FedQPL: A Language for Logical Query Plans over Heterogeneous Federations of RDF Data Sources
2020 (English)In: iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30 - December 2, 2020 / [ed] Maria Indrawan-Santiago, Eric Pardede, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Kotsis, New York, NY, United States: Association for Computing Machinery (ACM), 2020Conference paper, Published paper (Refereed)
Abstract [en]
Federations of RDF data sources provide great potential whenqueried for answers and insights that cannot be obtained from one data source alone. A challenge for planning the execution of queries over such a federation is that the federation may be heterogeneous in terms of the types of data access interfaces provided by the federation members. This challenge has not received much attention in the literature. This paper provides a solid formal foundation for future approaches that aim to address this challenge. Our main conceptual contribution is a formal language for representing query execution plans; additionally, we identify a fragment of this language that can be used to capture the result of selecting relevant data sources for different parts of a given query. As technical contributions, we show that this fragment is more expressive than what is supported by existing source selection approaches, which effectively highlights an inherent limitation of these approaches.Moreover, we show that the source selection problem is NP-hard and in ΣP2 , and we provide a comprehensive set of rewriting rules that can be used as a basis for query optimization.
Place, publisher, year, edition, pages
New York, NY, United States: Association for Computing Machinery (ACM), 2020.
Keywords [en]
Federation, RDF, SPARQL, Linked Data Fragments
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-179246DOI: 10.1145/3428757.3429120ISI: 000869922700060Scopus ID: 2-s2.0-85100349026OAI: oai:DiVA.org:liu-179246DiVA, id: diva2:1594213
Conference
The 22nd International Conference on Information Integration and Web-based Applications & Services (iiWAS 2020), Virtual Event / Chiang Mai, Thailand, November 30 - December 2, 2020
Projects
CENIIT project no. 17.05Vetenskapsrådet, project reg. no. 2019-05655
Funder
Swedish Research Council, 2019-05655CUGS (National Graduate School in Computer Science)
Note
This paper was awarded the Best Paper Award in this conference.
Sijin Cheng’s work was funded by CUGS (the National Graduate School in Computer Science, Sweden). Olaf Hartig’s work was funded in equal parts by the Swedish Research Council (Vetenskapsrådet, project reg. no. 2019-05655) and by the CENIIT program at Linköping University (project no. 17.05).
2021-09-152021-09-152024-11-18Bibliographically approved