Eckart de Castilho, Richard ; Gurevych, Iryna (2011)
Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity.
Stanford, CA, USA
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this paper, we address the task of semantic service retrieval based on natural language queries. We analyze identifiers of services, operations, and parameters extracted from WSDL service descriptions with respect to their semantic content. In order to measure the semantic similarity between query and service description, we introduce a novel computationally efficient document similarity measure based on information content and fuzzy set theory.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2011 |
| Autor(en): | Eckart de Castilho, Richard ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity |
| Sprache: | Englisch |
| Publikationsjahr: | 2011 |
| Buchtitel: | Proceedings of the 5th IEEE International Conference on Semantic Computing (IEEE-ICSC) |
| Veranstaltungsort: | Stanford, CA, USA |
| URL / URN: | https://ieeexplore.ieee.org/document/6061348 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | In this paper, we address the task of semantic service retrieval based on natural language queries. We analyze identifiers of services, operations, and parameters extracted from WSDL service descriptions with respect to their semantic content. In order to measure the semantic similarity between query and service description, we introduce a novel computationally efficient document similarity measure based on information content and fuzzy set theory. |
| Freie Schlagworte: | UKP_p_THESEUS;UKP_a_SIM |
| ID-Nummer: | TUD-CS-2011-0205 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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| Zugehörige Links: | |
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| Suche nach Titel in: | TUfind oder in Google |
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