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Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces

Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces

Miel Vander Sande, Ruben Verborgh, Anastasia Dimou, Pieter Colpaert, Erik Mannens
Copyright: © 2018 |Pages: 36
ISBN13: 9781522551911|ISBN10: 1522551913|EISBN13: 9781522551928
DOI: 10.4018/978-1-5225-5191-1.ch023
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MLA

Vander Sande, Miel, et al. "Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces." Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2018, pp. 502-537. https://doi.org/10.4018/978-1-5225-5191-1.ch023

APA

Vander Sande, M., Verborgh, R., Dimou, A., Colpaert, P., & Mannens, E. (2018). Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces. In I. Management Association (Ed.), Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications (pp. 502-537). IGI Global. https://doi.org/10.4018/978-1-5225-5191-1.ch023

Chicago

Vander Sande, Miel, et al. "Hypermedia-Based Discovery for Source Selection Using Low-Cost Linked Data Interfaces." In Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 502-537. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5191-1.ch023

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Abstract

Evaluating federated Linked Data queries requires consulting multiple sources on the Web. Before a client can execute queries, it must discover data sources, and determine which ones are relevant. Federated query execution research focuses on the actual execution, while data source discovery is often marginally discussed—even though it has a strong impact on selecting sources that contribute to the query results. Therefore, the authors introduce a discovery approach for Linked Data interfaces based on hypermedia links and controls, and apply it to federated query execution with Triple Pattern Fragments. In addition, the authors identify quantitative metrics to evaluate this discovery approach. This article describes generic evaluation measures and results for their concrete approach. With low-cost data summaries as seed, interfaces to eight large real-world datasets can discover each other within 7 minutes. Hypermedia-based client-side querying shows a promising gain of up to 50% in execution time, but demands algorithms that visit a higher number of interfaces to improve result completeness.

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