Coupling semantic and statistical techniques for dynamically enriching web ontologies

Enriching Concept Search across Semantic Web Ontologies

Semantic Web ontologies are fast-growing knowledge sources on the Web. Searching relevant concepts from this large repository is a challenging problem. The current Semantic Web search engines provide either (1) coarse-grained search over ontologies or (2) very fine-grained search over individuals. We believe searching and ranking concepts across ontologies provides an ideal granularity for cert...

AHP Techniques for Trust Evaluation in Semantic Web

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

AHP Techniques for Trust Evaluation in Semantic Web

The increasing reliance on information gathered from the web and other internet technologies raise the issue of trust. Through the development of semantic Web, One major difficulty is that, by its very nature, the semantic web is a large, uncensored system to which anyone may contribute. This raises the question of how much credence to give each resource. Each user knows the trustworthiness of ...

Semantic Web & Ontologies

Enriching Ontologies for Improved Access to Web Documents

The complex hierarchies of ontologies make it often difficult for human users to locate classes within them. We present in this paper a method to enrich classes of an existing light-weight ontology with additional keyword attributes that are learned from instances of these classes. Further we show a method to use these attributes for improving the recall of queries and for facilitating access t...