OntoQA: Metric-Based Ontology Quality Analysis
作者： Boanerges Aleman-Meza , I. Budak Arpinar , Samir Tartir , Amit P. Sheth , Michael Moore
DOI:
关键词: RDF Schema 、 Computer science 、 Semantic Web Rule Language 、 Semantic analytics 、 RDF 、 Information retrieval 、 Population 、 Semantic Web 、 OWL-S 、 Ontology (information science)
摘要: As the Semantic Web gains importance for sharing knowledge on Internet this has lead to development and publishing of many ontologies in different domains. When trying reuse existing into their applications, users are faced with problem determining if an ontology is suitable needs. In paper, we introduce OntoQA, approach that analyzes schemas populations (i.e. knowledgebases) describes them through a well defined set metrics. These metrics can highlight key characteristics schema as its population enable make informed decision quickly. We present evaluation several using these demonstrate applicability.
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