Semantic matchmaking of assets to missions

Murat Sensoy*, Wamberto Vasconcelos, Geeth De Mel, Timothy J. Norman

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution


Some resources (i.e., assets) can be critical to accomplish missions. Unfortunately, in many settings these resources are limited. Scarcity of the critical assets and importance of the missions create an incentive for the organizations to cooperate by sharing their assets with an expectation of carrying out their missions successfully even if the assets in hand are limited. In this paper, we propose a multiagent framework where mission plans are semantically described so that a hierarchical multiagent system can be used to represent each mission. Using the semantic description of the mission plans, the agents reason about resources required for their missions and cooperatively decide on the assets that should be shared to carry out those missions. This is achieved at different levels of the agent hierarchy where policies and constraints are used during the decision process. Our experiments show that our approach leads to a better utilization of the assets and significantly improves the number of achievable missions when the number of available assets is limited.

Original languageEnglish
Title of host publicationAgent-Based Technologies and Applications for Enterprise Interoperability - International Workshops, ATOP 2010, Revised Selected Papers
PublisherSpringer Verlag
Number of pages20
ISBN (Print)9783642285622
Publication statusPublished - 1 Jan 2012
EventInternational Workshop on Agent-Based Technologies and Applications for Enterprise Interoperability, ATOP 2010 - Toronto, ON, Canada
Duration: 10 May 201010 May 2010

Publication series

NameLecture Notes in Business Information Processing
Volume98 LNBIP
ISSN (Print)1865-1348


ConferenceInternational Workshop on Agent-Based Technologies and Applications for Enterprise Interoperability, ATOP 2010
CityToronto, ON


  • Multiagent Systems
  • Resource Allocation
  • Semantic Web


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