異構(gòu)知識倉庫數(shù)據(jù)集成關(guān)鍵技術(shù)的研究與實(shí)現(xiàn)
[Abstract]:Institutional knowledge base is a mainstream application of knowledge warehouse. Since its development, it has played an important role in academic communication, electronic publishing, long-term preservation, knowledge management, promotion of education, evaluation of scientific research, and sharing and utilization. However, the institutional knowledge base is independent of each other, and academic resources can not be shared, which hinders the utilization and dissemination of academic resources. With the increasing demand of the network digital document information resources, the resource isolated islands of the institutional knowledge base of each university can no longer meet the demand. The co-construction and sharing of the resources becomes inevitable, which provides the one-stop service for the users. The purpose of this paper is to realize the interconnection and interworking among the institutional knowledge bases, thus providing users with unified access services for resource integration. A centralized data warehouse is established by data replication, and the data from each institutional knowledge base is harvested to the data integration center. In this paper, OAI-PMH protocol and METS protocol are used to encapsulate object data into METS document and embed it in OAI record to realize the joint harvesting of metadata and object data of academic resources. In order to improve the flexibility of object data harvesting, two metadata types, etd and etds, are provided to define the metadata format used in OAI records. The difference is that etds metadata types only harvest metadata. In the data harvesting system, each organization as the data publisher realizes the release of OAI records by means of OAICat, and the data integration center acts as the harvester to call the OAI interface of the institutional knowledge base to harvest OAI records. The metadata and object data of resource items are parsed and saved to the data warehouse of data integration center. After reaping metadata and object data, the data integration center carries on the semantic analysis to the academic resources classified by a certain discipline in the warehouse, obtains the domain keyword database, and realizes the semantic association between the academic resources on this basis. When users browse academic resources, they can quickly discover the resources by clicking on the related keywords, thus providing users with personalized knowledge services.
【學(xué)位授予單位】:北京郵電大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TP311.13
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