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Authors: Christophe Debruyne 1 ; Davor Meersman 2 ; Mathias Baert 3 and Rami Hansenne 3

Affiliations: 1 Vrije Universiteit Brussel, Belgium ; 2 Curtin University, Australia ; 3 iChoosr BVBA, Belgium

Keyword(s): Product and RFP Ontology, Request for proposals, Semantic matching, Data integration.

Related Ontology Subjects/Areas/Topics: B2B, B2C and C2C ; Biomedical Engineering ; Communication and Software Technologies and Architectures ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Internet Technology ; Knowledge Management ; Metadata and Metamodeling ; Ontologies and the Semantic Web ; Ontology and the Semantic Web ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web Information Systems and Technologies ; Web Interfaces and Applications ; XML and Data Management

Abstract: This paper presents a platform for requests for proposals and describes how ontologies drive the different components: the creation of a proposal, the annotation of vendor data, the transformation of vendor data into other formats and the semantic matching of a proposal against annotated vendor data. The ontology construction started from DOGMA, a methodology with its grounding in the linguistic representation of knowledge that is suitable for community participation in the creation process. The ontologies were created in a modular way, with general product and meta-models that can be extended depending on the domain. In the case of the pilot, the product were holiday packages, more precisely winter sports holiday packages.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Debruyne, C.; Meersman, D.; Baert, M. and Hansenne, R. (2011). COMMUNITY DRIVEN REQUESTS FOR PROPOSALS - Applying Semantics to Match Customer Purchase Intents to Vendor Offers. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 525-530. DOI: 10.5220/0003330905250530

@conference{webist11,
author={Christophe Debruyne. and Davor Meersman. and Mathias Baert. and Rami Hansenne.},
title={COMMUNITY DRIVEN REQUESTS FOR PROPOSALS - Applying Semantics to Match Customer Purchase Intents to Vendor Offers},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={525-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003330905250530},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - COMMUNITY DRIVEN REQUESTS FOR PROPOSALS - Applying Semantics to Match Customer Purchase Intents to Vendor Offers
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Debruyne, C.
AU - Meersman, D.
AU - Baert, M.
AU - Hansenne, R.
PY - 2011
SP - 525
EP - 530
DO - 10.5220/0003330905250530
PB - SciTePress