SemiLD: mediator-based framework for keyword search over semi-structured and linked data
- Submitting institution
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Anglia Ruskin University Higher Education Corporation
- Unit of assessment
- 12 - Engineering
- Output identifier
- 320
- Type
- D - Journal article
- DOI
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10.1007/s10844-018-0536-1
- Title of journal
- Journal of Intelligent Information Systems
- Article number
- 2
- First page
- 311
- Volume
- 52
- Issue
- 2
- ISSN
- 1573-7675
- Open access status
- Not compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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- 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
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2
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Linked Data initiative has completely changed the procedure of sharing knowledge over the web, but many data sources of significant value have not migrated to this new data space and continue to publish semi-structured data. The new mediator-based framework, SemiLD, is used to integrate on-the-fly heterogeneous semi-structured and Linked Data sources. A journal reviewer remarked ‘the huge work into implementation’ and the practical importance of the framework.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -