@inproceedings{ jinxing_ontology-based_2011,
  title = {Ontology-based semantic information retrieval for enterprise management information system},
  volume = {1},
  url = {http://dx.doi.org/10.1109/ITAIC.2011.6030234},
  doi = {10.1109/ITAIC.2011.6030234},
  abstract = {This paper applies a fuzzy ontology framework to information retrieval system for enterprise management information system. The framework includes three parts: concepts, properties of concepts and values of properties, in which property's value can be either standard data type or linguistic values, i. e. fuzzy concepts. The fuzzy semantic query expansion is constructed by order relation, equivalence relation, inclusion relation and complement relation between fuzzy concepts defined in fuzzy linguistic variable ontology. The application to retrieve project information shows that the framework can overcome the localization of other fuzzy ontology's models, and this research facilitates the semantic retrieval of enterprise management information through fuzzy concepts on the Semantic Web.},
  booktitle = {Information Technology and Artificial Intelligence Conference ({ITAIC}), 2011 6th {IEEE} Joint International},
  publisher = {{IEEE}},
  author = {Jinxing, Shen},
  month = {August},
  year = {2011},
  keywords = {information_retrieval, ontologies},
  pages = {409--412}
}

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