• Corpus ID: 12588561

Natural Language Web Interface for Database (NLWIDB)

@article{Alexander2013NaturalLW,
  title={Natural Language Web Interface for Database (NLWIDB)},
  author={Rukshan Alexander and Prashanthi Rukshan and Sinnathamby Mahesan},
  journal={ArXiv},
  year={2013},
  volume={abs/1308.3830}
}
It is a long term desire of the computer users to minimize the communication gap between the computer and a human. On the other hand, almost all ICT applications store information in to databases and retrieve from them. Retrieving information from the database requires knowledge of technical languages such as Structured Query Language. However majority of the computer users who interact with the databases do not have a technical background and are intimidated by the idea of using languages such… 
View PDF on arXiv
16 Citations
Background Citations
5
Methods Citations
5

Figures and Tables from this paper

16 Citations

NATURAL LANGUAGE PROCESSING IN COOPERATIVE QUERY ANSWERING DATABASES (NLPiCQA)
TLDR
This paper presents an architecture that combines Natural Language Processing (NLP) and Cooperative Query Processing (CQA) to develop a cooperative database system and enables casual users to submit queries in plain English language and the system returns cooperative results – results more than what the user will normally require.
Rule based Domain Specific Semantic Analysis for Natural Language Interface for Database
TLDR
This paper shows how to develop an effective and simple interface for a non-technical user to interact with their database in their natural language and chooses English as the user's natural language.
Rule based Domain Specific Semantic Analysis for Natural Language Interface for Database
TLDR
This paper shows how to develop an effective and simple interface for a non-technical user to interact with their database in their natural language and chooses English as the user's natural language.
Mobile natural language database interface for accessing relational data
TLDR
The contribution of this work is to take the idea of Natural Language, apply it to databases, and examine the advantages and disadvantages of creating a new, lightweight, Natural Language Database Interface.
Frameworks for Querying Databases Using Natural Language: A Literature Review
TLDR
The study concludes that the majority of frameworks focus on translating natural language queries to SQL and translates English language text to queries, and the SQL and NoSQL-based frameworks are categorized.
A Review on Information Retrieval – Natural Language Processing Approach
TLDR
A brief survey of various methods used to store and retrieve data using Natural Language Processing (NLP) is carried out in this paper.
NLP for Information Retrieval using B Trees
TLDR
A hybrid system to query and retrieve the data from the database using natural language is implemented, it is a combination of keyword based and semantic analysis methods and shows that using B-tree is found to be faster and superior in retrieving information.
Using Deep Learning Technique To Query Relational Data Using Multi-Lingual Query Generator And Translator With NLP Support
TLDR
This research proposal intends to create-develop an interface using Meaningful matching techniques that will translate natural search terms as SQL using a predefined set of written production rules and predefined data dictionaries, the data dictionary will consist of a set of definitions for relationships and properties.
Towards Semantic Search for Mathematical Notation
TLDR
Results of exemplary search queries obtained for different types of input data format with application of two different word distance measures are presented and briefly the observed properties are discussed.
Question answering systems: the story till the Arabic linked data
TLDR
This paper surveys various QAS such as Natural Language Interfacing to DataBases (NLIDB), ontology-based question answering and question answering systems for unstructured data, and gives also the point of view on how can QAS deal with Arabic linked data.
...
...

References

SHOWING 1-10 OF 13 REFERENCES
Natural Language Database Interface for Selection of Data Using Grammar and Parsing
TLDR
The architecture of new NLDBI system, its implementation and results obtained are highlighted and the work has been experimented on primitive database queries with certain constraints.
Using natural language processing in order to create SQL queries
TLDR
A method for building a ldquonatural languages interfaces to data basesrdquo (NLIDB) system which first parses the input sentences, and then the natural language expressions are transformed to SQL language.
Developing a natural language interface to complex data
TLDR
The overall system architecture is presented, showing how a user is buffered from the actual database management systems (DBMSs) by three layers of insulating components.
Natural language interfaces to databases - an introduction
TLDR
An introduction to natural language interfaces to databases (NLIDBS) and some less explored areas of NLIDB research are presented, namely database updates, meta-knowledge questions, temporal questions, and multi-modal NLIDBS.
A Phrasal Approach to Natural Language Interfaces over Databases
TLDR
Ability to both understand and generate natural language enables STEP to engage the user in clarification dialogs when the parse of their query is of questionable quality or is open to multiple interpretations.
A Natural Language Database Interface Based on a Probabilistic Context Free Grammar
TLDR
The architecture of a new NLDBI system including its probabilistic context free grammar, the inside and outside probabilities which can be used to construct theparse tree, an algorithm to calculate the probabilities, and the usage of dependency structures and verb subcategorization in analyzing the parse tree are proposed.
Omnibase: Uniform Access to Heterogeneous Data for Question Answering
TLDR
Omnibase is a system that integrates heterogeneous data sources using an object-property-value model, and with the help of Omnibase, the START natural language system can now access numerous heterogeneousData sources on the Web in a uniform manner, and answers millions of user questions with high precision.
Progress in natural language understanding: an application to lunar geology
  • W. Woods
  • Computer Science
    AFIPS National Computer Conference
  • 1973
TLDR
The Lunar Sciences Natural Language Information System is a research prototype of a system to deal with this and other man-machine communication problems by adapting the machine to the conventions of ordinary natural English rather than requiring the man to adapt to the machine.
Talk to Your Semantic Web
TLDR
The authors LingoLogic interface technology can be seen as a widely useful human interface technology that can extend the semantic Web.
NATURAL LANGUAGE QUERY PROCESSING USING SEMANTIC GRAMMAR
TLDR
The architecture for translating English Query into SQL using Semantic Grammar is proposed, which combines new empirical corpus-based methods, including the use of probabilistic and information theoretic techniques, with traditional symbolic methods.
...
...