Performance Evaluation & Comparison of Inference Engines for Different Biomedical Ontologies

Abstract

Semantic web can be defined as expansion of the existing web, which gives an easier
way to search, share, combine and re-use information. Semantic web is intended to form a huge
distributed knowledge based system. Focus of semantic web is to share data instead of
documents. Based on Machine readable information & developed on XML technologies, that is
capable of defining modified tagging schemas and RDF (Resource Description framework)
flexible approach for representing data. For understanding and using the knowledge &data,
which is encoded in semantic web documents, we require an inference engine, also called
reasoners, can be defined as software applications that describe new facts from the existing
information. Here different Bio-Medical ontologies are used to analyze the performance of
various Inference engines. The paper focuses to analyze different parameters for number of
inference engines and generate statistic based on suitability of inference engine with respect to
particular domain.