Deborah L. McGuinness
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Publications by Deborah L. McGuinness (bibliography)
» 2009 «
Tao, Jiao, Ding, Li and McGuinness, Deborah L. (2009): Instance Data Evaluation for Semantic Web-Based Knowledge Management Systems. In: HICSS 2009 - 42st Hawaii International International Conference on Systems Science 5-8 January, 2009, Waikoloa, Big Island, HI, USA. pp. 1-10. Available online
» 2008 «
Glass, Alyssa, McGuinness, Deborah L. and Wolverton, Michael (2008): Toward establishing trust in adaptive agents. In: Proceedings of the 2008 International Conference on Intelligent User Interfaces 2008. pp. 227-236. Available online
As adaptive agents become more complex and take increasing autonomy in their user's lives, it becomes more important for users to trust and understand these agents. Little work has been done, however, to study what factors influence the level of trust users are willing to place in these agents. Without trust in the actions and results produced by these agents, their use and adoption as trusted assistants and partners will be severely limited. We present the results of a study among test users of CALO, one such complex adaptive agent system, to investigate themes surrounding trust and understandability. We identify and discuss eight major themes that significantly impact user trust in complex systems. We further provide guidelines for the design of trustable adaptive agents. Based on our analysis of these results, we conclude that the availability of explanation capabilities in these agents can address the majority of trust concerns identified by users.
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Ding, Li, Tao, Jiao and McGuinness, Deborah L. (2008): An initial investigation on evaluating semantic web instance data. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 1179-1180. Available online
Many emerging semantic web applications include ontologies from one set of authors and instance data from another (often much larger) set of authors. Often ontologies are reused and instance data is integrated in manners unanticipated by their authors. Not surprisingly, many instance data rich applications encounter instance data that is not compatible with the expectations of the original ontology author(s). This line of work focuses on issues related to semantic expectation mismatches in instance data. Our initial results include a customizable and extensible service-oriented evaluation architecture, and a domain implementation called PmlValidator, which checks instance data using the corresponding ontologies and additional style requirements.
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» 2007 «
Silva, Mario J., Laender, Alberto H. F., Baeza-Yates, Ricardo A., McGuinness, Deborah L., Olstad, Bjørn, Olsen, Øystein Haug and Falcão, André O. (eds.) Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management - CIKM 2007 November 6-10, 2007, Lisbon, Portugal.
» 1988 «
Brachman, Ronald J. and McGuinness, Deborah L. (1988): Knowledge Representation, Connectionism, and Conceptual Retrieval. In: Proceedings of the Eleventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1988. pp. 161-174.
Knowledge Representation (KR) systems provide support for Artificial Intelligence systems that reason about relationships between objects in their domains of expertise. Because of their support for inference, KR systems appear to have potential to enrich the kind of retrievals that IR systems might make. Ironically, however, the most useful KR systems are limited to reasoning based on a rigid notion of validity, and thus are awkward to use when relevant but inexact retrievals are desired. We have been exploring the potential of a "connectionist model" -- the Boltzmann Machine -- to overcome this limitation. We report on a number of experiments in which we use a connectionist simulator to support similarity-based reasoning in a frame representation. We draw some tentative, mixed conclusions on the potential for a union of KR, IR, and connectionism.
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Mar 16th, 2010
Changes to this page (author)
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