DocumentCode :
3126760
Title :
OntOAIr: A Method to Construct Lightweight Ontologies from Document Collections
Author :
Medina, Ma Auxilio ; Sanchez, J.A.
Author_Institution :
Univ. Politec. de Puebla, Puebla
fYear :
2008
fDate :
6-10 Oct. 2008
Firstpage :
115
Lastpage :
125
Abstract :
Ontologies are key components in the development of the semantic Web, as they provide a shared understanding of a domain. However, acquiring the knowledge to construct ontologies is a costly task that requires much time and many resources. This work describes OntOAIr, a semi-automatic construction method of lightweight ontologies from document collections. The OntOAIr method uses simplified representations of documents, an adaptation of the frequent item set-based hierarchical clustering algorithm (FIHC), and ontological engineering techniques. We present experimental result sand we describe applications that use the constructed ontologies.
Keywords :
ontologies (artificial intelligence); semantic Web; OntOAIr method; frequent item set; hierarchical clustering algorithm; lightweight ontology; semantic Web; Access protocols; Clustering algorithms; Computer science; Information retrieval; Learning systems; Machine learning; Ontologies; Prototypes; Semantic Web; Software libraries; applications; digital libraries; ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science, 2008. ENC '08. Mexican International Conference on
Conference_Location :
Baja California
ISSN :
1550-4069
Print_ISBN :
978-0-7695-3439-8
Type :
conf
DOI :
10.1109/ENC.2008.35
Filename :
4653246
Link To Document :
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