Emergent semantics from users' browsing paths

Authors:
D. V. Sreenath;W. I. Grosky;F. Fotouhi
Affiliations:
Department of Computer Science, Wayne State University, Detroit, MI;Department of Computer and Information Science, UofM Dearborn, MI;Department of Computer Science, Wayne State University, Detroit, MI
Venue:
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
Year:
2003

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Abstract

The authors of web pages are not aware of the ways theircontent is used. The innocent information published on the web couldbe used for malicious purposes. We argue that authors of web pages cannotcompletely define the page's semantics and that semantics emergethrough use. Our goal is to derive the emergent semantics of the browsingpaths of the users. Our research can be considered as the reciprocalof search engines: the problem is to derive the semantics from the sequenceof web pages traversed by a user. Using an iterative process, wederive the semantic breakpoints of long browsing paths. This identifiesshort sub-paths with coherent uniform semantics. Using a variation ofLatent Semantic Analysis, we attempt to derive high-level semantics ofthe browsing pattern of the user. With additional training data, an applicationof this research leads to terrorist trend detection.