Rich Ontology Extraction and Wikipedia Expansion Using Language Resources
Existing social collaboration projects contain a host of con ceptual knowledge, but are often only sparsely structured and hardly machine-accessible. Using the well known Wikipedia as a showcase, we propose new and improved techniques for extracting ontology data from the wiki category structure. Applications like information extraction, data classification, or consistency checking require ontologies of very high quality and with a high number of relationships. We improve upon ex isting approaches by finding a host of additional relevant relationships between ontology classes, leveraging multi-lingual relations between cat egories and semantic relations between terms.
Ontology extraction Semantic web Web ontology
Christian Sch(o)nberg Helmuth Pree Burkhard Freitag
University of Passau, Department of Informatics and Mathematics 94030 Passau, Germany
国际会议
11th International Conference,WAIM 2010(第十一届网络时代管理国际会议)
九寨沟
英文
151-156
2010-07-14(万方平台首次上网日期,不代表论文的发表时间)