Semantic association search and rank method based on spreading activation for the semantic web

Myungjin Lee, Wooju Kim

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

12 Citations (Scopus)

Abstract

As the information on the web dramatically increases, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web based on ontology comes on the stage by W3C, and it will bring a significant advancement in web search. To do this, the Semantic Web must provide different search methods based on relationships between resources. In this paper, we propose a semantic association search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties. From this work, users can search the semantically associated resources with their query as valuable and important information.

Original languageEnglish
Title of host publicationIEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management
Pages1523-1527
Number of pages5
DOIs
Publication statusPublished - 2009 Dec 1
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China
Duration: 2009 Dec 82009 Dec 11

Other

OtherIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009
CountryChina
CityHong Kong
Period09/12/809/12/11

Fingerprint

Semantic Web
Ontology
Chemical activation
Semantics
Association reactions
Websites
Activation
Semantic web
World Wide Web
Resources
Query

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation
  • Information Systems and Management
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

Cite this

Lee, M., & Kim, W. (2009). Semantic association search and rank method based on spreading activation for the semantic web. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management (pp. 1523-1527). [5373086] https://doi.org/10.1109/IEEM.2009.5373086
Lee, Myungjin ; Kim, Wooju. / Semantic association search and rank method based on spreading activation for the semantic web. IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. pp. 1523-1527
@inproceedings{cce5ab84e2684257be9be2dc70cc29bf,
title = "Semantic association search and rank method based on spreading activation for the semantic web",
abstract = "As the information on the web dramatically increases, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web based on ontology comes on the stage by W3C, and it will bring a significant advancement in web search. To do this, the Semantic Web must provide different search methods based on relationships between resources. In this paper, we propose a semantic association search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties. From this work, users can search the semantically associated resources with their query as valuable and important information.",
author = "Myungjin Lee and Wooju Kim",
year = "2009",
month = "12",
day = "1",
doi = "10.1109/IEEM.2009.5373086",
language = "English",
isbn = "9781424448708",
pages = "1523--1527",
booktitle = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",

}

Lee, M & Kim, W 2009, Semantic association search and rank method based on spreading activation for the semantic web. in IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management., 5373086, pp. 1523-1527, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009, Hong Kong, China, 09/12/8. https://doi.org/10.1109/IEEM.2009.5373086

Semantic association search and rank method based on spreading activation for the semantic web. / Lee, Myungjin; Kim, Wooju.

IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1523-1527 5373086.

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

TY - GEN

T1 - Semantic association search and rank method based on spreading activation for the semantic web

AU - Lee, Myungjin

AU - Kim, Wooju

PY - 2009/12/1

Y1 - 2009/12/1

N2 - As the information on the web dramatically increases, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web based on ontology comes on the stage by W3C, and it will bring a significant advancement in web search. To do this, the Semantic Web must provide different search methods based on relationships between resources. In this paper, we propose a semantic association search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties. From this work, users can search the semantically associated resources with their query as valuable and important information.

AB - As the information on the web dramatically increases, the existing web reveals more and more limitations in information search because web pages are designed only for human consumption by mixing content with presentation. In order to improve this situation, the Semantic Web based on ontology comes on the stage by W3C, and it will bring a significant advancement in web search. To do this, the Semantic Web must provide different search methods based on relationships between resources. In this paper, we propose a semantic association search methodology that consists of how to find relevant information for a given user's query in the ontology, that is, a semantic network of resources and properties. From this work, users can search the semantically associated resources with their query as valuable and important information.

UR - http://www.scopus.com/inward/record.url?scp=77949502396&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77949502396&partnerID=8YFLogxK

U2 - 10.1109/IEEM.2009.5373086

DO - 10.1109/IEEM.2009.5373086

M3 - Conference contribution

SN - 9781424448708

SP - 1523

EP - 1527

BT - IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management

ER -

Lee M, Kim W. Semantic association search and rank method based on spreading activation for the semantic web. In IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management. 2009. p. 1523-1527. 5373086 https://doi.org/10.1109/IEEM.2009.5373086