In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in a...In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way. Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semant^me relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.展开更多
In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,...In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.展开更多
文摘In order to improve the efficiency of ontology construction from heterogeneous knowledge sources, a semantic-based approach is presented. The ontology will be constructed with the application of cluster technique in an incremental way. Firstly, terms will be extracted from knowledge sources and congregate a term set after pretreat-ment. Then the concept set will be built via semantic-based clustering according to semanteme of terms provided by WordNet. Next, a concept tree is constructed in terms of mapping rules between semant^me relationships and concept relationships. The semi-automatic approach can avoid non-consistence due to knowledge engineers having different understanding of the same concept and the obtained ontology is easily to be expanded.
基金the National Natural Science Foundation of China(Grant No.U21B6001,62006040,62376058,U21A20488)the Fundamental Research Funds for the Central Universities,and ZhiShan Young Scholar Program of Southeast University.We thank the Big Data Computing Center of Southeast University for providing the facility support on the numerical calculations in this paper.
文摘In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.
