Automatic determination of hyperlink destination in Web Index

Yosuke Aoki, Ryosuke Koshijima, Motomichi Toyama

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

8 Citations (Scopus)

Abstract

In general, a search engine is used to obtain information about specified keywords of interest. However, users must go through the list of web pages presented by the search engine in order to find the page that meets the purpose. In order to reduce this burden, we propose Web Index (WIX), a hyperlink generation system that achieves joining information resources on the web. The WIX system replaces keywords that appear in Web documents on browser into hyperlinks to a specific web page group of the user's choice. However, when there are multiple URLs paired up with a keyword, there is a need to choose the web page that meets the user's purpose. In this paper, we propose WIX System and an architecture that decides and presents likely candidates for hyperlink destination based on similarity of URLs and the content of each candidate.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages206-207
Number of pages2
EditionCONFCODENUMBER
DOIs
Publication statusPublished - 2015 Jul 13
Event19th International Database Engineering and Applications Symposium, IDEAS 2015 - Yokohama, Japan
Duration: 2015 Jul 132015 Jul 15

Other

Other19th International Database Engineering and Applications Symposium, IDEAS 2015
CountryJapan
CityYokohama
Period15/7/1315/7/15

    Fingerprint

Keywords

  • Web documents
  • Web system & hyperlink

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Aoki, Y., Koshijima, R., & Toyama, M. (2015). Automatic determination of hyperlink destination in Web Index. In ACM International Conference Proceeding Series (CONFCODENUMBER ed., pp. 206-207). [2790784] Association for Computing Machinery. https://doi.org/10.1145/2790755.2790784