منابع مشابه
Natural Language Access to Enterprise Data
38 AI MAGAZINE Today’s enterprises need to make decisions based on analyzing massive and heterogeneous data sources. More and more aspects of business are driven by data, and as a result more and more business users need access to data. Offering easy access to the right data to diverse business users is of growing importance. There are several challenges that must be overcome to meet this goal....
متن کاملDeduction for Natural Language Access to Data
1 Department of Linguistics, Stanford University Stanford, California, U.S.A. [email protected] 2 Institute for Natural Language Processing, University of Stuttgart Stuttgart, Germany [email protected] 3 Office of the CTO, SAP Labs Palo Alto, California, U.S.A. [email protected] †now at Infosys 4 Artificial Intelligence Center, SRI International Menlo Park, California, U.S.A wald...
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Data b a s e s a c c e s s i s t y p i c a l l y approached as a prog~anmi n g problem r a t h e r t han a u s e r i n t e r f a c e problem. Wez. conseq e n t l y see s i t u a t i o n s where on ly programmers can a c c e s s i n f o r m a t i o n i n d a t a b a s e s , i n s p i t e o f the f a c t t h a t t h e peop le who need t h i s i n f o r m a t i o n a re t y p i c a l l y n o n p r...
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We describe our use of an existing resource, the Mouse Anatomical Nomenclature, to improve a symbolic interface to anatomically-indexed gene expression data. The goal is to reduce user effort in specifying anatomical structures of interest and increase precision and recall.
متن کاملNatural Language Access to Data Bases: Interpreting Update Requests
For natural language data base systems to operate effectively in practical domains, they must have the capabilities required by real applications. One such capability is understanding and performing update requests. The processing of natural language updates raises problems not encountered in the processing of queries. These difficulties stem from the fact that the user will naturally phrase re...
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ژورنال
عنوان ژورنال: AI Magazine
سال: 2014
ISSN: 2371-9621,0738-4602
DOI: 10.1609/aimag.v35i1.2502