J-Logic: Logical Foundations for JSON Querying
- Submitting institution
-
Birkbeck College
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 123456
- Type
- E - Conference contribution
- DOI
-
10.1145/3034786.3056106
- Title of conference / published proceedings
- Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems - PODS '17
- First page
- 137
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2017
- URL
-
https://dl.acm.org/doi/10.1145/3034786.3056106
- 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)
-
3 - Knowledge Representation and Data Management
- Citation count
- 6
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is the first to present a logic-based query language for JSON and introduces a new type of path expression to locate information in a JSON document. The work has been cited by papers published at leading conferences such as ICDT (2018) and FoIKS (2018), and by papers that discuss the formalisation, complexity and expressive power of MongoDB queries, i.e. the queries in the market leader in JSON datastores. PODS is the premier database theory conference.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -