Output details
11 - Computer Science and Informatics
University of Sheffield
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Output 0 of 0 in the submission
Article title
Disambiguating identity web references using Web 2.0 data and semantics
Type
D - Journal article
Title of journal
Web Semantics: Science, Services and Agents on the World Wide Web
Article number
-
Volume number
8
Issue number
2-3
First page of article
125
ISSN of journal
15708268
Year of publication
2010
URL
-
Number of additional authors
1
Additional information
<16>Disambiguating references to persons on the Web is fundamental to applications like identification and prevention of identity theft. This paper presents a method for this whose novelty is (1) a technique to construct a profile from an individual’s social media presence (e.g. Facebook) (2) two approaches (semi-supervised learning and graph-based random walk) to use the profile for disambiguation. The approach outperforms prior work and approximates human performance. It has led to further projects funded by TSB/Home Office (TRIDS) and the EPSRC (Randms, LODIE) and an application commercialized by our spin-out K-Now. JWS (IF:3.412) is the top semantic web journal.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
2
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
