Title :
An architecture to support information sources discovery through semantic search
Author :
Santos, Veronica Dos ; Baião, Fernanda Araujo ; Tanaka, Astério
Abstract :
In most scenarios, different information sources coexist and their content overlap, thus requiring domain knowledge to discover, understand and integrate information. In general, information sources are not designed for integration and their descriptive metadata do not suffice to enable IIS to consistently and unambiguously discover which information sources contain the required data to be integrated. This paper proposes an architecture to discover information sources through the use of semantic search techniques on top of corporative metadata repositories. Our experiments using a prototype of the proposed architecture obtained positive results with regard to precision and recall.
Keywords :
data mining; information resources; information retrieval; information systems; meta data; ontologies (artificial intelligence); software architecture; IIS; content overlap; corporative metadata repositories; descriptive metadata; domain knowledge discovery; domain ontology; information integration system; information source discovery; integrate information discovery; semantic search; Computer architecture; Information systems; Keyword search; Ontologies; Prototypes; Semantics; Vocabulary; Descriptive Metadata; Domain Ontology; Metadata Repository; Semantic Search;
Conference_Titel :
Information Reuse and Integration (IRI), 2011 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0964-7
Electronic_ISBN :
978-1-4577-0965-4
DOI :
10.1109/IRI.2011.6009559