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Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity

Eckart de Castilho, Richard and Gurevych, Iryna (2011):
Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity.
In: Proceedings of the 5th IEEE International Conference on Semantic Computing (IEEE-ICSC), Stanford, CA, USA, [Online-Edition: https://ieeexplore.ieee.org/document/6061348],
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2011
Creators: Eckart de Castilho, Richard and Gurevych, Iryna
Title: Semantic Service Retrieval based on Natural Language Querying and Semantic Similarity
Language: English
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.

Title of Book: Proceedings of the 5th IEEE International Conference on Semantic Computing (IEEE-ICSC)
Uncontrolled Keywords: UKP_p_THESEUS;UKP_a_SIM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Stanford, CA, USA
Date Deposited: 31 Dec 2016 14:29
Official URL: https://ieeexplore.ieee.org/document/6061348
Identification Number: TUD-CS-2011-0205
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