1
Albert Deirchow Lin, Patrick John Graydon, Justin Eliot Busch, Maureen Caudill, Nancy Ann Chinchor, Jason Chun Ming Tseng, Lei Wang, Bryner Sabido Pancho, Kenneth Scott Klein, Yuri Adrian Tijerino: Concept-based search and retrieval system. Banner & Witcoff, January 6, 2004: US06675159 (701 worldwide citation)

A concept-based indexing and search system indexes collections of documents with ontology-based predicate structures through automated and/or human-assisted methods. The system extracts the concepts behind user queries to return only those documents that match those concepts. The concept based searc ...


2
Maureen Caudill, Jason Chun Ming Tseng, Lei Wang: Method and system of ranking and clustering for document indexing and retrieval. Science Applications International Corporation, Banner & Witcoff, July 20, 2004: US06766316 (139 worldwide citation)

A relevancy ranking and clustering method and system that determines the relevance of a document relative to a user's query using a similarity comparison process. Input queries are parsed into one or more query predicate structures using an ontological parser. The ontological parser parses a se ...


3
Maureen Caudill, Jason Chun Ming Tseng, Lei Wang: Method and system of ranking and clustering for document indexing and retrieval. Science Applications International Corporation, Banner & Witcoff, February 24, 2009: US07496561 (23 worldwide citation)

A relevancy ranking and clustering method and system that determines the relevance of a document relative to a user's query using a similarity comparison process. Input queries are parsed into one or more query predicate structures using an ontological parser. The ontological parser parses a set of ...


4
Maureen Caudill, Jason Chun Ming Tseng, Lei Wang: Method and system of ranking and clustering for document indexing and retrieval. Banner & Witcoff, September 12, 2002: US20020129015-A1 (2 worldwide citation)

A relevancy ranking and clustering method and system that determines the relevance of a document relative to a user's query using a similarity comparison process. Input queries are parsed into one or more query predicate structures using an ontological parser. The ontological parser parses a set of ...


5
Maureen Caudill, Jason Chun Ming Tseng, Lei Wang: Method and system of ranking and clustering for document indexing and retrieval. Science Applications International Corporation, Banner & Witcoff, June 10, 2004: US20040111408-A1

A relevancy ranking and clustering method and system that determines the relevance of a document relative to a user's query using a similarity comparison process. Input queries are parsed into one or more query predicate structures using an ontological parser. The ontological parser parses a set of ...