needs to be solved urgently by those skilled in the art is: how to innovatively propose an effective measure to solve the defects in the existing technology, effectively improve the flexibility of digital resource management, and reduce the expenses of enterprises .

Contents of the invention

The technical problem to be solved by the present invention is to provide a method and device for building an institutional warehouse based on a digital resource service component model, so as to effectively improve the flexibility of digital resource management and reduce enterprise expenses.

In order to solve the above problems, the present invention discloses a method for building an institutional warehouse based on a digital resource service component model. The method includes:

Obtaining a digital resource service component model; the digital resource service component model includes five atomic service components of an identification component, a metadata component, a content component, a log component, and an annotation component;

Acquire digital resources and analyze the attributes and functions of the acquired digital resources;

Divide the attributes and functions of digital resources into five atomic service components of the digital resource service component model;

Obtain the data characteristics of digital resources by invoking five atomic service components in sequence;

Summarize the characteristics of the acquired data and present them.

Preferably, the way to obtain the digital resource service component model is to create or call the data resource service component model.

Preferably, the service component includes three parts: property, service and reference.

Preferably, the attributes of the identification component include the unique identifier of the acquired digital resource, registration information, and pointers to other four atomic service components; the pointer indicates the storage address of other information of the digital resource, and the pointing relationship is 1 :N; and the identification component provides external registration, search and location services.

Preferably, the attributes of the metadata component include metadata information of the acquired digital resource and the relationship between the data resource and other digital resources; and the metadata component provides external data operation and data acquisition services.

Preferably, the content component attributes include multiple versions of the content of the acquired digital resource; the multiple versions include versions corresponding to different creation times, different content formats, and different creators; upload and download services.

Preferably, the attributes of the log component include the operator who performs the operation on the acquired digital resource, the operation type, the operation text, and the result of the operation; and the log component provides log recording and log analysis services to the outside world.

Preferably, the attributes of the labeling component include the scoring, tags, comments and usage status of the acquired digital resources; and the labeling component provides external services for labeling records and obtaining labels.

The present invention also provides a device for constructing institutional storage based on a digital resource service component model, the device comprising:

The first processing module is used to obtain a digital resource service component model; the digital resource service component model includes five atomic service components: identification component, metadata component, content component, log component and annotation component;

The second processing module is used to obtain digital resources, and analyze the attributes and functions of the obtained digital resources;

The third processing module is used to divide the attributes and functions of digital resources into five atomic service components of the digital resource service component model;

The fourth processing module is used to obtain the data characteristics of digital resources by invoking five atomic service components in sequence;

The fifth processing module is used for displaying after summarizing the characteristics of the acquired data.

Preferably, the first processing module acquires the data resource service component model by creating or calling.

Compared with the prior art, the present invention has the following advantages:

The present invention obtains the digital resource service component model, and uses the form of cloud service based on the model to support the rapid construction of the institutional storage of an enterprise or organization, and realizes cloud service by using the service component architecture. The proposed digital resource service component model can use Applications based on this model have the greatest flexibility, which simplifies the process of development, composition and deployment when building a digital resource management solution, and improves the portability of applications when managing digital resources , reusability and scalability.

In addition, by keeping the back-end technology transparent to the institution, it also greatly reduces the development pressure faced by the institution itself.

Description of drawings

Fig. 1 is a flowchart of a method for building an institutional warehouse based on a digital resource service component model according to Embodiment 1 of the present invention;

Fig. 2 is a schematic composition diagram of a service component described in Embodiment 1 of the present invention;

Fig. 3 is a schematic structural diagram of the digital resource service component model described in Embodiment 1 of the present invention;

Fig. 4 is a schematic diagram of the relationship between the five atomic service components described in Embodiment 1 of the present invention;

Fig. 5 is a schematic diagram of various implementations of creating a management system to manage digital resources in different ways according to Embodiment 1 of the present invention;

FIG. 6 is a schematic diagram of the architecture of the system where each component that provides cloud services externally is located according to Embodiment 1 of the present invention;

Fig. 7 is a schematic diagram of the structure of the entire institutional warehouse described in Embodiment 1 of the present invention;

Fig. 8 is a schematic diagram of the process of creating institutional storage according to Embodiment 1 of the present invention;

Fig. 9 is a structural diagram of an institutional warehouse construction device based on a digital resource service component model according to Embodiment 2 of the present invention.

Detailed ways

In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

Embodiment one:

Referring to FIG. 1 , it shows a flow chart of a method for building an institutional warehouse based on a digital resource service component model of the present invention, and the method specifically includes:

Step S101, obtaining a digital resource service component model; the digital resource service component model includes five atomic service components: an identification component, a metadata component, a content component, a log component, and an annotation component;

In the field of software engineering, Service Component Architecture (Service Component Architecture, SCA) is a set of programming models that can be used to build service-oriented application systems. The core concept of SCA is a service and its associated implementation: a service is defined by an interface, and an interface contains a set of operations. Service implementations can reference other services, called references. A service can have one or more properties, which are data that can be configured externally.

In addition, in recent years, the concept of cloud computing has flourished. Cloud Computing is Grid Computing, Distributed Computing, Parallel Computing, Utility Computing, Network Storage, Virtualization, load It is the product of the integration of traditional computer technology and network technology development such as Load Balance. It aims to integrate multiple relatively low-cost computing entities into a perfect system with powerful computing capabilities through the network, and use advanced business models such as SaaS, PaaS, IaaS, and MSP to integrate this powerful computing capability into cloud services. Forms are distributed to end users. One of the core concepts of cloud services is to reduce the processing burden on user terminals by continuously improving the processing capacity of the "cloud", and finally simplify the user terminal into a simple input and output device, and enjoy the powerful computing and processing capabilities of the "cloud" on demand .

The method described in this embodiment is based on the digital object model, and it is extended by using the idea of the service component architecture. By using the service component architecture to realize cloud services, the proposed digital resource service component model can make the application based on this model have the greatest flexibility, which makes the development, composition and deployment of a digital resource management solution easy The process has been simplified; and the portability, reusability and scalability of applications have been improved when managing digital resources; at the same time, by keeping the back-end technology transparent to the organization, the pressure on the organization itself has been greatly reduced. Development pressure.

Preferably, the way of obtaining the digital resource service component model is to create and invoke the data resource service component model.

Preferably, the service component includes three parts: property, service and reference.

In actual applications, digital resource service components are created or invoked according to specific situations. Specifically, the Digital Resource Service Component Model (Digital Resource Service Component Model, DRSC Model) is as follows:

A service component (Service Component) consists of three parts: properties (Properties), services (Services) and references (References), see Figure 2. This component provides services to other components, and it can also use the services provided by other components by reference. The attributes of service components are data that can be configured externally.

The basic unit of the Digital Resource Service Component Model (DRSC Model) is the Digital Resource Service Component Object (DRSC Object), and its structure is shown in Figure 3. A digital resource service component object is composed of five atomic service components, namely: identification component (ID), metadata component (Metadata), content component (Content), log component (Log) and annotation component (Annotation).

Preferably, the attributes of the identification component include the unique identifier of the acquired digital resource, registration information, and pointers to other four atomic service components; the pointer indicates the storage address of other information of the digital resource, and the pointing relationship is 1 :N; and the identification component provides external registration, search and location services.

Preferably, the attributes of the metadata component include metadata information of the acquired digital resource and the relationship between the data resource and other digital resources; and the metadata component provides external data operation and data acquisition services.

Preferably, the content component attributes include multiple versions of the content of the acquired digital resource; the multiple versions include versions corresponding to different creation times, different content formats, and different creators; upload and download services.

Preferably, the attributes of the log component include the operator who performs the operation on the acquired digital resource, the operation type, the operation text, and the result of the operation; and the log component provides log recording and log analysis services to the outside world.

Preferably, the attributes of the labeling component include the scoring, tags, comments and usage status of the acquired digital resources; and the labeling component provides external services for labeling records and obtaining labels.

Specifically, the attributes of an ID Component include globally unique identifiers, registration information, and pointers to other components. The pointers of the identification component pointing to other components indicate the storage address of other information of the same digital resource, and the pointing relationship is 1:N. The identification component provides registration, search and location services; the attributes of the metadata component include not only the metadata information of a digital resource service component object (DRSC Object), but also the relationship between this object and other objects. relation. This relationship is implemented in the form of a two-tuple, for example, the two-tuple (ID2, "father") may indicate that the current object is the father of the object identified by ID2. The metadata component provides data operation and data acquisition services; the attributes of the content component include multiple versions of the content of a digital resource, and the multiple versions specifically include things such as creation time, content format, creator, etc. and other information. The content component provides uploading and downloading services for resource content; the attributes of the log component (LogComponent) include the operator who performs an operation on an object, the operation type, the operation text, and the result of the operation. The log component provides log recording and log analysis services to the outside world; the properties of the annotation component (Annotation Component) include scoring, tags, comments, and usage status. Usually, a six-tuple is used to indicate the labeling of an object, such as <user, resource, score, tags, comments, usage-status> This six-tuple indicates that the user user has marked the resource resource and given the scoring score , tags, comments and usage-status information. The annotation component provides external annotation records and services for obtaining annotations.

More specifically, the relationship between the five atomic service components is shown in Figure 4: the direct reference relationship between the identification component and the other four components is 1:N, that is, for the same digital resource, the identification A component can generate a globally unique identifier to represent this resource, but for the same resource, there may be multiple copies of metadata, multiple different digital content, multiple different log records, and multiple different annotation information . In addition, the reference relationship between the metadata component and the content component is also 1:N, that is, a resource represented by a piece of metadata may correspond to multiple different digital contents (such as different versions of the same resource).

Due to the adoption of the idea of the service component architecture, each component provides its own services relatively independently, and the components can refer to each other, and each component defines the data within its own jurisdiction through attributes. In this way, it is not only conducive to the decoupling of different functions, but also achieves the purpose of reuse. More importantly, the components that provide services may not only exist on one machine, but may also be distributed on the entire Internet, which is more sufficient Make full use of the advantages of "cloud" to achieve better sharing.

In the application, based on the proposed digital resource service component model, a general digital resource institutional warehouse of an enterprise or organization is built.

Step S102, acquiring digital resources, and analyzing the attributes and functions of the acquired digital resources;

Step S103, dividing the attributes and functions of digital resources into five atomic service components of the digital resource service component model;

By obtaining digital resources and analyzing the attributes and functions of the acquired digital resources, the attributes and functions of such resources are divided into five atomic service components.

Step S104, obtaining the data characteristics of digital resources by invoking five atomic service components in sequence;

In step S105, the characteristics of the acquired data are summarized and presented.

After the division work is completed, the data characteristics of digital resources are obtained by invoking the five atomic service components in sequence. After the acquisition work is completed, the data characteristics obtained from the five atomic service components are summarized and displayed.

In practical applications, it can also be understood as: using different methods to create a management system to manage these resources. Specifically, there are many different implementation manners, as shown in FIG. 5 .

The first is to create an independent partial system to manage digital resources. This system must include five atomic service components and a dedicated DRSC management component. Usually, the institutional warehouse built in this way only runs on one machine or multiple machines in the local area network; the second is to only create a dedicated DRSC management component, and the other five atomic service components use components available on the Internet service provided. Institutional warehouses built in this way only need to run an application that provides DRSC management component services, and other data are stored in the "cloud" of the Internet instead of local; the third is more extreme, directly in the "cloud" of the Internet In the "cloud", the DRSC management component is created through a certain interface, and the DRSC management component calls the services provided by the components available on the Internet to complete the management of digital resources. In the institutional warehouse built in this way, all data is stored in the "cloud" of the Internet.

The method described in this embodiment is further combined with the specific implementation and then introduced. The digital resource service component model designed and proposed in the embodiment depends on cloud services on the Internet. The architecture of the system where each component that provides cloud services to the outside world can be represented by Figure 6: the bottom layer is the network infrastructure layer, which provides basic network communication. On top of the network infrastructure layer, there are three different data storage mechanisms: relational databases, XML databases, and file system-based file sets. On top of this is the data access layer, which provides access to data stored using these three different storage mechanisms. On top of that is the logic layer, which implements some business logic that cloud services need to complete by using the data obtained from the data access layer. Further up is the SCA-based ESB (Enterprise Service Bus) layer. By using ESB, external services can be implemented in different ways, and it also supports a variety of different transmission protocols. The above event response layer, after receiving the request from the user interface layer, calls the interface provided by ESB to respond and return the result.

Refer to Figure 7 for the architecture of the entire institutional warehouse: the bottom layer is the network infrastructure layer, which provides basic network communication. Above the network infrastructure layer is the "cloud" service layer, which includes the services provided by the five atomic service components mentioned above, which are: identification component, metadata component, content component, and log component and callout components. Further up is the SCA-based ESB (Enterprise Service Bus) layer. By using ESB, external services can be implemented in different ways, and it also supports a variety of different transmission protocols. The SCA-based ESB layer can provide two different services to the upper layer, one is Web service and the other is mashup service. By using the services provided by the following five atomic components through the ESB layer, the logic layer of the institutional warehouse is used to complete some business logic necessary for managing digital resources, and on top of the logic layer, different applications can also be built and provided to end users use.

Refer to Figure 8 for the process of creating an institutional warehouse: since the management of the same type of digital resources is homogeneous, you only need to use the template file in the template project, the description of the characteristics of this type of digital resource, and the authority management module inside the project to pass The code is automatically generated to generate the core management code of this type of digital resource organization warehouse. The management core code can complete the management of a class of digital resources by invoking the services provided by the five atomic service components (no matter whether these services come from the local or the "cloud" on the Internet). For enterprises or organizations, adopting this model to create an institutional warehouse not only has clear management logic, but also greatly increases the scalability of institutional warehouses and the reusability of independent components due to the adoption of the idea of service component architecture .

Using the method described in this embodiment, by using the service component architecture to realize cloud services, the proposed digital resource service component model can make the application based on this model have the greatest flexibility, so that when building a digital resource management solution simplifies development, composition and deployment, and improves application portability, reusability, and scalability when managing digital resources while maintaining transparency to institutions by maintaining back-end technology , It also greatly reduces the development pressure faced by the organization itself.

Embodiment two:

Referring to FIG. 9 , it shows a structural diagram of an institutional warehouse building device based on a digital resource service component model of the present invention, and the device specifically includes:

The first processing module 901 is used to obtain a digital resource service component model; the digital resource service component model includes five atomic service components: identification component, metadata component, content component, log component and annotation component;

The second processing module 902 is used to acquire digital resources, and analyze the attributes and functions of the acquired digital resources;

The third processing module 903 is used to divide the attributes and functions of digital resources into five atomic service components of the digital resource service component model;

The fourth processing module 904 is used to obtain the data characteristics of digital resources by invoking five atomic service components in sequence;

The fifth processing module 905 is configured to summarize the characteristics of the acquired data and present them.

Preferably, the first processing module 901 completes the acquisition of the data resource service component model by creating or calling.

Each embodiment in this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts of each embodiment can be referred to each other. As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiment.

The method and device for building an institutional warehouse based on the digital resource service component model provided by the present invention have been introduced in detail above. In this paper, specific examples are used to illustrate the principle and implementation of the present invention. The description of the above embodiments is only It is used to help understand the method of the present invention and its core idea; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation and scope of application. In summary, this The content of the description should not be construed as limiting the present invention.

Claims (10)

1. one kind based on the mechanism of digital resource services component model storage building method, it is characterized in that described method comprises:

Obtain digital resource services component model; Described digital resource services component model comprises identification means, metadata member, content component, daily record member and five atomic service members of mark member;

Obtain digital resource, and analyze the attribute and the function of the digital resource that obtains;

In five atomic service members that the attribute and the function of digital resource is divided into digital resource services component model;

By calling the data characteristic that five atomic service members obtain digital resource successively;

Represent after the fetched data characteristic gathered.

2. method according to claim 1 is characterized in that:

The described mode of digital resource services component model of obtaining is for creating or call data resource services component model.

3. method according to claim 1 is characterized in that:

Described services component comprises attribute, serves and quotes three parts.

4. method according to claim 1 is characterized in that:

The attribute of described identification means comprise unique identifier, the log-on message of the digital resource that obtains and the pointer that points to other four atomic service members; Described pointer has been indicated the preservation address of this digital resource out of Memory, and points relationship is 1:N; And identification means externally provides registration, search and positioning service.

5. method according to claim 1 is characterized in that:

The attribute of described metadata member comprises the metadata information of the digital resource that obtains and the relation between this data resource and other digital resource; And the metadata member externally provides data manipulation and data acquisition service.

6. method according to claim 1 is characterized in that:

Described content component attribute comprises the multiple version of the content of the digital resource that obtains; Described multiple version comprises different creation-times, different content form and the pairing version of different founders; And content component externally provides uploading and download service resource content.

7. method according to claim 1 is characterized in that:

The attribute of described daily record member comprises the result to the operator of obtaining digital resource executable operations, action type, operation text and operation; And the daily record member externally provides log record and log analysis service.

8. method according to claim 1 is characterized in that:

The attribute of described mark member comprises marking, label, comment and the user mode of the digital resource that obtains; And the service that the mark member externally provides mark records and obtains mark.

9. device is built in the mechanism's storage based on digital resource services component model, it is characterized in that described device comprises:

First processing module is used to obtain digital resource services component model; Described digital resource services component model comprises identification means, metadata member, content component, daily record member and five atomic service members of mark member;

Second processing module is used to obtain digital resource, and analyzes the attribute and the function of the digital resource that obtains;

The 3rd processing module is used for five atomic service members that attribute and function with digital resource are divided into digital resource services component model;

Manages module everywhere, is used for by calling the data characteristic that five atomic service members obtain digital resource successively;

The 5th processing module represents after being used for the fetched data characteristic gathered.

10. device according to claim 9 is characterized in that:

Described first processing module is finished obtaining of data resource services component model by the mode of creating or call.

Images