Time Series Analysis of R&D Team Using Patent Information
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Cross-Lingual Ontology Mapping --- An Investigation of the Impact of Machine Translation
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
Consumer behavior analysis from buzz marketing sites over time series concept graphs
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Search and analysis of bankruptcy cause by classification network
MEDI'11 Proceedings of the First international conference on Model and data engineering
Detecting unexpected correlation between a current topic and products from buzz marketing sites
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
A configurable translation-based cross-lingual ontology mapping system to adjust mapping outcomes
Web Semantics: Science, Services and Agents on the World Wide Web
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We propose a method that constructs a hierarchy of words from a set of given documents automatically and dynamically. Given a query, the system retrieves the set of documents that satisfy the query, and the related words are extracted automatically, according their document frequencies. Then a hypernym relations of these related words are obtained using co-occurrence frequencies. Empirical evaluation are conducted for the word hierarchy derived from an English-Japanese dictionary, where the descriptions of a word is considered as one documents. It is shown that meaningful structures are obtained. It is also shown that the proposed method generates more fine hierarchy compared to that obtained by Niwa’s and Srinivasan’s method.