Abstract. In this poster, we propose to recast the idea of knowledge compilation into approximating OWL DL ontologies with DL-Lite ontologies, against which query answering has only polynomial data complexity. We identify a useful category of queries for which our approach also guarantees

are mostly uncurated, suffer from duplication and contain large numbers of ontology versions, variants, and facets, and therefore do not lend themselves to random sampling. In this paper, we describe the creation of a corpus of OWL DL ontologies using strategies such as web crawling, various forms of de

to be defined in a manner that is systematic yet at the same time semantically explicit. We report on the reuse of existing lipid nomenclature, ontology describing chemical structure and the extension of the OWL-DL Lipid Ontology to support the classification of lipid molecules. We applied definitions, DL

To enable interoperability between applications in distributed information systems based on heterogeneous ontologies, it is necessary to formally define the notion of a mapping between ontologies. In this paper, we define a mapping system for OWL-DL ontologies, where mappings are expressed

. Ontologies (and, more specifically, OWL ontologies) are a key component of the semantic Web. This paper proposes an approach to represent multidimensional models as OWL-DL ontologies. To this end, it presents the multidimensional metamodel, the concepts of OWL-DL, and transformation rules for mapping a

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in different OWL DL ontologies. This measure is designed so as to enable extraction of information encoded in OWL entity descriptions and to take into account the underlying meaning of OWL primitives. We propose a variable weighting scheme for combining more efficiently component similarities calculated from

After becoming a W3C Recommendation, OWL is becoming increasingly widely accepted and used. However most people still find it difficult to create and use OWL ontologies. On major difficulty is “debugging ” the ontologies-discovering why a reasoners has inferred that a class is “unsatisfiable

, but they lack the required computerised support. Our proposal facilitates interoperation while providing a rich framework that accommodates copyright law and copes with custom licensing schemes. It is based on the Description Logic variant of the Web Ontology Language (OWL-DL) and constitutes an ontology

Ontology Language- Description Logic) [2] version of STEP (OntoSTEP) that will allow logic reasoning and inference mechanisms and thus enhancing semantic interoperability. The development of OntoSTEP requires the conversion of EXPRESS schema to OWL-DL, and the classification of EXPRESS instances to OWL