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Human Language Query Processing in Temporal Database Using Probabilistic Context Free Grammar


Affiliations
1 Hindusthan Institute of Technology, Tamil Nadu, India
2 Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India
     

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Nowadays interaction with computer is vital, effective process and also the storing and retrieving of data from database will play vital role in the database application. To access the Database the user should have a well-built knowledge in SQL command and procedures. But this is not possible for all users. So in this we present Human Language Query Processing for Temporal Database. This will help the novice user to interact Temporal Database in their Native language (English), without using any SQL command or procedures. The conventional Database will give only current data not past or future data. But the Temporal data will support for past, present and future data. In temporal data we used third axis as time interval, which support both Transaction time as well valid time. The valid time is the actual or real world time at which the data is valid. The main aim of this system is that the human language is interpreted with Temporal Database and to produce appropriate results.
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  • Gauri Rao, Chanchel Agarwal, Snehal Chaudry, Nikitha Kulkarni and Dr.S.H.Patel Natural Language Query Processing using Semantic Grammar in International Journal on Computer science Engineering, 2010.
  • Gauri Rao and Dr.S.H.Patel Natural Language Query Processing in International Journal on Computer Applications in Engineering and Technology and Sciences, 2009.
  • Huangi Guiaog Zangi, PhilipC-Y Sheu “A Natural Language Database Interface based on probabilistic context free grammar”, IEEE International workshop on sematic Computing and Systems 2008.
  • Ramasubramanian.P and Kannan .A. Temporal Event Matching Approach based Natural Query Processing in Temporal Databases in International Journal of Information Technology, Volume 10, No.1, 2004.
  • Jaymin Patel, Department of Computing, Imperial College, University of London MEng Temporal Database System individual Project on18 June 2003.
  • Tsz S.Cheng and Shashi. K.Gadia, Member IEEE Computer Society The Event Matching Language for Querying Temporal Data in IEEE Transactions on Knowledge and Data Engineering Volume14 ,No.5 September 2002
  • VijayalakshmiAtluri and Avigdor Gal. An authorization model for temporal and derived data: Securing information portals. ACM Transactions on Information and System Security, 5(1):62–94, 2002.
  • Piero Andrea Bonatti Elisa Bertino and Elena Ferrari. Trbac: A temporal rolebased access control model. ACM Transactions on Information and System Security, 4(3):191–223, 2001.
  • Winiwarter W and Ismail Khalil Ibrahim. A Multilingual Natural Language Interface for Ecommerce Applications. PhD thesis, University of Vienna, Austria, 2000.
  • T. Abraham and J. F. Roddick. Survey of Spatio-Temporal Databases.GeoInformatica, 3(1):61–99, March 1999.
  • Tansel, Cli_ord, ShashiGadia, and Richard Snodgrass. Temporal Databases: Theory, Design and Implementation. Database Systems and Applications Series. Benjamin/Cummings, Redwood City, CA, second edition, 1993.
  • Androutsopoulos I, Ritchie G, and Thanisch P. Masque/sql - a client and portable natural language query interface for relational databases. Database technical paper, Department of AI, University of Edinburgh, 1993.
  • Grosz J.B. Team: An experiment in the design of transportable natural language interfaces. Artificial Intelligence, 32:173–243, 1987.
  • Anxerre P and Inder R. MASQUE Modular Answering System for Queries in English - User Manual. AI Applications Institute, University of Edinberg, tech. rep. aiai/sr/10 edition, 1986.
  • J. F. Allen. Maintaining Knowledge about Temporal Intervals. Communications of the ACM, 26(11):832–843, November 1983.

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  • Human Language Query Processing in Temporal Database Using Probabilistic Context Free Grammar

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Authors

K. Murugan
Hindusthan Institute of Technology, Tamil Nadu, India
T. Ravichandran
Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India

Abstract


Nowadays interaction with computer is vital, effective process and also the storing and retrieving of data from database will play vital role in the database application. To access the Database the user should have a well-built knowledge in SQL command and procedures. But this is not possible for all users. So in this we present Human Language Query Processing for Temporal Database. This will help the novice user to interact Temporal Database in their Native language (English), without using any SQL command or procedures. The conventional Database will give only current data not past or future data. But the Temporal data will support for past, present and future data. In temporal data we used third axis as time interval, which support both Transaction time as well valid time. The valid time is the actual or real world time at which the data is valid. The main aim of this system is that the human language is interpreted with Temporal Database and to produce appropriate results.

References