Title :
IR and AI: using co-occurrence theory to generate lightweight ontologies
Author :
Ding, Ying ; Engels, Rob
Author_Institution :
Dept. of Math. & Comput. Sci., Vrije Univ., Amsterdam, Netherlands
Abstract :
This paper illustrates the application of cooccurrence theory to generate lightweight ontologies semi-automatically. First, the relationship of Information Retrieval (IR) and Artificial Intelligence (AI) is discussed in a general way. Then two case studies have been conducted to generate lightweight ontologies in specific domains (Information Retrieval domain and European part of CIA FactBook). Further discussion is articulated and future work is proposed, especially the possible future research direction on ontology learning
Keywords :
information retrieval; learning (artificial intelligence); artificial intelligence; cooccurrence theory; information retrieval; lightweight ontologies; ontology learning; Artificial intelligence; Computer science; Databases; Frequency; Indexing; Information retrieval; Mathematics; Natural languages; Ontologies; Thesauri;
Conference_Titel :
Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on
Conference_Location :
Munich
Print_ISBN :
0-7695-1230-5
DOI :
10.1109/DEXA.2001.953179
