eprintid: 8133 rev_number: 21 eprint_status: archive userid: 1903 dir: disk0/00/00/81/33 datestamp: 2011-07-07 07:38:49 lastmod: 2023-04-01 09:54:16 status_changed: 2023-04-01 09:54:16 type: conference_item metadata_visibility: show item_issues_count: 0 creators_name: Duran Martin, Jose Javier creators_name: Iglesias Fernández, Carlos Ángel creators_orcid: 0000-0002-1755-2712 title: An Ontology for Formalising Agreement Patterns in Auction Markets ispublished: pub subjects: telecomunicaciones abstract: Knowledge and best practices on auction systems are cur- rently disseminated across the research literature, which limits its access, reuse, evaluation and feedback by practitioners. This article presents a systematic approach to collect this knowledge as design patterns, in order to provide assistance to software developers. An ontology has been de- _ned for formalising design patterns in auction systems, with the aim of improving its searchability by software developers. Finally, a case study illustrates how the proposed pattern ontology provides assistance in the development of a dynamic pricing model for an e-commerce service date: 2010 date_type: published publisher: Springer Verlag full_text_status: public pres_type: paper place_of_pub: Berlin, Alemania event_title: III Workshop on Agreement Technologies, WAT 2010, at IBERAMIA 2010 event_location: Bahía Blanca, Argentina event_dates: 01/11/2010 - 05/11/2010 event_type: conference institution: Telecomunicacion department: Ingenieria_Sistemas refereed: TRUE isbn: 9783642169519 book_title: Proceedings of Advances in Artificial Intelligence - IBERAMIA 2010 rights: by-nc-nd citation: Duran Martin, Jose Javier and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712 (2010). An Ontology for Formalising Agreement Patterns in Auction Markets. In: "III Workshop on Agreement Technologies, WAT 2010, at IBERAMIA 2010", 01/11/2010 - 05/11/2010, Bahía Blanca, Argentina. ISBN 9783642169519. document_url: https://oa.upm.es/8133/1/INVE_MEM_2010_81176.pdf