Discovery and diagnosis of wrong SPARQL queries with ontology and constraint reasoning

Almendros-Jiménez, Jesús Manuel; Becerra-Terón, Antonio

doi:10.1016/j.eswa.2020.113772

Cited by 12 publications

(4 citation statements)

References 39 publications

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“…5 The remote execution is also linked to the originating endpoint using lsqv:endpoint. 6 Given that these meta-data constitute provenance for the query, we use the PROV Ontology (PROV-O) [51] for modelling the time, date and agent involved in the remote execution.…”

Section: Stadler Et Al / Lsq 20: a Linked Dataset Of Sparql Query Logsmentioning

confidence: 99%

“…'s of interest). 6 Although there exist properties called "endpoint" -such as void:sparqlEndpoint or sd:endpoint -the domains of these properties were not query executions, but rather VoID datasets (i.e., sets of RDF triples), or SPARQL services. Though it would be possible to define properties such as lsqv:dataset or lsqv:service and then link a query execution <x> to an endpoint URL <e> with <x> lsqv:dataset [void:sparqlEndpoint <e>], or alternatively <x> lsqv:service [sd:endpoint <e>], this would introduce O(n) additional triples to the LSQ 2.0 dataset, for n the number of remote query executions (in LSQ 2.0, n = 43,952,379).…”

Section: Publicationmentioning

confidence: 99%

“…They use LSQ for their evaluation. -Almendros-Jimenez et al [6] present two methods for discovering and diagnosing "wrong" SPARQL queries based on ontology reasoning. They evaluate their approach using LSQ queries.…”

Section: Lsq Adoptionmentioning

confidence: 99%

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LSQ 2.0: A linked dataset of SPARQL query logs

Stadler

Saleem

Mehmood

et al. 2024

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We present the Linked SPARQL Queries (LSQ) dataset, which currently describes 43.95 million executions of 11.56 million unique SPARQL queries extracted from the logs of 27 different endpoints. The LSQ dataset provides RDF descriptions of each such query, which are indexed in a public LSQ endpoint, allowing interested parties to find queries with the characteristics they require. We begin by describing the use cases envisaged for the LSQ dataset, which include applications for research on common features of queries, for building custom benchmarks, and for designing user interfaces. We then discuss how LSQ has been used in practice since the release of four initial SPARQL logs in 2015. We discuss the model and vocabulary that we use to represent these queries in RDF. We then provide a brief overview of the 27 endpoints from which we extracted queries in terms of the domain to which they pertain and the data they contain. We provide statistics on the queries included from each log, including the number of query executions, unique queries, as well as distributions of queries for a variety of selected characteristics. We finally discuss how the LSQ dataset is hosted and how it can be accessed and leveraged by interested parties for their use cases.

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Section: Stadler Et Al / Lsq 20: a Linked Dataset Of Sparql Query Logsmentioning

confidence: 99%

Section: Publicationmentioning

confidence: 99%

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LSQ 2.0: A linked dataset of SPARQL query logs

Stadler

Saleem

Mehmood

et al. 2024

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“…These tests not only explored the potential of leveraging linked data from diverse datasets but also assessed the intricacies and challenges associated with executing complex SPARQL queries. In doing so, the tests aimed to identify and rectify common errors and shortcomings, contributing to the refinement and optimization of the overall system [20].…”

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confidence: 99%

Semantic Modelling Approach for Safety-Related Traffic Information Using DATEX II

Samper-Zapater,

Gutiérrez-Moret,

Rocha

et al. 2023

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The significance of Linked Open Data datasets for traffic information extends beyond just including open traffic data. It incorporates links to other relevant thematic datasets available on the web. This enables federated queries across different data platforms from various countries and sectors, such as transport, geospatial, environmental, weather, and more. Businesses, researchers, national operators, administrators, and citizens at large can benefit from having dynamic traffic open data connected to heterogeneous datasets across Member States. This paper focuses on the development of a semantic model that enhances the basic service to access open traffic data through a LOD-enhanced Traffic Information System in alignment with the ITS Directive (2010/40/EU). The objective is not limited to just viewing or downloading data but also to improve the extraction of meaningful information and enable other types of services that are only achievable through LOD. By structuring the information using the RDF format meant for machines and employing SPARQL for querying, LOD allows for comprehensive and unified access to all datasets. Considering that the European standard DATEX II is widely used in many priority areas and services mentioned in the ITS Directive, LOD DATEX II was developed as a complementary approach to DATEX II XML. This facilitates the accessibility and comprehensibility of European traffic data and services. As part of this development, an ontological model called dtx_srti, based on the DATEX II Ontology, was created to support these efforts.

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Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach

Kaur

Nand

2021

Communications in Computer and Information Science

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Discovery and diagnosis of wrong SPARQL queries with ontology and constraint reasoning

Cited by 12 publications

References 39 publications

LSQ 2.0: A linked dataset of SPARQL query logs

LSQ 2.0: A linked dataset of SPARQL query logs

Semantic Modelling Approach for Safety-Related Traffic Information Using DATEX II

Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach

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