Natural Language Interfaces to Databases: An Analysis of the State of the Art View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Rodolfo A. Pazos R. , Juan J. González B. , Marco A. Aguirre L. , José A. Martínez F. , Héctor J. Fraire H.

ABSTRACT

People constantly make decisions based on information, most of which is stored in databases. Accessing this information requires the use of query languages to databases such as SQL. In order to avoid the difficulty of using these languages for users who are not computing experts, Natural Language Interfaces for Databases (NLIDB) have been developed, which permit to query databases through queries formulated in natural language. Although since the 60s many NLIDBs have been developed, their performance has not been satisfactory, there still remain very difficult problems that have not been solved by NLIDB technology, and there does not yet exist a standardized method of evaluation that permits to compare the performance of different NLIDBs. This chapter presents an analysis of NLIDBs, which includes their classification, techniques, advantages, disadvantages, and a proposal for a proper evaluation of them. More... »

PAGES

463-480

References to SciGraph publications

  • 2010. Dialogue Manager for a NLIDB for Solving the Semantic Ellipsis Problem in Query Formulation in KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS
  • 2008. Towards Building Robust Natural Language Interfaces to Databases in NATURAL LANGUAGE AND INFORMATION SYSTEMS
  • 2008. Natural Language Interface Construction Using Semantic Grammars in PRICAI 2008: TRENDS IN ARTIFICIAL INTELLIGENCE
  • 2007. A Dialogue-Based NLIDB System in a Schedule Management Domain in SOFSEM 2007: THEORY AND PRACTICE OF COMPUTER SCIENCE
  • 2011. Semantic Model for Improving the Performance of Natural Language Interfaces to Databases in ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2005. A Domain Independent Natural Language Interface to Databases Capable of Processing Complex Queries in MICAI 2005: ADVANCES IN ARTIFICIAL INTELLIGENCE
  • 2001-08-30. Using Multiple Clause Constructors in Inductive Logic Programming for Semantic Parsing in MACHINE LEARNING: ECML 2001
  • 2010. Semantic Mapping between Natural Language Questions and SQL Queries via Syntactic Pairing in NATURAL LANGUAGE PROCESSING AND INFORMATION SYSTEMS
  • 2002-08-23. User Query Understanding by the InBASE System as a Source for a Multilingual NL Generation Module in TEXT, SPEECH AND DIALOGUE
  • Book

    TITLE

    Recent Advances on Hybrid Intelligent Systems

    ISBN

    978-3-642-33020-9
    978-3-642-33021-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-33021-6_36

    DOI

    http://dx.doi.org/10.1007/978-3-642-33021-6_36

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1047257024


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