Abstract
We present Ontop-temporal, an extension of the ontology-based data access system Ontop for query answering with temporal data and ontologies. Ontop is a system to answer SPARQL queries over various data stores, using standard R2RML mappings and an OWL 2 QL domain ontology to produce high-level conceptual views over the raw data. The Ontop-temporal extension is designed to handle timestamped log data, by additionally using (i) mappings supporting validity time specification, and (ii) rules based on metric temporal logic to define temporalised concepts. In this demo we present how Ontop-temporal can be used to facilitate the access to the MIMIC-III critical care unit dataset containing log data on hospital admissions, procedures, and diagnoses. We use the ICD9CM diagnoses ontology and temporal rules formalising the selection of patients for clinical trials taken from the clinicaltrials.gov database. We demonstrate how high-level queries can be answered by Ontop-temporal to identify patients eligible for the trials.
| Original language | English |
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| Title of host publication | CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management |
| Publisher | Association of Computing Machinery |
| Pages | 1927-1930 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450360142 |
| DOIs | |
| Publication status | Published - 17 Oct 2018 |
| Event | 27th ACM International Conference on Information and Knowledge Management, CIKM 2018 - Torino, Italy Duration: 22 Oct 2018 → 26 Oct 2018 |
Conference
| Conference | 27th ACM International Conference on Information and Knowledge Management, CIKM 2018 |
|---|---|
| Country/Territory | Italy |
| City | Torino |
| Period | 22/10/18 → 26/10/18 |
Keywords
- Metric temporal logic
- MIMIC-III
- Ontology-based data access
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Decision Sciences(all)