Foundational Patterns Benchmark

Tracking #: 2452-3666

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. Thus, in this paper, we describe the foundational queries benchmark using the unified foundational ontology (UFO) and discuss how foundational queries help in optimizing the query answering results. For evaluation, we tested the foundational benchmark in different data sets -- generated and real world -- and on different triple stores.
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Under Review