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100775

An Efficient Information-Rich Representation Scheme for Information Access and Knowledge Acquisition.

Article

Last updated: 22 Jan 2023

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Subjects

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Tags

Computer Engineering and Systems

Abstract

Tremendous growth in the number of textual documents has produced daily requirements for effective development to explore, analyze, and discover knowledge from these textual documents. Conventional text mining and managing systems mainly use the presence or absence of key words to discover and analyze useful information from textual documents. However, simple word counts and frequency distributions of term appearances do not capture the meaning behind the words, which results in limiting the ability to mine the texts. This paper proposes a novel representation scheme of a semantic understanding-based approach to mine textual documents. This approach is based on semantic notions to represent the text in documents, to infer unknown dependencies and relationships among concepts in a text, to measure the relatedness between text documents and to apply mining processes using the representation and the relatedness measure. The representation scheme reflects the existing relationships among concepts and facilitates accurate relatedness measurements that result in a better mining performance. An extensive experimental evaluation is conducted on real datasets from various domains, indicating the importance of the proposed approach.

DOI

10.21608/bfemu.2020.100775

Keywords

Linguistic processing, text analysis, Text Mining, Knowledge acquisition, information access, Interactive data exploration and discovery

Authors

First Name

Asmaa

Last Name

El-Said

MiddleName

M.

Affiliation

Computers and Systems Engineering - Faculty of Engineering - Mansoura University

Email

-

City

-

Orcid

-

First Name

Hesham

Last Name

Arafat

MiddleName

A.

Affiliation

Computers and Systems Engineering - Faculty of Engineering - Mansoura University

Email

h_arafat_ali@mans.edu.eg

City

-

Orcid

-

Volume

40

Article Issue

1

Related Issue

15305

Issue Date

2015-03-01

Receive Date

2015-01-26

Publish Date

2020-07-05

Page Start

42

Page End

59

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 40_Issue 1_Pages 42-59.pdf

PDF . 802.7kB

Link

https://bfemu.journals.ekb.eg/article_100775.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=100775

Order

4

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023