Theory and Practice of Relational-to-RDF Temporal Data Exchange and Query Answering

Author:

Ao Jing1ORCID,Cheng Zehui2ORCID,Chirkova Rada1ORCID,Kolaitis Phokion G.3ORCID

Affiliation:

1. North Carolina State University

2. University of California Santa Cruz

3. IBM Research - Almaden

Abstract

We consider the problem of answering temporal queries on RDF stores, in presence of atemporal RDFS domain ontologies, of relational data sources that include temporal information, and of rules that map the domain information in the source schemas into the target ontology. Our proposed practice-oriented solution consists of two rule-based domain-independent algorithms. The first algorithm materializes target RDF data via a version of data exchange that enriches both the data and the ontology with temporal information from the relational sources. The second algorithm accepts as inputs temporal queries expressed in terms of the domain ontology using a lightweight temporal extension of SPARQL, and ensures successful evaluation of the queries on the materialized temporally-enriched RDF data. To study the quality of the information generated by the algorithms, we develop a general framework that formalizes the relational-to-RDF temporal data-exchange problem. The framework includes a chase formalism and a formal solution for the problem of answering temporal queries in the context of relational-to-RDF temporal data exchange. In this article, we present the algorithms and the formal framework that proves correctness of the information output by the algorithms, and also report on the algorithm implementation and experimental results for two application domains.

Publisher

Association for Computing Machinery (ACM)

Subject

Information Systems and Management,Information Systems

Reference42 articles.

1. Dean Allemang and James Hendler. 2011. Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL (2nd. ed.). Morgan Kaufmann.

2. Maintaining knowledge about temporal intervals

3. Jing Ao, Zehui Cheng, Rada Chirkova, and Phokion G. Kolaitis. 2020. Temporal enrichment and querying of ontology-compliant data. In Proceedings of the ADBIS 2020 Short Papers. 129–139.

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