2018

chapter in monograph / paper

english

EN 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.

256 - 270

10.1007/978-3-319-99987-6_20

https://link.springer.com/chapter/10.1007/978-3-319-99987-6_20

Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety : 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-20, 2018, Proceedings

14th International Scientific Conference on Beyond Databases, Architectures, and Structures (BDAS) Held at the 24th IFIP World Computer Congress (IFIP WCC), 18-20.09.2018, Poznań, Poland

20

WoS (15)