Foundational Patterns Benchmark

Tracking #: 2544-3758

This paper is currently under review
Authors: 
Jana Ahmad
Petr Křemen

Responsible editor: 
Guest Editors Web of Data 2020

Submission type: 
Full Paper
Abstract: 
Recently, there has been a growing interest in using ontology as a fundamental methodology to represent domain-specific conceptual models in order to improve the semantics, accuracy and relevancy of the domain user query results. However, the volume of data has grown steadily over the past decade. Therefore, managing, answering user's queries and retrieving data from multiple data sources could be a significant challenge for any enterprise. In this paper, we show how triple store data compliant with the Unified Foundational Ontology (UFO) can be efficiently queried. We also present foundational patterns benchmark that helps us choosing the most efficient triple store and its layout. We evaluate the foundational benchmark on both generated and real-world datasets for state-of-art triple stores.
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Under Review