Exploring contextual models in chemical patent search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6107 LNCS, Issue , 2010, Pages 60-69

  Urbain, Jay ^a   Frieder, Ophir ^b  

^a MILWAUKEE SCHOOL OF ENGINEERING   (United States)

^b GEORGETOWN UNIVERSITY   (United States)

Author keywords

Chemical IR; Dimensional Modeling; Information Retrieval; Patent Retrieval; Probabilistic Modeling; Scaleable Database Systems

Indexed keywords

AMAZON WEB SERVICES; ARBITRARY NUMBER; AUTOMATICALLY GENERATED; CHEMICAL PATENTS; CLOUD COMPUTING; DOCUMENT CONTEXT; ENTITY SEARCH; INDEXING MODELS; INFORMATION EXTRACTION TECHNIQUES; MULTIPLE LEVELS; NAMED ENTITIES; PATENT RETRIEVAL; PRIOR ART SEARCH; PROBABILISTIC MODELING; PROBABILISTIC RETRIEVAL; QUERY PROCESSING ALGORITHMS; RETRIEVAL MODELS; SCALEABLE; SCALEABLE DATABASE SYSTEMS; STRUCTURED QUERIES;

ABSTRACTING; AUTOMATIC TEST PATTERN GENERATION; DATABASE SYSTEMS; DISTRIBUTED COMPUTER SYSTEMS; INDEXING (MATERIALS WORKING); INDEXING (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS; PATENTS AND INVENTIONS; QUERY PROCESSING; WEB SERVICES;

INFORMATION RETRIEVAL;

EID: 77954438702     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13084-7_6     Document Type: Conference Paper

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