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• Motivation• Fast responding time: • One of the most challenging problems
encountered by human analysts dealing with large amounts of dynamic data is that important information may not be assessed in time to aid the decision making process.
• Common knowledge representation:• Having a common representation in our
framework allows for the processing and displaying of results from diverse search techniques on a unified ranking system.
• Easy to validate:• Having graphical representation of a
document allows users to capture the main concepts of a document and validate the retrieval techniques easily.
Methodology Conclusion and Future WorkCurrent Status: Successfully convert, display contents of documents graphically
on the Web browsers that support Adobe SVG Viewer. Display connected graphs as well as disconnected graphs (forest)
correctly.
Future work: Address the problems of browser and operating system
dependence. Extend graph structure to support diversified topicality graph. Represent such a graph successfully on a Web server. Evaluating the effectiveness of viewing document graphs in
gIGBuilders and I-Matchers.
AcknowledgementThis work made possible by a part of SDMC grant HP1-09-SC-0001 through UTEP
Document representation in a large-scale distributed information retrieval framework
Christopher WittMentor: Dr. Hien Nguyen
Mathematical and Computer SciencesUniversity of Wisconsin - Whitewater
Intelligent Foraging, Gathering &Matching (I-FGM) framework
I-Foragers
Distributed Dynamic Heterogeneous Information Space
Search engines (Google, MSN, Yahoo…)
gIG-Builders
IGSoup
Blackboard
I-Matchers
Text
Text2Dag
Link Parser
Dag2SVG