Motivation
Our motivation is to provide an intelligent retrieval system for metadata discovery in SERVOGrid large scale Grid Project. We utilize Conversational CBR as a technique of AI recommender systems. We represent CBR Cases in RDF in order to increase the reasoning capability as well as descriptive information in cases. We introduce a tool which could be used to retrieve most relevant cases by interacting with the user. Such recommender systems will be very useful for SERVOGrid Environment when the number of cases are in the order of thousands. We introduce our prototype of CCBR system which is based on ontology aided metadata.
Resources
  • SERVO Grid project home page, [html]
  • Case Base Reasoning at Indiana University [html]
  • IUCBR Framework [html]
  • Jena Technology [html]
Progress

Here is the link to the SERVOGrid Ontology.[link]

Here is the link to RDF instances of the SERVOGrid Ontology.[link]

Here is the link to the running project.[.jsp]

Here is the link to a powerpoint presentation explaining the project. [.ppt]

Here is the link to the project code tar ball.[.tar]

Here is the link to how to install txt file. [.txt]

Here is the link to Java Doc. pages explaining the code.[.html]

Here is a draft of document possibly to be submitted to ICTAI 2004 as a conclusion of the work. [.pdf][.doc]

Date: 06/06/04

Contact
Mehmet S. Aktas
Computer Science Department, IU,
Bloomington, Indiana 47405
Email:maktas@cs.indiana.edu

Dr. David Leake
Computer Science Department, IU,
Bloomington, Indiana 47405
Email:leake@cs.indiana.edu