By Matthias Klusch, Sonia Bergamaschi, Pete Edwards, Paolo Petta
This booklet provides 10 chapters on a number of facets of clever details brokers contributed by way of contributors of the respective AgentLink specific curiosity group.
The papers are equipped in 3 components on agent-based details structures, adaptive details brokers, and coordination of data brokers. additionally incorporated are a complete creation and surveys for every of the 3 elements.
Read Online or Download Intelligent Information Agents: The AgentLink Perspective PDF
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Extra info for Intelligent Information Agents: The AgentLink Perspective
Flexible and Scalable cost-based query planning in mediators: A transformational approach. Artiﬁcial Intelligence, 118(1-2)m 115– 161, 2000. 56. A. Gupta , J. Widom. Local veriﬁcation of global integrity constraints in distributed databases. In proceedings pf of ACM SIGMOD, 49–58, 1993. 57. S. Chawathe , H. Garcia-Molina. Hammer, K. Irel, , Y. Papakostantinou , J. Ullman , J. Widom The TSIMMIS project: Integration of heterogeneous information sources. IPSJ Conference Tokyo Japan, 1994. 58. M. J.
2 D. Beneventano et al. The Integration Process The overall information integration process we have assumed for our purposes is articulated in the following phases: 1. Generation of a Common Thesaurus. The Common Thesaurus is a set of terminological intensional and extensional relationships, describing intra and inter-schema knowledge about classes and attributes of sources schemas. In the Common Thesaurus, we express interschema knowledge in form of terminological and extensional relationships (synonymy, hypernymy and relationship) between classes and/or attribute names; 2.
The SA and more in general the agents, have been built using the JADE environment , a FIPA-compliant development tool . The middle and right-side column show the agents and tools required for the integration process. Agents are grouped along three layers. Rising up from the bottom of the middle column, in the Data Source layer we ﬁnd the Translator Agents (TAs). A TA acts during the phase in which the source is recognised and its content has to be expressed using the ODL3I language. The TAs have the following functionalities inside the MIKS system: 1.