Development of semantic decision tree

Dongkyu Jeon, Wooju Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

The Semantic Web is an evolving development of the World Wide Web in which the meaning of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. RDF and OWL is published by W3C for the standard of Semantic Web languages which can define relationships and structures between Web resources. Since the start of Semantic Web, the semantic web data is incrementally increased by Portal, Search Engines and Linking Open Data project. Therefore, the necessity of mining useful knowledge from huge size ontology is highly expected. However, the semantic web ontology has special characteristics to apply traditional decision tree algorithm which is the most popular in classification data mining. To overcome these problems, we proposed Semantic Decision Tree Algorithm which can perform on the semantic web ontology. This algorithm will help to mine the covered knowledge in the semantic web data.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
Pages28-34
Number of pages7
Publication statusPublished - 2011 Dec 1
Event3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011 - Macau, Macao
Duration: 2011 Oct 242011 Oct 26

Publication series

NameProceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011

Other

Other3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011
CountryMacao
CityMacau
Period11/10/2411/10/26

Fingerprint

Semantic Web
Decision trees
Semantics
Ontology
Search engines
World Wide Web
Data mining

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

Cite this

Jeon, D., & Kim, W. (2011). Development of semantic decision tree. In Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011 (pp. 28-34). [6108394] (Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011).
Jeon, Dongkyu ; Kim, Wooju. / Development of semantic decision tree. Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011. 2011. pp. 28-34 (Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011).
@inproceedings{fb81555386d3486cbaea078c404dab6b,
title = "Development of semantic decision tree",
abstract = "The Semantic Web is an evolving development of the World Wide Web in which the meaning of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. RDF and OWL is published by W3C for the standard of Semantic Web languages which can define relationships and structures between Web resources. Since the start of Semantic Web, the semantic web data is incrementally increased by Portal, Search Engines and Linking Open Data project. Therefore, the necessity of mining useful knowledge from huge size ontology is highly expected. However, the semantic web ontology has special characteristics to apply traditional decision tree algorithm which is the most popular in classification data mining. To overcome these problems, we proposed Semantic Decision Tree Algorithm which can perform on the semantic web ontology. This algorithm will help to mine the covered knowledge in the semantic web data.",
author = "Dongkyu Jeon and Wooju Kim",
year = "2011",
month = "12",
day = "1",
language = "English",
isbn = "9788988678480",
series = "Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011",
pages = "28--34",
booktitle = "Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011",

}

Jeon, D & Kim, W 2011, Development of semantic decision tree. in Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011., 6108394, Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011, pp. 28-34, 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011, Macau, Macao, 11/10/24.

Development of semantic decision tree. / Jeon, Dongkyu; Kim, Wooju.

Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011. 2011. p. 28-34 6108394 (Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Development of semantic decision tree

AU - Jeon, Dongkyu

AU - Kim, Wooju

PY - 2011/12/1

Y1 - 2011/12/1

N2 - The Semantic Web is an evolving development of the World Wide Web in which the meaning of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. RDF and OWL is published by W3C for the standard of Semantic Web languages which can define relationships and structures between Web resources. Since the start of Semantic Web, the semantic web data is incrementally increased by Portal, Search Engines and Linking Open Data project. Therefore, the necessity of mining useful knowledge from huge size ontology is highly expected. However, the semantic web ontology has special characteristics to apply traditional decision tree algorithm which is the most popular in classification data mining. To overcome these problems, we proposed Semantic Decision Tree Algorithm which can perform on the semantic web ontology. This algorithm will help to mine the covered knowledge in the semantic web data.

AB - The Semantic Web is an evolving development of the World Wide Web in which the meaning of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. RDF and OWL is published by W3C for the standard of Semantic Web languages which can define relationships and structures between Web resources. Since the start of Semantic Web, the semantic web data is incrementally increased by Portal, Search Engines and Linking Open Data project. Therefore, the necessity of mining useful knowledge from huge size ontology is highly expected. However, the semantic web ontology has special characteristics to apply traditional decision tree algorithm which is the most popular in classification data mining. To overcome these problems, we proposed Semantic Decision Tree Algorithm which can perform on the semantic web ontology. This algorithm will help to mine the covered knowledge in the semantic web data.

UR - http://www.scopus.com/inward/record.url?scp=84855862247&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84855862247&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9788988678480

T3 - Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011

SP - 28

EP - 34

BT - Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011

ER -

Jeon D, Kim W. Development of semantic decision tree. In Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011. 2011. p. 28-34. 6108394. (Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011).