| Minghua Pei|
(Alternative names for this author)
|Co-authors||Kotaro Nakayama, Maike Erdmann, Masahiro Ito, Masumi Shirakawa, Shojiro Nishio, Sojiro Nishio, Takahiro Hara|
|Authorship||Publications (3), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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Minghua Pei is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Constructing a Global Ontology by Concept Mapping using Wikipedia Thesaurus||Data mining
|International Symposium on Mining And Web (IEEE MAW) conjunction with IEEE AINA||2008||0||0|
|Constructing a global ontology by concept mapping using Wikipedia thesaurus||Proceedings - International Conference on Advanced Information Networking and Applications, AINA||English||2008||Recently, the importance of semantics on the WWW is widely recognized and a lot of semantic information (RDF, OWL etc.) is being built/published on the WWW. However, the lack of ontology mappings becomes a serious problem for the Semantic Web since it needs well defined relations to retrieve information correctly by inferring the meaning of information. One to one mapping is not an efficient method due to the nature of distributed environment. Therefore, it would be a considerable method to map the concepts by using a large-scale intermediate ontology. On the other hand, Wikipedia is a large-scale of concept network covering almost all concepts in the real world. In this paper, we propose an intermediate ontology construction method using Wikipedia Thesaurus, an association thesaurus extracted from Wikipedia. Since Wikipedia Thesaurus provides associated concepts without explicit relation type, we propose an approach of concept mapping using two sub methods; "name mapping" and "logic-based mapping".||0||0|
|Wikipedia Mining: Wikipedia as a Corpus por Knowledge Extraction||Wikimania||English||2008||Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers a huge number of concepts of various fields such as Arts, Geography, History, Science, Sports and Games. As a corpus for knowledge extraction, Wikipedia's impressive characteristics are not limited to the scale, but also include the dense link structure, word sense disambiguation based on URL and brief anchor texts. Because of these characteristics, Wikipedia has become a promising corpus and a big frontier for researchers. A considerable number of researches on Wikipedia Mining such as semantic relatedness measurement, bilingual dictionary construction, and ontology construction have been conducted. In this paper, we take a comprehensive, panoramic view of Wikipedia as a Web corpus since almost all previous researches are just exploiting parts of the Wikipedia characteristics. The contribution of this paper is triple-sum. First, we unveil the characteristics of Wikipedia as a corpus for knowledge extraction in detail. In particular, we describe the importance of anchor texts with special emphasis since it is helpful information for both disambiguation and synonym extraction. Second, we introduce some of our Wikipedia mining researches as well as researches conducted by other researches in order to prove the worth of Wikipedia. Finally, we discuss possible directions of Wikipedia research.||0||0|