Describing and representing multi-source and heterogeneous knowledge is a popular research topic in recent years. After investigating knowledge forming process based on multi-source heterogeneous information resources, we present a new approach in which different
Keywords: RDF(S), Ontology, knowledge base constructionCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved.
IntroductionWith the ubiquitous utilization of modern network technology and digital technology, knowledge based on data analysis from different resources has become an important factor for economic development. Currently, most Internet service is based on a distributed database integration work, and the rapid development of the Internet results in plenty of information and knowledge available in networks. These information and knowledge are usually incomplete located in separate sources, as well as in complex disorder and they cannot directly represent the new knowledge. Thus it is not easy to be understood by common users. As it is quite common to confront with the emergence of multi-sources, heterogeneous and mass information resources in the current Web services, traditional knowledge basis construction method cannot meet the rapid needs of users, thus it is necessary to develop a new knowledge construction method in order to provide rapid new knowledge services. In this paper, we aim to construct the knowledge basis in a different way based on the study of the unified knowledge representation for multi-source heterogeneous information resources with an aim to provide a new model of knowledge service.The essence of knowledge basis construction is to represent knowledge reasonably and effectively, namely effective knowledge representation [1][2][3][4][5]. There have been plenty of studies on the methods of knowledge representation. Xu and Ye [6] have studied the merits and disadvantages of currently used knowledge representation methods, and claimed that Ontology has great potential in knowledge representation [6]. Fensel, et al.,[7] developed the On-toKnowledge system, a knowledge management system based on Ontology, which aims at solving the limited information sharing problem caused by traditional knowledge basis via using the key-word matching method to search knowledge. In addition, researches on knowledge basis system construction have attracted much attention [8][9][10], among which a representative
