Information Gathering from Heterogeneous Distributed Environments Papers from the 1995 Spring Symposium (Aaai Technical Reports) by Craig Knoblock

Cover of: Information Gathering from Heterogeneous Distributed Environments | Craig Knoblock

Published by AAAI Press .

Written in English

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Subjects:

  • Artificial Intelligence - General,
  • Computer Bks - General Information,
  • Science/Mathematics

Book details

The Physical Object
FormatPaperback
Number of Pages171
ID Numbers
Open LibraryOL11471013M
ISBN 100929280911
ISBN 109780929280912

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Agent mining is an interdisciplinary area that synergizes multiagent systems with data mining and machine learning. [1] [2] The interaction and integration between multiagent systems and data mining have a long history. Information Gathering from Heterogeneous, Distributed Environments, Technical Report SSO8, AAAI Press, Menlo Park, CA, Google Cited by: Abstract.

This paper describes the design of a system, which facilitates Accessing and Interconnecting heterogeneous data sources. Data sources can be static or active: static data sources include structured or semistructured data like databases, XML and HTML documents; active data sources include services which are localised on one or several servers including web by: 3.

Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments Article (PDF Available) in Information Systems Research 11(4). Proceedings of the AAAI Symposium on Information Gathering from Heterogeneous, Distributed Environments, AAAI Spring Symposium, Stanford University, Stanford, CA.

MarchAdditional readings on teamwork: Towards Flexible Teamwork. Tambe, M. Journal of Artificial Intelligence Research (JAIR), Volume 7, pages Request PDF | Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources | With the growing use of distributed information networks, there is an increasing need.

A Distributed Problem Solving Approach to Cooperative Information Gathering. In Proceedings of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments. Oates, Tim; Prasad, M.

Nagendra; and Lesser, Victor R. Networked Information Retrieval as Distributed Problem Solving. The chapters in this book address the emerging issues in information resources economics and its application. Information modeling, information management, governance and valuation, collaborative networks development, ethical issues in distributed information environments are topics relevant to business people and academics.

Suggested Citation:"InfoSleuth: An Emerging Technology for Sharing Distributed Environmental Information."National Academy of Engineering. Information Systems and the gton, DC: The National Academies Press. doi: /.

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