| S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proc. of the International Conference on Cooperative Information Systems (CoopIS 2001. |
.... lines of research are relevant to the work presented here, ranging from peer to peer and agents applications, to agent oriented software engineering in general [15] For instance, two recent works have attempted to blend peer topeer and agents into a single framework: Anthill [1] and InfoQuilt [11]. Both see peer to peer as a paradigm for networks of autonomous systems that may join or leave at any time. Relevant to our work are also studies on peer to peer systems that have been conducted using i [16] the modeling language at the basis of Tropos) devoted to the characterization of the ....
S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proc. of the International Conference on Cooperative Information Systems (CoopIS 2001), Trento, Italy, September 2001. http://lsdis.cs.uga.edu/proj/iq/iq pub.html.
....creation and execution of Iscapes and for monitoring the execution of Iscapes. These components of the InfoQuilt system are most relevant to the knowledge discovery which is the focus of this chapter, the remaining components primarily the distributed agent based run time system is described in [PS01]. 5.1 Knowledge Builder The Knowledge Builder (KB) is the graphical toolkit that helps the user in creating the knowledge base of the system. It allows the user to declaratively specify ontologies, relationships, resources and functions (including simulations) Use of KB provides the following ....
....are the distinguishing features of InfoQuilt. The system can easily adapt to new sources of information and is very scalable. Further, the system has been implemented and it makes use of query planning and optimization with a multi threaded execution to exploit the parallelism in the plans [PS01]. Some of the improvements to the system planned are as follows. The system will be enhanced to allow the use of recursive query plans, which would further expand its query capability. It needs to make use of inductive learning to infer rules and use them appropriately, which can speed up query ....
S. Patel and A. Sheth. Planning And Optimizing Semantic Information Requests On Heterogeneous Information Sources Using Semantically Modeled Domain And Resource Characteristics, 2001. LSDIS Technical Report, University of Georgia, March 2001
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S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proc. of the International Conference on Cooperative Information Systems (CoopIS 2001.
No context found.
S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proc. of the International Conference on Cooperative Information Systems (CoopIS 2001.
No context found.
S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proc. of the International Conference on Cooperative Information Systems (CoopIS 2001.
No context found.
S. Patel and A. Sheth. Planning and optimizing semantic information requests using domain modeling and resource characteristics. In Proceedings of the International Conference on Cooperative Information Systems (CoopIS 2001.
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