Walking without a Map: Optimizing Response Times of Traversal-Based Linked Data Queries (Extended Version)
Olaf Hartig, M. Tamer \"Ozsu

TL;DR
This paper investigates traversal-based Linked Data query execution, proposing strategies to improve response times by fetching relevant data early, and experimentally evaluates 16 approaches to optimize traversal order and response efficiency.
Contribution
It introduces 16 novel traversal strategies for Linked Data queries and demonstrates their effectiveness in reducing response times compared to baseline methods.
Findings
Some approaches significantly outperform the baseline in response times
Typical query optimization techniques have limited impact on traversal-based query response times
Early fetching strategies can improve user experience in Linked Data querying
Abstract
The emergence of Linked Data on the WWW has spawned research interest in an online execution of declarative queries over this data. A particularly interesting approach is traversal-based query execution which fetches data by traversing data links and, thus, is able to make use of up-to-date data from initially unknown data sources. The downside of this approach is the delay before the query engine completes a query execution. In this paper, we address this problem by proposing an approach to return as many elements of the result set as soon as possible. The basis of this approach is a traversal strategy that aims to fetch result-relevant data as early as possible. The challenge for such a strategy is that the query engine does not know a priori which of the data sources that will be discovered during the query execution contain result-relevant data. We introduce 16 different traversal…
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Database Systems and Queries · Data Management and Algorithms
