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A Benchmark Suite for Evaluating the Performance of the WebODE Ontology Engineering Platform Raúl García-Castro, Asunción Gómez-Pérez Ontology Engineering Group, Laboratorio de Inteligencia Artificial. Facultad de Informática, Universidad Politécnica de Madrid, Spain {rgarcia,asun}@fi.upm.es Abstract. Ontology tools play a key role in the development and maintenance of the Semantic Web. Hence, we need in one hand to objectively evaluate these tools, in order to analyse whether they can deal with actual and future requirements, and in the other hand to develop benchmark suites for performing these evaluations. In this paper, we describe the method we have followed to design and implement a benchmark suite for evaluating the performance of the WebODE ontology engineering workbench, along with the conclusions obtained after using this benchmark suite for evaluating WebODE. 1. Introduction In order for the Semantic Web to consolidate steadily, it needs the support of technology that allows to create and to maintain it. The continuous development of ontology editors and ontology tools for managing ontologies is an indication of this fact. These tools implement different knowledge models with different underlying knowledge representation paradigms, manage large upper level and general ontologies, and range from standalone to web-based applications. To be able to decide what ontology tools are needed for fulfilling actual and future requirements, we need ...
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English