SBIR Phase I: Embedding Trend Discovery Within Search Engines

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 0945040
Agency Tracking Number: 0945040
Amount: $144,950.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2010
Solicitation Topic Code: IC
Solicitation Number: NSF 09-541
Small Business Information
Vivisimo, Inc.
1710 Murray Avenue, Third Floor, Third FloorPittsburgh, PA, 15217
DUNS: 050881171
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Raul Valdes-Perez
 (412) 422-2499
Business Contact
 Raul Valdes-Perez
Title: PhD
Phone: (412) 422-2499
Research Institution
This Small Business Innovation Research (SBIR) Phase I research project aims to make trend discovery on text documents a mainstream activity within the familiar workflow of search engine users, by using a linguistic approach that leverages many years of prior commercial research and technology development. The objective of this research is to develop the right representations and algorithms, implement a prototype, experiment with the appropriate user interfaces to support both initial discovery and the end-user's assessment of the discovered trends, and evaluate the system's ability to enable insightful trends that are not available with normal use of search engines. Executives, market analysts, science and technology monitors, and government intelligence analysts all are concerned with finding trends. There are established commercial business-intelligence methods for finding and understanding trends in structured data. However, research accomplishments from trend detection in text data have not entered mainstream use because of complicated user experiences and an inability to discern what are truly emerging topics, rather than merely recurring salient topics or linguistic variations on old topics, e.g., "lawsuit" as an old topic and "litigation" as a new topic. If successfully embedded within the familiar search workflow, it is anticipated that trend discovery will be a boon to many knowledge-work professions, leading to early detection of changes that can impact science, technology, government, healthcare, and business performance.

* information listed above is at the time of submission.

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