OBDI System for Fuzzy Web Data Table Integration Using an Ontological and Terminological Resource

Abstract

When finding new product innovations or filling new patents, inventors have necessary to retrieve all the relevant pre-existing know-how or to exploit and enforce patents in the technological area. Since the OTR is at the important and heart of Semantic Ontology system, this team works on the ontology construction and evolution. Author present system architecture relies on an Ontological and the Terminological Resource (OTR) which is made up of two parts: on the one end, a generic set of concepts dedicated to data integration task, on the other hand, a specific set of concepts and terminology, to a given domain of application. The important objective of the semantic annotation method here is to identify which relations of OTR are represented in data table that simple concepts are called in the given simple target concepts. In order to annotate a column by a simple target concept, a score is computed for each of the simple target concept of the OTR, on a generic OTR expressed in OWL. Here the system allows XML data tables that have been taken from Web documents, to be annotated with fuzzy RDF descriptions and to be flexibly Ontology search engine. Ontology search engine allows for retrieve not only to exact answers compared with selection criteria but also semantically close answers and compare the this selection criteria expressed as fuzzy sets representing preferences with fuzzy annotations of data.
DOI: 10.17762/ijritcc2321-8169.150722