Learning ontologies from natural language texts
International Journal of Human-Computer Studies
Improving domain ontologies by mining semantics from text
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
Biological Ontology Enhancement with Fuzzy Relations: A Text-Mining Framework
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Automatic Fuzzy Ontology Generation for Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Web Semantics Ontology
Semantic Web Technologies: Trends and Research in Ontology-based Systems
Semantic Web Technologies: Trends and Research in Ontology-based Systems
Ontology-based automatic query refinement
International Journal of Artificial Intelligence and Soft Computing
Ontology-based information extraction: An introduction and a survey of current approaches
Journal of Information Science
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Ontology-based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. In order to build a better IE system using ontology-based technique, the two challenges should be most taken into account are semantic elements extraction, and ontology enhancement. Focusing on the two key points above, we propose an ontology-based information extraction system and its application information retrieval system in the health care domain. In ontology-based information extraction system, we propose a non part-of-speech based method for the semantic elements extraction and the ontology enhancement to overcome the above challenges. Experiments and Results show that all functions work well in the whole system. Many kinds of semantic elements can be extracted by the proposed extraction functions regardless parts-of-speech of words. High ratio of new semantic elements is detected for the ontology and database enrichment that yield very good results in information retrieval. The system is implemented in Vietnamese.