Dedalo: looking for clusters explanations in a labyrinth of Linked Data
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587378
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-07443-6_23
- Title of conference / published proceedings
- Lecture Notes in Computer Science
- First page
- 333
- Volume
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- Issue
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- ISSN
- -
- Open access status
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- Month of publication
- May
- Year of publication
- 2014
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
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- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Explaining data mining patterns is a “time-consuming process” (Ristoski and Paulheim, 2016). This paper provides a novel approach to this problem, using the Web of Data as an external knowledge source. This work, which was shortlisted for the 'Best Student Paper' award at ESWC 2014, has stimulated a new line of research on using formal knowledge to explain the results of machine learning algorithms (Chen et al., 2018; Gad-Elrab et al., 2020). It also provides the key component of Tiddi's doctoral dissertation, which won the prestigious 2017 Semantic Web Science Association Distinguished Dissertation Award.
- Author contribution statement
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- Non-English
- No
- English abstract
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