JOURNAL ARTICLE

Intelligent Natural Language Interface for web-based information retrieval

Abstract

This paper deals with the design of Natural Language Interface for Web-based information Retrieval. In this model, natural language query is analysed for understanding its meaning and depending on its meaning, the most relevant documents are retrieved from the World Wide Web. The proposed algorithm is based on Statistical machine learning. Natural Language text is converted to more formal representation such as First-Order Predicate Logic structure because, it is easier for computer programs to manipulate. The aim of this work is to provide interactive interface for the search engine to enhance its effectiveness for information retrieval.

Keywords:
Computer science Natural language user interface Information retrieval Natural language Natural language processing Language identification Universal Networking Language Question answering Artificial intelligence Interface (matter) Natural language programming Predicate (mathematical logic) Meaning (existential) First-order logic Human–computer information retrieval Search engine Programming language Comprehension approach

Metrics

3
Cited By
1.63
FWCI (Field Weighted Citation Impact)
13
Refs
0.88
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
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