KR20080093605A - Intelligent ecm system based on the ontology - Google Patents

Abstract

An ontology based intelligent ECM(Enterprise Content Management) system is provided to display results searched according to semantics based on ontology a semantic web on as a single image such that a user easily makes reference to the results. An ontology based intelligent ECM system includes a repository layer. The repository layer includes a semantic extracting module(131), a semantic generating module(133) and a semantic relation table. The semantic extracting module aligns inputted digital contents based on words and frequency, gives identifiers to the respective digital contents and extracts words representing the digital contents. The semantic generating module performs semantic inference based on the words extracted by the semantic extracting module, generates semantic classification information based on the semantic inference result and creates semantic document headers including at least one of the semantic classification information. The repository layer includes a semantic relation table(134) which analyzes similarity between the document headers to define and generate a semantic relation table.

Description

Intelligent ECM system based on the ontology}

1 is a view schematically showing the configuration of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

2 is a diagram schematically illustrating the configuration of an application layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

3 is a diagram schematically showing the configuration of a system layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

4 is a diagram schematically illustrating a configuration of a storage layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

The present invention relates to an ontology-based intelligent ECM system.

The enterprise content management (ECM) system, which is an enterprise-wide content management system, refers to a system that integrates and manages unstructured content such as general documents and various multimedia materials, as well as contents of a web site. In recent years, ECM has attracted attention because the amount and type of content inside a company is rapidly increasing, and the systematic management of it greatly contributes to strengthening corporate competitiveness and improving productivity. In addition, due to the ever-increasing legal compliance surrounding companies, the need for content management is gradually increasing, thereby increasing interest in ECM. As information technology advances across industries, companies are concerned about the efficient management of their digital content, including file systems, DM / XML, documents, media, and enterprise resource planning (ERP). In particular, in the new business model environment created by the introduction of e-business, the management of effective content becomes an important criterion for determining the success or failure of the business, and the members can easily share the information they own through efficient content management. As the need for content management systems increases in the direction that management decisions can be properly utilized, the importance of ECM is even more important.

In the past, corporate management activities were ultimately the management and process of data. In the past, formal data management such as ERP, Supply Chain Management (SCM), Customer Relationship Management (CRM), and Data Warehouse (DW) was the focus. In recent years, integrated management of unstructured data, including documents and multimedia data, in which the company's individual know-how is recorded is important. Moreover, as the business accelerates, the amount of content to manage rapidly increases, and it is increasingly difficult to manage it with existing IT systems, which requires more systematic management of unstructured data through ECM.

As a result, WCM (Web Content Management) for the management of web contents such as Engineering Data Management (EDM), HTML / SGML / WML / XML / Web forms, etc. for the management of various forms such as general documents, spreadsheets, contracts, and drawings. Enterprise-wide content including Digital Asset Management (DAM) for managing multimedia content such as images, video, audio, and presentations, ERM for managing unstructured content, and Category Consumer Management (CCM) for managing collaborative content. There is an increasing tendency to adopt ECM systems, which are management systems.

The main demand for ECM systems is the need for large-capacity content management, centered on public institutions and large enterprises with overall integration and execution capabilities. However, as it is difficult to be competitive without introducing an ECM system, the demand for ECM systems by mid-sized companies is gradually increasing.

However, since the conventional ECM system has been developed with a focus on the generation, registration, and management of content, there is a problem in that a function for searching and inquiring about content is poor. That is, the user can only search and search for contents on a bulletin board through the conventional ECM system. In addition, even if the conventional ECM system provides a search and inquiry function for the content on the bulletin board, it provides only a word-centered search function, so that an incorrect search is inevitable as the amount of data increases.

The present invention has been made to overcome the problems of the prior art, an ontology-based intelligent ECM system that infers the meaning of digital content based on the ontology of semantic web (Ontology), and performs a search according to semantics The purpose is to provide.

Another object of the present invention is to provide an ontology-based intelligent ECM system that can be easily searched by a user by outputting a searched result according to semantics according to the semantic web ontology technique.

It is still another object of the present invention to provide an ontology-based intelligent ECM system that minimizes load generation when searching by storing document headers in semantic units using the semantic web ontology technique and referring only to the corresponding document headers when searching. .

Another object of the present invention is to use the semantic web ontology technique to store the document header in the semantic unit, thereby solving the problem of multiplicity of the document, defining the semantic relation between the document, It is to provide an ontology-based intelligent ECM system that uses the Semantic Repository to increase efficiency.

According to an aspect of the present invention in order to achieve the above objects, semantic extraction for sorting the input digital content based on the word and frequency, assigning an identifier to each digital content, and extracting a word representing the digital content Module, the semantic extracting module deduces meaning based on the word, generates semantic classification information based on the deduced meaning, and includes a document header of a semantic unit including at least one of the semantic and semantic classification information. Provides an ontology-based intelligent ECM system including a storage layer including a semantic relation table that defines and generates a semantic relation table by analyzing similarities between a generated semantic generation module and a plurality of document headers generated by the semantic generation module can do.

In a preferred embodiment, the storage layer further includes a semantic integration module that integrates and manages documents of similar meanings based on a plurality of semantic relationship tables generated in the semantic relationship table. The storage module may further include an I / O module for receiving the digital content from the outside. The storage module may further include storage for storing at least one of the extracted word, the document header, and the semantic relation table. The semantic generation module may generate the document header using a resource description framework (RDF). The semantic extraction module may extract the word by removing stopwords and noises from a taxonomy corresponding to the digital content. The semantic relation table may define and generate the semantic relation table by analyzing similarities between document headers generated by the semantic generation module using a vector space model. In addition, the ontology-based intelligent ECM system further includes an application layer that is a system layer and a user interface part that is an ECM engine part. In addition, the system layer includes import / export management module, document management module, protocol management module, document control module, encryption management module, user management module, access control list (ACL) management module, version management module, compression management module, storage At least one of a management module, an environment management module, a security management module, a folder management module, and a record management module. The application layer also includes at least one of a web publisher module, an import manager module, a scan station module, an integrated viewer module, a folder management module, and a document management module. The integrated viewer module may output a search result extracted from the storage layer based on at least one of the document header and the semantic relation table in a single screen in response to a user's search request.

Hereinafter, with reference to the accompanying drawings, the configuration and operation of the embodiment of the present invention will be described in detail. The drawings and the description of the drawings are examples of the present invention, which does not limit the scope of the present invention.

1 is a view schematically showing the configuration of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

Referring to FIG. 1, an ontology-based intelligent ECM system according to the present invention includes an application layer (100), a system layer (110), a repository layer (130), a J2EE platform ( Java 2 Enterprise Edition Platform (140) and Operating System / Virtual Machine (OS / VM) 150. The application layer 100, which is a part of the user interface, refers to FIG. 2, and the system layer 110, which is an engine part of the ontology-based intelligent ECM according to the present invention, refers to the storage layer, which is a semantic repository. 130 will be described in detail with reference to FIG. 4.

The J2EE platform 140 is a platform that enables the ontology-based intelligent ECM system to be run in a Java environment. The J2EE platform 140 according to the present invention supports Java Server Pages (JSP) and Servlets, XML, Web Service Protocol, Simple Object Access Protocol (SOAP), and J2EE API. The OS / VM 150 adopts Unix, Linux, and / or Windows as an operating system of the ontology-based intelligent ECM system according to the present invention, and operates the VM to operate by differently configuring the divided use or operating system. Adopt.

2 is a diagram schematically showing the configuration of an application layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

Referring to FIG. 2, the application layer of the ontology-based intelligent ECM system of the present invention includes a web publisher module (Web Publisher) 101, an import manager module (102), a scan station module (Scan Station) 103, and an integration layer. Viewer module 104, folder management module 105, and document management module 106.

The web publisher module 101 provides a browser-based interface that can be easily used by a user who has no specialized knowledge about HTML or XML through a defined template. Specifically, the web publisher module 101 provides the user with a browser-based familiar editing tool, and separates content and layout using XML.

The import manager module 102 imports documents in the form of all electronic files, such as multimedia files such as office documents, audio files, and video files, and manages meta information. In detail, the import manager module 102 is configured to allow a user to easily import a document using a drag / drop function, and combines a plurality of documents in a single file (One File Multi). -Document).

The scan station module 103 controls a device such as a scanner or a fax for digitizing a paper document, thereby providing a function of correcting and storing the scanned image. In detail, the scan station module 103 supports a function of collectively registering a scan document, a standard driver such as TWIN and ISIS, and a remote scan function.

The integrated viewer module 104 provides a function of integrally outputting various image files such as AUTOCAD, JPEG, GIF, TIF, document files such as MS-WORD, PDF, etc. in the enterprise. In addition, the integrated viewer module 104 provides a function of outputting the searched result on a single screen according to the application of the ontology technique of the semantic web in response to a user's search request. The user can search all the digital content in a single screen provided by the integrated viewer module 104.

The folder management module 105 and the document management module 106 provide a folder management function and a document management function that a user is familiar with.

3 is a diagram schematically showing the configuration of a system layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention.

Referring to FIG. 3, the system layer of the ontology-based intelligent ECM system of the present invention includes an import / export management module (Check In / Out Management) 111, a document management module 112, and a protocol management module (Protocol). Management; 113), Document Control Module 114, Encryption Management Module 115, User Management Module 116, ACL Management Module, Access Control List (ACL) Management; ), Version management module (Version Management) 118, compression management module (Compress Management; 119), repository management module (Repository Management; 120), environment management module (Environment Management; 121), security management module (Security Management) 122 ), A folder management module 123 and a record management module 124.

The import / export management module 111 is responsible for the import and export of documents. Specifically, the import / export management module 111 may generate a new version when the document is imported, a lock function on the exported document, a function of checking a user of the exported document, and a copy of the exported document. Provides the ability to read and display status on import / export.

The document management module 112 is responsible for registering, modifying, and deleting documents. In detail, the document management module 112 may input a document registration information (attribute), a document registration function according to a hierarchical structure, a batch registration function of multiple documents, a modification function of a registration document, a temporary storage function of a deleted document, and a deletion Provides disposal and recovery of documents, document list and original print settings.

The protocol management module 113 is responsible for managing a protocol, which is a transmission method of content including a document, and transmitting it accordingly. Specifically, the protocol management module 113 may include a Remote Method Invocation (RMI) client function, a socket function, an XML parser function, a digital right management (DRM) interface function, a SOAP function, and a web service function. to provide.

The document control management module 114 manages a corresponding viewing method for a specific digital content format. Specifically, the document control management module 114 may include a built-in function, a plug-in function, an object linking and embedding (OLE) function, an API hooking function, and a file filter ( File Filter) function.

The encryption management module 115 is responsible for encrypting important information. In detail, the encryption management module 115 provides an encryption function for folder names, metadata, documents, and the like.

The user management module 116 is responsible for registering, modifying, and deleting user accounts. In more detail, the user management module 116 provides a setting function such as a login name / password setting function, a setting function of a belonging group, and a rating / permission / security.

The ACL management module 117 is responsible for creating / modifying / deleting / searching / authorizing a document for each user / group, a mailbox, and another user / group. Specifically, the ACL management module 117 provides a security level support function according to a profile level, a document type level, a business level, a basic security type setting function for a box and a document, and a security type setting function for a user and a group. to provide.

The version control module 118 is responsible for managing the history of all life cycles, such as creation / disposal / restoration / migration of the document. In detail, the version management module 118 automatically creates a new version when importing a document, a function of checking a log inquiry function of an authorized user, a creator, a registrant, a person who modified, an action time, a description, etc. as a version history, and a document. Provides the ability to

The compression management module 119 is responsible for the stable management of large amounts of information such as image files. Specifically, the compression management module 119 first compresses Tiff Group4, then second compresses with Jbig, first compresses with Jpeg, and then second compresses with J2k.

The storage management module 120 is responsible for managing a repository for storing / storing / managing content. Specifically, the storage management module 120 is a function of transferring and archiving documents through volume management, managing age of retention and discarding old documents, incremental backup (Incremental Backup) and daily volume management for period-by-date backup, and commercial software. Provides interface functionality.

The environment management module 121 is responsible for setting and utilizing various conditions in a parameter manner when a system administrator or a user uses the system according to a document management policy of an enterprise. Specifically, the environment management module 121 may include a setting function related to a folder / document / user and the like, a setting function related to document search / save retention, a setting function related to attachment management and file transfer, a list of documents displayed on a user screen, It provides related setting function and setting function related to usage restriction by user, department and function.

The security management module 122 is responsible for the security management function for the document. In more detail, the security management module 122 has a function of setting authority per user / group for a document, authorization function per document type, and organization and individual through ACL in registration / modification / view of a document. Provides security type management capabilities.

The folder management module 123 is responsible for managing all the functions to manage the document storage system in a hierarchical structure called a folder. In detail, the folder management module 123 provides a function of setting a folder name, folder type, upper folder, registration date, classification scheme, retention period, and folder permission information.

The record management module 124 provides a function of managing a storage cycle and the like according to a life cycle when content is required to be stored as a record. Specifically, the record management module 124 provides a production / transfer / evaluation / list / media / shelf / check / classification / statistics for the content.

4 is a diagram schematically illustrating a configuration of a storage layer of an ontology-based intelligent ECM system according to a preferred embodiment of the present invention. The repository layer corresponds to the Semantic Repository.

Referring to FIG. 4, the storage layer of the ontology-based intelligent ECM system of the present invention may include a semantic extract module 131, a semantic classification module 132, and a semantic generation module 133. ) And a Semantic Relation Table (134).

When the semantic extraction module 131 receives all digital contents (referred to as documents for convenience) from the document database 135 through the I / O module 136, the semantic extraction module 131 sorts them around words and frequencies. After assigning a unique identifier to the digital content, by removing stopwords and noises from the taxonomy corresponding to the digital content, a word representing the digital content is extracted and connected to the identifier. Store in the storage 137.

The semantic generation module 133 infers and extracts meanings based on the words stored in the storage 137 by the semantic extraction module 131, generates semantic classification information from the extracted meanings, and generates RDF ( Resource Description Framework) to generate a document header of a semantic unit including at least one of the meaning and the semantic classification information. Thereafter, the semantic generation module 133 may store the document header in connection with the identifier in the storage 137 and transmit the document header to the semantic relation table 134.

The semantic relationship table 134 analyzes the similarity between document headers using a generalized vector space model to define and generate a semantic relationship table, and stores the generated semantic relationship table in the storage 137.

The semantic integration module 132 integrates and manages documents of similar meanings based on a plurality of semantic relation tables stored in the storage 137.

When a user requests a search using an ontology-based intelligent ECM system according to the present invention, the ECM system extracts a search result by referring to at least one of the document header and semantic relation table stored in the semantic storage layer. The extracted search results are output on a single screen through the integrated viewer described above. By only referring to the document header of the semantic unit in the search, the load caused by the index generation that occurs in the actual search can be reduced, and the meaning of the digital format, that is, the document, can be solved by assigning different types of meaning. In addition, by performing a search using a semantic relation table in which semantic relation is defined, the efficiency of document retrieval can be improved.

The present invention is not limited to the above embodiments, and many variations are possible by those skilled in the art within the spirit of the present invention.

According to the present invention, it is possible to provide an ontology-based intelligent ECM system that infers the meaning of digital content based on the ontology of the Semantic Web and performs a search according to semantics.

In addition, according to the present invention, an ontology-based intelligent ECM system that can be easily inquired by a user by outputting a search result according to semantics according to the semantic web ontology technique can be provided.

In addition, the present invention can provide an ontology-based intelligent ECM system that minimizes load generation by searching by storing document headers in a semantic unit by using the ontology technique of the semantic web and referring only to the corresponding document headers when searching. .

In addition, according to the present invention, by using the semantic web ontology technique, by storing the document header in the semantic unit, solve the multiplicity problem of the document, define the semantic relation between the document, the efficiency of the search It is possible to provide an ontology-based intelligent ECM system that uses a Semantic Repository to increase.

Claims (11)

A semantic extraction module that sorts the input digital content based on words and frequencies, assigns an identifier to each digital content, and extracts a word representing the digital content; Inferring meaning based on the words extracted by the semantic extraction module, generating meaning classification information based on the inferred meaning, and generating a document header of a meaning unit including at least one of the meaning and the meaning classification information. Semantic generation module; And An ontology-based intelligent ECM system including a storage layer including a semantic relationship table for defining and generating a semantic relationship table by analyzing similarities between a plurality of document headers generated by the semantic generation module. The method of claim 1, The storage layer is An ontology-based intelligent ECM system further comprising a semantic integration module that integrates and manages documents of similar meanings based on a plurality of semantic relationship tables generated in the semantic relationship table. The method of claim 1, The storage module Ontology-based intelligent ECM system further comprises an I / O module for receiving the digital content from the outside. The method of claim 1, The storage module Ontology-based intelligent ECM system further comprises a storage for storing at least one of the extracted word, the document header and the semantic relationship table. The method of claim 1, The semantic generation module is an ontology-based intelligent ECM system, characterized in that for generating the document header using the RDF (Resource Description Framework). The method of claim 1, The semantic extraction module extracts the word by removing stopwords and noises from taxonomy corresponding to the digital content, ontology-based intelligent ECM system. The method of claim 1, The semantic relation table is an ontology-based intelligent ECM system, characterized in that for defining and generating the semantic relation table by analyzing the similarity between each document header generated by the semantic generation module using a vector space model. The method of claim 1, A system layer that is part of an ECM engine; And An ontology-based intelligent ECM system further comprising an application layer that is a user interface part. The method of claim 8, The system layer is Import / Export Management Module, Document Management Module, Protocol Management Module, Document Control Module, Encryption Management Module, User Management Module, Access Control List (ACL) Management Module, Version Management Module, Compression Management Module, Storage Management Module, Environment Management Module An ontology-based intelligent ECM system comprising at least one of a security management module, a folder management module, and a record management module. The method of claim 8, The application layer is An ontology-based intelligent ECM system comprising at least one of a web publisher module, an import manager module, a scan station module, an integrated viewer module, a folder management module, and a document management module. The method of claim 10, The integrated viewer module Ontology-based intelligent ECM system, characterized in that to output a search result extracted from the storage layer based on at least one of the document header and the semantic relation table in a single screen in response to a user's search request.

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