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124938

Ongoing Trends of Knowledge Representation for Semantic Web: Review Study.

Article

Last updated: 22 Jan 2023

OverviewSimilar Items

Subjects

-

Tags

Computer Engineering and Systems

Abstract

The Web is the richest information repository, but most of the information it holds is unstructured. Moreover, its power is limited by the ability of human users to navigate the various sources for the information they require. To overcome this defect, semantic web vision is anticipated to be a promising path towards transforming the present web content into a machine understandable. To support this vision, augmenting web pages with description about the content they hold is necessary to make it possible to reason about it. A major challenge is to capture knowledge and structure it in a format that can be processed automatically. Therefore, knowledge representation techniques, namely annotation and ontologies, support sharing common understanding of a domain among people and computers. A large number of tools have been developed to help web content annotations and ontology creation. This paper presents a generic review of knowledge representation techniques and tools that have been developed to support annotation as well as ontology building showing advances and ongoing research. 

DOI

10.21608/bfemu.2020.124938

Keywords

Semantic Web, knowledge annotation, Representation, ontology

Authors

First Name

A.

Last Name

Riad

MiddleName

M.

Affiliation

Head of Information System Department., Faculty of Computers and Information Sciences., Mansoura University, Mansoura, Egypt

Email

amriad2000@yahoo.com

City

Mansoura

Orcid

-

First Name

Hamdy

Last Name

Elminir

MiddleName

K.

Affiliation

Head of Communication Department., Misr Academy for Engineering& Technology

Email

hamdy_elminir@hotmail.com

City

-

Orcid

-

First Name

Mohamed

Last Name

Abu ElSoud

MiddleName

-

Affiliation

Computer Science Dept., Faculty of Computers and Information Sciences. Mansoura University, Mansoura, Egypt

Email

mohamed_hossieny@yahoo.com

City

-

Orcid

-

First Name

Sahar

Last Name

Sabbeh

MiddleName

F.

Affiliation

Alzarka Higher institute for administration & computer sciences

Email

m_sabbeh@yahoo.com

City

-

Orcid

-

Volume

35

Article Issue

3

Related Issue

18592

Issue Date

2010-09-01

Receive Date

2010-07-11

Publish Date

2020-11-23

Page Start

1

Page End

9

Print ISSN

1110-0923

Online ISSN

2735-4202

Article File

BFEMU_Volume 35_Issue 3_Pages 1-9.pdf

PDF . 143.0kB

Link

https://bfemu.journals.ekb.eg/article_124938.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=124938

Order

10

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