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Ranking semantic web services by matching triples and query based on similarity measure

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Abstract

A Web Service (WS) provides interoperability among platforms. To find out a desired web service that matches the user requirements are difficult, which raises the need for the WS discovery tool. This paper proposes a tool for Semantic Web Service Discovery (SWSD) to calculate Semantic Web Service (SWS) similarity values between the Requested Query (RQ) and Triples (Tr) from OWL-S file. SWSD uses processing components such as Parts of Speech (POS), WordNet Dictionary, and WordNet Sense (WNS) for reducing the errors in the matching. This matching determines the similarity Threshold (T) using Matching Rules (MR), and then calculates the average T values, which are ordered and ranked. This paper also analyses results in two phases such as ranking the services and QRT. When the Tr values increases, the QRT values are also increases. The SWSD results are better than existing framework results based on the above MR, Test Case, and QRT. These will help the user to find out the desired SWS.

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Funding

This research is financially supported by the University Grants Commission (UGC) of Government of India (Grant No. F./2015-17/RGNF-2015-17-TAM-35).

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Authors and Affiliations

  1. Sacred Heart College, Tirupattur, Vellore, India

    M. Santhoshkumar & S. Sagayaraj

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  1. M. Santhoshkumar
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  2. S. Sagayaraj
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Correspondence to M. Santhoshkumar.

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Santhoshkumar, M., Sagayaraj, S. Ranking semantic web services by matching triples and query based on similarity measure. Int. j. inf. tecnol. 12, 1311–1319 (2020). https://doi.org/10.1007/s41870-019-00322-w

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  • DOI: https://doi.org/10.1007/s41870-019-00322-w

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