Process Mining for Entity Association Disambiguation (PMEAD)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-10-M-0438
Agency Tracking Number: N102-176-1296
Amount: $69,986.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: N102-176
Solicitation Number: 2010.2
Small Business Information
1408 University Drive East, College Station, TX, -
DUNS: 555403328
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Timothy Darr
 Research Scientist II
 (979) 260-5274
Business Contact
 Donielle Mayer
Title: Business Operations Manag
Phone: (979) 260-5274
Research Institution
Knowledge-Based Systems, Inc. (KBSI) proposes to design and demonstrate an innovative"Process Mining for Entity Association Disambiguation"(PMEAD) capability in response to the Navy SBIR solicitation titled"Disambiguation of Entity Association Statements."PMEAD will employ semi-automated provenance generation and process mining to identify rules which can be used to identify redundant and missing statements within entity association RDF graphs. This will improve the quality, fidelity and utility of large-scale RDF graphs derived from real-world data. The PMEAD approach is based on the premise that entities exhibit unique patterns in their behavior and therefore two entities that exhibit the same behavior can be resolved to the same entity with a high degree of certainty. PMEAD automated provenance generation and data mining approach avoids the traditional manually intensive and time-consuming process of developing a rule base for inferring missing relationships and resolving ambiguous entities.

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

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