JOURNAL ARTICLE

Artificial Intelligent Information Retrieval Using Assigning Context of Documents

Abstract

In this paper, an intelligent information retrieval system prototype based on assigning context to documents is proposed. This system novel prototype has a better retrieval effectiveness than traditional key-word systems. In this intelligent agent paradigm system, each document is assigned context based on the type of information. The prototype system offers a new methodology for assigning context of documents in a collection. This novel intelligent information retrieval system showed promising results.

Keywords:
Computer science Information retrieval Context (archaeology) Key (lock) Cognitive models of information retrieval Document retrieval Human–computer information retrieval Intelligent decision support system Intelligent agent Word (group theory) Artificial intelligence World Wide Web Search engine

Metrics

7
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.08
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
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