Atila Kaya

Learn More
In this paper, we present the ontology evolution methodology developed in the context of the BOEMIE 1 project. Ontology evolution in BOEMIE relies on the results obtained through reasoning for the interpretation of multi-media resources in order to evolve (enhance) the ontology, through population of the ontology with new instances, or through enrichment of(More)
In this work we present an approach to interpret information extracted from multimedia documents through Abox abduction, which we consider as a new type of non-standard retrieval inference service in Description Logics (DLs). We discuss how abduction can be adopted to interpret multimedia content through explanations. In particular, we present a framework(More)
The recent success of distributed and dynamic infrastructures for knowledge sharing has raised the need for semiautomatic/automatic ontology evolution strategies. Ontology evolution is generally defined as the timely adaptation of an ontology to changing requirements and the consistent propagation of changes to dependent artifacts. In this article, we(More)
The amount of Web information is growing rapidly, improving the efficiency and accuracy of Web information retrieval is uphill battle. There are two fundamental issues regarding the effectiveness of Web information gathering: information mismatch and overload. To tackle these difficult issues, an integrated information filtering and sophisticated data(More)
The paper describes how interpretations of multimedia documents can be formally derived using abduction over domain knowledge represented in an ontology. The approach uses an expressive ontology specification language, namely description logics in combination with logic programming rules, and formalizes the multimedia interpretation process using a combined(More)
Text interpretation can be considered as the process of extracting deep-level semantics from unstructured text documents. Deep-level semantics represent abstract index structures that enhance the precision and recall of information retrieval tasks. In this work we discuss the use of ontologies as valuable assets to support the extraction of deep-level(More)
In this work we present an approach to interpret information extracted from multimedia documents through Abox abduction, which we consider as a new type of non-standard retrieval inference service in Description Logics (DLs). We discuss how abduction can be adopted to interpret multimedia content through explanations. In particular, we present a framework(More)