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2018 | OriginalPaper | Chapter

Tensor-Based Ontology Data Processing for Semantic Service Matchmaking

Authors : Andrzej Szwabe, Paweł Misiorek, Michał Ciesielczyk, Jarosław Bąk

Published in: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety

Publisher: Springer International Publishing

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Abstract

In this paper, we present a new application of multilinear data processing to Semantic Web Service matchmaking that is based on the Covariance-Matrix-based Filtering (CMF) algorithm and ontology data representation. We show advisability of integrated algebraic modeling of lexical data derived from web service descriptions and the corresponding ontology-based semantic data. The experimental evaluation results indicate superiority of the covariance-based tensor filtering method over other state-of-the-art tensor processing methods, as well as the advantages of using the proposed ontology data representation.

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previous chapter An Interactive Knowledge Maintenance Algorithm for Recasting WordNet Synonym-Set Definitions into Lojbanic Primitives, then into Lojbanic English

next chapter Metadata Reconciliation for Improved Data Binding and Integration

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Title: Tensor-Based Ontology Data Processing for Semantic Service Matchmaking
Authors: Andrzej Szwabe
Paweł Misiorek
Michał Ciesielczyk
Jarosław Bąk
Publisher: Springer International Publishing
Book: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety
Print ISBN: 978-3-319-99986-9

Electronic ISBN: 978-3-319-99987-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-99987-6_20

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