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Investigating a method for automatic construction and population of ontologies for services: performances and limitations

Louge, Thierry and Karray, Mohamed Hedi and Archimède, Bernard Investigating a method for automatic construction and population of ontologies for services: performances and limitations. (2019) In: 15th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 28 October 2018 - 1 November 2018 (Aqaba, Jordan).

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Official URL: https://doi.org/10.1109/AICCSA.2018.8612844

Abstract

Ontological engineering is a complex process, involving multidisciplinary skills. The Semantic Web, and more specifically Semantic Web Services spreading suffer from the difficulty of producing an ontology sufficiently detailed to be able to correctly describe the data flows exchanged between services. These data are often described using sector-specific vocabulary. Linking these descriptions to external knowledge sources capable of unifying them is often a complex process, requiring adequate sources to be found and properly used. In this paper, we investigate a method combining existing string distance measurement, NLP-analysis and clustering algorithms for automatic construction and population of an ontology. This method takes services capacities descriptions as only input, without external sources of knowledge. It is tested on a set of more than 10,000 services for 106,000 different measures to classify in an ontology, performances and limitations are exposed.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02112030
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Laboratory name:
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Deposited By: Hedi Karray
Deposited On:14 Mar 2019 12:47

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