Process Mining for Entity Association Disambiguation (PMEAD)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$69,986.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N00014-10-M-0438
Award Id:
n/a
Agency Tracking Number:
N102-176-1296
Solicitation Year:
2010
Solicitation Topic Code:
N102-176
Solicitation Number:
2010.2
Small Business Information
1408 University Drive East, College Station, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Timothy Darr
Research Scientist II
(979) 260-5274
tdarr@kbsi.com
Business Contact:
Donielle Mayer
Business Operations Manag
(979) 260-5274
dmayer@kbsi.com
Research Institute:
Stub




Abstract
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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