Abstract
This paper presents a novel approach for Web Service Retrieval that utilizes Latent Semantic Indexing method to index both SOAP and RESTful Web Services. Presented approach uses modified term-document matrix that allows to store scores for different service components separately. Service data is collected and extracted using web crawlers. To determine similarities between user query and services the cosine measure is used. Presented research results are compared to standard Latent Semantic Indexing method. We also introduce our Web Service test collection that can be used for many benchmarks and make research results comparable.
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Czyszczoń, A., Zgrzywa, A. (2014). Latent Semantic Indexing for Web Service Retrieval. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_70
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DOI: https://doi.org/10.1007/978-3-319-11289-3_70
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
Online ISBN: 978-3-319-11289-3
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