Towards a Semantic Matchmaking Algorithm for Capacity Exchange in Manufacturing Supply Chains

Audun Vennesland; Johannes Cornelis de Man; Peter Halland Haro; Emrah Arica; Manuel Oliveira

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Paper

Towards a Semantic Matchmaking Algorithm for Capacity Exchange in Manufacturing Supply Chains

Topics: Applications and Case-Studies; Domain Ontologies; Ontology Matching and Alignment; Semantic Web

In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 0IC3K, 466-472, 2019 , Vienna, Austria

Authors: Audun Vennesland ; Johannes Cornelis de Man ; Peter Halland Haro ; Emrah Arica and Manuel Oliveira

Affiliation: SINTEF, Trondheim and Norway

Keyword(s): Semantic Matching, Semantic Matchmaking, Manufacturing Supply Chains.

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

Abstract: Within supply chains, companies have difficulties in finding suppliers outside their known supplier pool or geographical areas. The EU project MANUSQUARE aims to deploy a marketplace to match supply and demand of supply chain resources to facilitate accurate and efficient matchmaking. To this end, a semantic matching algorithm has been developed as one of the key enablers of such a marketplace. The algorithm exploits formal descriptions of resources provided by an ontology developed in the project and will later be extended to incorporate additional data from different endpoints. This paper describes the main components of the semantic matching algorithm, which on the basis of the formally described supply chain resources returns a ranked list of relevant suppliers given a customer query. The paper further describes a comparative evaluation of a set of common semantic similarity techniques that was conducted in order to identify the most appropriate technique for our purpose. The res ults from the evaluation show that all four techniques perform pretty well and are able to distinguish relevant suppliers from irrelevant ones. The best performing technique is the edge-based technique Wu-Palmer. (More)

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Paper citation in several formats:

Vennesland, A.; Cornelis de Man, J.; Haro, P.; Arica, E. and Oliveira, M. (2019). Towards a Semantic Matchmaking Algorithm for Capacity Exchange in Manufacturing Supply Chains. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 466-472. DOI: 10.5220/0008364404660472

@conference{keod19,
author={Audun Vennesland. and Johannes {Cornelis de Man}. and Peter Halland Haro. and Emrah Arica. and Manuel Oliveira.},
title={Towards a Semantic Matchmaking Algorithm for Capacity Exchange in Manufacturing Supply Chains},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD},
year={2019},
pages={466-472},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008364404660472},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD
TI - Towards a Semantic Matchmaking Algorithm for Capacity Exchange in Manufacturing Supply Chains
SN - 978-989-758-382-7
IS - 2184-3228
AU - Vennesland, A.
AU - Cornelis de Man, J.
AU - Haro, P.
AU - Arica, E.
AU - Oliveira, M.
PY - 2019
SP - 466
EP - 472
DO - 10.5220/0008364404660472
PB - SciTePress