By Tutton A.E.H.
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These tools combine machine learning, information extraction and linguistic techniques. Main tasks are: • Extraction of relevant concepts. • Building is-a hierarchies. • Extracting relationships between concepts. A state of the art on ontology learning was presented at an ECAI workshop in Berlin during August 20007. Example systems are: • Asium is an acronym for "Acquisition of SemantIc knowledge Using Machine learning method". The main aim of Asium is to help the expert in the acquisition of semantic knowledge from texts and to generalize the knowledge of the corpus.
OntoEdit is a tool which enables inspecting, browsing, codifying and modifying ontologies and supports in this way the ontology development and maintenance task. Currently OntoEdit supports the following representation languages: F(rame)-Logic + inference engine, OIL, RDF(S), and OXML. It is commercialized by Ontoprise3. de/ontoedit/ 58 4 Tools • WebOnto4 is a Java applet coupled with a customized web server which allows users to browse and edit ontologies over the web. The resulting Planet-Onto architecture provides an integrated set of tools to support news publishing, ontology-driven document formalization, story identification and personalized news feeds and alerts.
2000(b)]) unifies three important aspects provided by different communities (see Figure 14): Formal semantics and efficient reasoning support as provided by Description Logics, epistemologically rich modeling primitives as provided by the Frame community, and a standard proposal for syntactical exchange notations as provided by the Web community. Description Logics (DL). DLs describe knowledge in terms of concepts and role restrictions that are used to automatically derive classification taxonomies.