• 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