Evaluating and optimizing autonomous text classification systems
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Ontology Learning and Its Application to Automated Terminology Translation
IEEE Intelligent Systems
Web Intelligence in Information Retrieval
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
A Semantic Web Primer
Ontology-based personalized search and browsing
Web Intelligence and Agent Systems
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
Semantic integration: a survey of ontology-based approaches
ACM SIGMOD Record
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Automatically Acquiring Training Sets for Web Information Gathering
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Mining world knowledge for analysis of search engine content
Web Intelligence and Agent Systems
Handbook on Ontologies
A knowledge retrieval model using ontology mining and user profiling
Integrated Computer-Aided Engineering
Hi-index | 0.00 |
Ontology is an important technique for semantic interpretation. However, the most existing ontologies are simple computational models based on only "super-" and "sub-class" relationships. In this paper, a computational model is presented for ontology mining, which analyzes the semantic relations of "part-of", "kind-of" and "related-to", and interprets the semantics of individual information need. The model is evaluated by comparing the knowledge mined by it, against the knowledge generated manually by linguists. The proposed model enhancesWeb information gathering from keyword-based to subject(concept)-based. It is a new contribution to knowledge engineering and management.