Inducing Ontologies from Folksonomies using Natural Language Understanding

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0386
Agency Tracking Number: 08SB2-0615
Amount: $98,995.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: SB082-032
Solicitation Number: 2008.2
Small Business Information
1701 N. Collins Blvd., Suite 3000, Richardson, TX, 75080
DUNS: 876919353
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Munirathnam Srikanth
 R&D Manager
 (972) 680-0800
Business Contact
 Dan Moldovan
Title: CEO
Phone: (972) 680-0800
Research Institution
Social bookmarking systems enable users to tag and organize documents according to their own subjective preferences. The collection of tags or folksonomy describes common resources of interest to the user community. The implicit meaning associated with the terms in a tag enables the discovery of other relevant documents and users with shared interests. Folksonomy lacks the hierarchy structure of taxonomy that facilitates better information access or the semantics of an ontology that yields to machine reasoning. The project proposes to make explicit the latent information structure in folksonomies by using natural language processing and automatic ontology generation from text. Phase I effort focuses on (1) the linguistic tools required to capture tag semantics from the tag text, social annotation and the textual content of tagged documents, (2) knowledge classification tools to organize the extracted semantics in an ontology, and (2) the candidate applications that can demonstrate the use of tag semantics. Different information access and discovery applications can use the underlying ontology structure to enable users browse the tag space, and mine new information and associations in social bookmarked data.

* Information listed above is at the time of submission. *

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