Using knowledge anchors to facilitate user exploration of data graphs
- Submitting institution
-
The University of Bradford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2
- Type
- D - Journal article
- DOI
-
10.3233/SW-190347
- Title of journal
- Semantic Web
- Article number
- -
- First page
- 205
- Volume
- 11
- Issue
- 2
- ISSN
- 2210-4968
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
https://content.iospress.com/articles/semantic-web/sw190347
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This interdisciplinary work published in a top journal in the field of Semantic Web presents a novel approach to data exploration by using psychology theory from Eleanor Rosch about basic level concepts and subsumption and applies it, first time, in problem of generating exploration paths in Big data graphs. The work generated ideas that resulted in one journal special issue (on Intelligent Exploration of Semantic Data) and contributed to one Ph.D. project completion (Marwan Al-Tawil). The exploration algorithms and conceptual framework were a significant contributory factors in author’s (successful) EU project grant on Smart Cities and Open data REuse (SCORE).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
