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6 results on '"Mirko Spasić"'

1. A GeoSPARQL Compliance Benchmark

Author

Milos Jovanovik, Timo Homburg, and Mirko Spasić

Subjects
GeoSPARQL, geospatial data, benchmark, RDF, SPARQL, Geography (General), G1-922
Abstract

GeoSPARQL is an important standard for the geospatial linked data community, given that it defines a vocabulary for representing geospatial data in RDF, defines an extension to SPARQL for processing geospatial data, and provides support for both qualitative and quantitative spatial reasoning. However, what the community is missing is a comprehensive and objective way to measure the extent of GeoSPARQL support in GeoSPARQL-enabled RDF triplestores. To fill this gap, we developed the GeoSPARQL compliance benchmark. We propose a series of tests that check for the compliance of RDF triplestores with the GeoSPARQL standard, in order to test how many of the requirements outlined in the standard a tested system supports. This topic is of concern because the support of GeoSPARQL varies greatly between different triplestore implementations, and the extent of support is of great importance for different users. In order to showcase the benchmark and its applicability, we present a comparison of the benchmark results of several triplestores, providing an insight into their current GeoSPARQL support and the overall GeoSPARQL support in the geospatial linked data domain.

Published
2021
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2. Software for the GeoSPARQL compliance benchmark

Author

Milos Jovanovik, Timo Homburg, and Mirko Spasić

Subjects
Geospatial analysis, 010504 meteorology & atmospheric sciences, Database, business.industry, Computer science, 0211 other engineering and technologies, Triplestore, 02 engineering and technology, computer.file_format, Benchmarking, GeoSPARQL, computer.software_genre, 01 natural sciences, Software, Benchmark (computing), RDF, business, Semantic Web, computer, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences
Abstract

Checking the compliance of geospatial triplestores with the GeoSPARQL standard represents a crucial step for many users when selecting the appropriate storage solution. This publication presents the software which comprises the GeoSPARQL compliance benchmark — a benchmark which checks RDF triplestores for compliance with the requirements of the GeoSPARQL standard. Users can execute this benchmark within the HOBBIT benchmarking platform to quantify the extent to which the GeoSPARQL standard is implemented within the triplestore of interest. This enables users to make an informed decision when choosing an RDF storage solution and helps assess the general state of adoption of geospatial technologies on the Semantic Web.

Published
2021
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3. MOCHA2018: The Mighty Storage Challenge at ESWC 2018

Author

Axel-Cyrille Ngonga Ngomo, Kleanthi Georgala, Michael Röder, Mirko Spasić, Milos Jovanovik, Vassilis Papakonstantinou, and Claus Stadler

Subjects
Database, Computer science, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, SPARQL, 020201 artificial intelligence & image processing, 02 engineering and technology, computer.file_format, Linked data, computer.software_genre, computer
Abstract

The aim of the Mighty Storage Challenge (MOCHA) at ESWC 2018 was to test the performance of solutions for SPARQL processing in aspects that are relevant for modern applications. These include ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The challenge tested the systems against data derived from real applications and with realistic loads. An emphasis was put on dealing with data in form of streams or updates.

Published
2018
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4. MOCHA 2017 as a Challenge for Virtuoso

Author

Milos Jovanovik and Mirko Spasić

Subjects
020203 distributed computing, business.industry, Computer science, 010401 analytical chemistry, InformationSystems_DATABASEMANAGEMENT, 02 engineering and technology, computer.file_format, Linked data, computer.software_genre, 01 natural sciences, 0104 chemical sciences, Data access, Software, Relational database management system, Scalability, Computer data storage, 0202 electrical engineering, electronic engineering, information engineering, SPARQL, RDF, business, Software engineering, computer
Abstract

The Mighty Storage Challenge (MOCHA) aims to test the performance of solutions for SPARQL processing, in several aspects relevant for modern Linked Data applications. Virtuoso, by OpenLink Software, is a modern enterprise-grade solution for data access, integration, and relational database management, which provides a scalable RDF Quad Store. In this paper, we present a short overview of Virtuoso with a focus on RDF triple storage and SPARQL query execution. Furthermore, we showcase the final results of the MOCHA 2017 challenge and its tasks, along with a comparison between the performance of our system and the other participating systems.

Published
2017
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5. MOCHA2017: The Mighty Storage Challenge at ESWC 2017

Author

Axel-Cyrille Ngonga Ngomo, Michael Röder, Mirko Spasić, Kleanthi Georgala, Milos Jovanovik, and Henning Petzka

Subjects
Database, Computer science, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, SPARQL, 020201 artificial intelligence & image processing, 02 engineering and technology, computer.file_format, Linked data, Benchmarking, RDF, computer.software_genre, computer
Abstract

The aim of the Mighty Storage Challenge (MOCHA) at ESWC 2017 was to test the performance of solutions for SPARQL processing in aspects that are relevant for modern applications. These include ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The challenge tested the systems against data derived from real applications and with realistic loads. An emphasis was put on dealing with data in form of streams or updates.

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6. Benchmarking Virtuoso 8 at the Mighty Storage Challenge 2018: Challenge Results

Author

Mirko Spasić and Milos Jovanovik

Subjects
business.industry, Computer science, computer.file_format, Benchmarking, Linked data, computer.software_genre, Data access, Software, Relational database management system, Scalability, SPARQL, RDF, Software engineering, business, computer
Abstract

Following the success of Virtuoso at last year’s Mighty Storage Challenge - MOCHA 2017, we decided to participate once again and test the latest Virtuoso version against the new tasks which comprise the MOCHA 2018 challenge. The aim of the challenge is to test the performance of solutions for SPARQL processing in aspects relevant for modern applications: ingesting data, answering queries on large datasets and serving as backend for applications driven by Linked Data. The challenge tests the systems against data derived from real applications and with realistic loads, with an emphasis on dealing with changing data in the form of streams or updates. Virtuoso, by OpenLink Software, is a modern enterprise-grade solution for data access, integration, and relational database management, which provides a scalable RDF Quad Store. In this paper, we present the final challenge results from MOCHA 2018 for Virtuoso v8.0, compared to the other participating systems. Based on these results, Virtuoso v8.0 was declared as the overall winner of MOCHA 2018.

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