Files
Abstract
In todays Web, there is an overwhelming amount of information, but it is still very hard for users to locate useful information such as semantic links between different entities. Semantic links are transitive relations between entities and concepts scattered among different knowledge and information sources. In Semanta we provide two kinds of querying capabilities: entity based queries to find semantic links between any two entities, and relation based queries to find entities that are related to a given entity through a specific relationship, which may be userdefined. Resembling human-thinking, Semanta uses background information captured as instance and abstract knowledge (i.e., an ontology) in RDF and RDFS, respectively, to further unearth hidden relationships in dynamic information resources consisting of XML documents. The Semanta API and a prototype, built over it are discussed, along with algorithms for gathering hints in the ontology layers and using them to look for semantic links.