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SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks

SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks
SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks
Imagine a Web browser that can understand the context of a Web page and recommends related semantic hyperlinks in any Web domain. In addition, imagine this browser also understands your browsing needs and personalizes information for you. The aim of our research is to achieve this in open Web environment using Semantic Web technologies and adaptive hypermedia techniques. In this paper, we discuss a novel Semantic Web browser, SemWeB, which utilizes linked data for context-based hyperlink recommendation and uses a behavior-based and an ontology-driven user modeling architecture for personalization on Web documents. The aim of this research is to bring the gap between the technology and user needs using Semantic Web technologies in Web browsing.
Linked data Semantic Web User Modelling Semantic Annotation Personalization Natural Language Processing
Sah, Melike
7483d16b-ef9a-4c24-9f00-0a01c630a844
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
De Roure, David
02879140-3508-4db9-a7f4-d114421375da
Sah, Melike
7483d16b-ef9a-4c24-9f00-0a01c630a844
Hall, Wendy
11f7f8db-854c-4481-b1ae-721a51d8790c
De Roure, David
02879140-3508-4db9-a7f4-d114421375da

Sah, Melike, Hall, Wendy and De Roure, David (2009) SemWeB Semantic Web Browser – Improving Browsing Experience with Semantic and Personalized Information and Hyperlinks. InterFace 2009: 1st National Symposium for Humanities and Technology.

Record type: Conference or Workshop Item (Other)

Abstract

Imagine a Web browser that can understand the context of a Web page and recommends related semantic hyperlinks in any Web domain. In addition, imagine this browser also understands your browsing needs and personalizes information for you. The aim of our research is to achieve this in open Web environment using Semantic Web technologies and adaptive hypermedia techniques. In this paper, we discuss a novel Semantic Web browser, SemWeB, which utilizes linked data for context-based hyperlink recommendation and uses a behavior-based and an ontology-driven user modeling architecture for personalization on Web documents. The aim of this research is to bring the gap between the technology and user needs using Semantic Web technologies in Web browsing.

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More information

Published date: 2009
Venue - Dates: InterFace 2009: 1st National Symposium for Humanities and Technology, 2009-01-01
Keywords: Linked data Semantic Web User Modelling Semantic Annotation Personalization Natural Language Processing
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 267570
URI: https://eprints.soton.ac.uk/id/eprint/267570
PURE UUID: abbdb88d-672c-426c-9241-238e737ad517
ORCID for Wendy Hall: ORCID iD orcid.org/0000-0003-4327-7811
ORCID for David De Roure: ORCID iD orcid.org/0000-0001-9074-3016

Catalogue record

Date deposited: 15 Jun 2009 13:48
Last modified: 06 Jun 2018 13:20

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