Automated Reasoning in the Age of the Internet
- Submitting institution
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University of Edinburgh
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 84259500
- Type
- E - Conference contribution
- DOI
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10.1007/978-3-319-99957-9_1
- Title of conference / published proceedings
- 13th International Conference on Artificial Intelligence and Symbolic Computation
- First page
- 3
- Volume
- 11110
- Issue
- -
- ISSN
- 0302-9743
- Open access status
- Exception within 3 months of publication
- Month of publication
- August
- Year of publication
- 2018
- URL
-
-
- 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)
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B - Data Science and Artificial Intelligence
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work describes a system for automated query answering by inferring new knowledge from that retrieved from a wide range of sources on the Web. What particularly distinguishes it from earlier work is, not only that it conducts inference rather than just factoid retrieval, but that it makes predictions by applying regression to numerical data and then extrapolating and interpolating new data points. It estimates and propagates error bars as a measure of uncertainty of the numerical results. The work is currently being commercialised, in collaboration with Huawei, with the aim of delivering it on their smart speakers.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -