Incremental Ontology-Based Extraction and Alignment in Semi-structured Documents

SHIRI1 is an ontology-based system for integration of semi-structured documents related to a, specific domain. The system's purpose is to allow users to access to relevant parts of documents as answers to then, queries. SHIM uses RDF/OWL for representation of resources and SPARQL for their querying. It relies oil all automatic, unsupervised and ontology-driven approach for extraction, alignment and semantic annotation of tagged elements of documents. In this paper, We focus Oil the Extract-Align algorithm which exploits a set. of named entity and term patterns to extract term candidates to be aligned with the Ontology. It proceeds in all incremental manner in order to populate the Ontology with terms describing instances, of the domain and to reduce the access to extern resources such as Web. We experiment it on a, HTML corpus related to call for papers in computer science and die results that we obtain are very promising. These results show how the incremental behaviour algorithm enriches the ontology and the number of terms (Or named entities) aligned directly with the Ontology increases.