loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ahmad Mehrbod 1 ; Aneesh Zutshi 1 and António Grilo 2

Affiliations: 1 FCT/UNL, Portugal ; 2 Universidade Nova De Lisboa, Portugal

Keyword(s): e-Catalogue, Semantic and Syntactic Integration, Vector Space Model.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaboration and e-Services ; e-Business ; Enterprise Information Systems ; Integration/Interoperability ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Semantic Web ; Soft Computing ; Symbolic Systems

Abstract: E-catalogues play a key role in e-procurement. Matching a product request from a buyer with products e-catalogues, helps companies to find business partners in e-marketplaces. Plethora of e-catalogue standards and enterprise specific formats is one of the major challenges in the matching process. In addition to this syntactic heterogeneity, the same product concept can be expressed using different words that causes semantic diversity in e-catalogues. In this paper, we propose a flexible approach to e-catalogue matching using Vector Space Model. Each e-catalogue is interpreted syntactically in its schema and semantically in an ontology that is developed based on its product classification system. Schemas and ontologies are added to the VSM by adding the syntax of the structure and semantic of the ontology to the indexing and searching mechanisms. The matching process uses the syntactic and semantic metadata for interpreting each e-catalogue as much as the information is available for the system, but is not dependent on this information. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.58.90

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Mehrbod, A.; Zutshi, A. and Grilo, A. (2014). Semantic and Syntactic Matching of e-Catalogues - Using Vector Space Model. In Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B; ISBN 978-989-758-043-7, SciTePress, pages 224-229. DOI: 10.5220/0005115302240229

@conference{ice-b14,
author={Ahmad Mehrbod. and Aneesh Zutshi. and António Grilo.},
title={Semantic and Syntactic Matching of e-Catalogues - Using Vector Space Model},
booktitle={Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B},
year={2014},
pages={224-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005115302240229},
isbn={978-989-758-043-7},
}

TY - CONF

JO - Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B
TI - Semantic and Syntactic Matching of e-Catalogues - Using Vector Space Model
SN - 978-989-758-043-7
AU - Mehrbod, A.
AU - Zutshi, A.
AU - Grilo, A.
PY - 2014
SP - 224
EP - 229
DO - 10.5220/0005115302240229
PB - SciTePress