SlideShare a Scribd company logo
1 of 11
Download to read offline
LSQ: The Linked SPARQL Queries Dataset
Muhammad Saleem1 Intizar Ali 2 Aidan Hogan 3
Qaiser Mehmood2 Axel Ngonga 1
1AKSW, University of Leipzig, Germany
2INSIGHT, NUIG, Ireland
3DCC, Universidad de Chile
International Semantic Web Conference, Bethlehem, USA, 2015
Saleem et al. (AKSW) LSQ ISWC 2015 1 / 11
LSQ: The Linked SPARQL Queries Dataset
Linked Dataset of SPARQL queries extracted from endpoint logs
DBpedia (232 million triples)
30/04/2010–20/07/2010
Linked Geo Data (1 billion triples)
24/11/2010–06/07/2011
Semantic Web Dog Food (300 thousand triples)
16/05/2014–12/11/2014
British Museum (1.4 million triples)
08/11/2014–01/12/2014
Saleem et al. (AKSW) LSQ ISWC 2015 2 / 11
LSQ Data Model
Saleem et al. (AKSW) LSQ ISWC 2015 3 / 11
LSQ Statistics
Saleem et al. (AKSW) LSQ ISWC 2015 4 / 11
LSQ Statistics
Saleem et al. (AKSW) LSQ ISWC 2015 5 / 11
LSQ Statistics
Saleem et al. (AKSW) LSQ ISWC 2015 6 / 11
LSQ Statistics
Saleem et al. (AKSW) LSQ ISWC 2015 7 / 11
LSQ Statistics
Saleem et al. (AKSW) LSQ ISWC 2015 8 / 11
LSQ Statistics
90% of the agents issues fewer than 3% queries
Saleem et al. (AKSW) LSQ ISWC 2015 9 / 11
Use-Cases
Custom Benchmarks
SPARQL Adoption
Caching
Usability
Meta-Querying
Saleem et al. (AKSW) LSQ ISWC 2015 10 / 11
Conclusion and Future Work
First Linked Dataset of real-world SPARQL queries
5.7 million query executions, 73 million triples
90% of the agents issues fewer than 3% queries
LSQ is available from (http://aksw.github.io/LSQ/)
Add more logs, e.g., Bioportal, Strabon
Update current logs (esp. DBpedia)
Link to the benchmark generation framework FEASIBLE
(http://feasible.aksw.org/)
Saleem et al. (AKSW) LSQ ISWC 2015 11 / 11

More Related Content

Viewers also liked

PresentationFinal
PresentationFinalPresentationFinal
PresentationFinal
Lin Han
 
FluxGraph: a time-machine for your graphs
FluxGraph: a time-machine for your graphsFluxGraph: a time-machine for your graphs
FluxGraph: a time-machine for your graphs
datablend
 
Efficient source selection for sparql endpoint federation
Efficient source selection for sparql endpoint federationEfficient source selection for sparql endpoint federation
Efficient source selection for sparql endpoint federation
Muhammad Saleem
 

Viewers also liked (20)

Linked Cancer Genome Atlas Database
Linked Cancer Genome Atlas DatabaseLinked Cancer Genome Atlas Database
Linked Cancer Genome Atlas Database
 
DAW: Duplicate-AWare Federated Query Processing over the Web of Data
DAW: Duplicate-AWare Federated Query Processing over the Web of DataDAW: Duplicate-AWare Federated Query Processing over the Web of Data
DAW: Duplicate-AWare Federated Query Processing over the Web of Data
 
SAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes
SAFE: Policy Aware SPARQL Query Federation Over RDF Data CubesSAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes
SAFE: Policy Aware SPARQL Query Federation Over RDF Data Cubes
 
Data collection
Data collectionData collection
Data collection
 
Malmo 11.11.2008
Malmo 11.11.2008Malmo 11.11.2008
Malmo 11.11.2008
 
PresentationFinal
PresentationFinalPresentationFinal
PresentationFinal
 
Visual Exploration of Clinical and Genomic Data for Patient Stratification
Visual Exploration of Clinical and Genomic Data for Patient StratificationVisual Exploration of Clinical and Genomic Data for Patient Stratification
Visual Exploration of Clinical and Genomic Data for Patient Stratification
 
Cancer Research Data Ecosystem - Dr. Warren Kibbe
Cancer Research Data Ecosystem - Dr. Warren KibbeCancer Research Data Ecosystem - Dr. Warren Kibbe
Cancer Research Data Ecosystem - Dr. Warren Kibbe
 
how to sell
how to sellhow to sell
how to sell
 
Clinical research training - Dr Blanaid Mee - Dec 7th 2016
Clinical research training - Dr Blanaid Mee - Dec 7th 2016Clinical research training - Dr Blanaid Mee - Dec 7th 2016
Clinical research training - Dr Blanaid Mee - Dec 7th 2016
 
City of hope research informatics common data elements
City of hope research informatics common data elementsCity of hope research informatics common data elements
City of hope research informatics common data elements
 
Patient profiling disaggregating the data
Patient profiling disaggregating the dataPatient profiling disaggregating the data
Patient profiling disaggregating the data
 
Patient-Generated Data for Cancer Treatment and Management
Patient-Generated Data for Cancer Treatment and ManagementPatient-Generated Data for Cancer Treatment and Management
Patient-Generated Data for Cancer Treatment and Management
 
FluxGraph: a time-machine for your graphs
FluxGraph: a time-machine for your graphsFluxGraph: a time-machine for your graphs
FluxGraph: a time-machine for your graphs
 
iHT² Health IT Summit New York - Cancer Care Ontario Presentation "Transformi...
iHT² Health IT Summit New York - Cancer Care Ontario Presentation "Transformi...iHT² Health IT Summit New York - Cancer Care Ontario Presentation "Transformi...
iHT² Health IT Summit New York - Cancer Care Ontario Presentation "Transformi...
 
Impact of Multidisciplinary Discussion on Treatment Outcome For Gynecologic C...
Impact of Multidisciplinary Discussion on Treatment Outcome For Gynecologic C...Impact of Multidisciplinary Discussion on Treatment Outcome For Gynecologic C...
Impact of Multidisciplinary Discussion on Treatment Outcome For Gynecologic C...
 
Efficient source selection for sparql endpoint federation
Efficient source selection for sparql endpoint federationEfficient source selection for sparql endpoint federation
Efficient source selection for sparql endpoint federation
 
Elective Care Conference: the role of the MDT coordinator role
Elective Care Conference: the role of the MDT coordinator role Elective Care Conference: the role of the MDT coordinator role
Elective Care Conference: the role of the MDT coordinator role
 
2015 Micromedex使用者大會 如何在臨床工作中找到實證解答
2015 Micromedex使用者大會 如何在臨床工作中找到實證解答2015 Micromedex使用者大會 如何在臨床工作中找到實證解答
2015 Micromedex使用者大會 如何在臨床工作中找到實證解答
 
National Cancer Data Ecosystem and Data Sharing
National Cancer Data Ecosystem and Data SharingNational Cancer Data Ecosystem and Data Sharing
National Cancer Data Ecosystem and Data Sharing
 

Similar to LSQ: The Linked SPARQL Queries Dataset

Open library data and embrace the world library linked data
Open library data and embrace the world library linked dataOpen library data and embrace the world library linked data
Open library data and embrace the world library linked data
皓仁 柯
 
Rui Yan LISC 2015 slides
Rui Yan LISC 2015 slidesRui Yan LISC 2015 slides
Rui Yan LISC 2015 slides
Rui Yan
 
Stream Reasoning: Where we got so far. Oxford 2010.1.18
Stream Reasoning: Where we got so far. Oxford 2010.1.18Stream Reasoning: Where we got so far. Oxford 2010.1.18
Stream Reasoning: Where we got so far. Oxford 2010.1.18
Emanuele Della Valle
 

Similar to LSQ: The Linked SPARQL Queries Dataset (20)

Web Data Management in RDF Age
Web Data Management in RDF AgeWeb Data Management in RDF Age
Web Data Management in RDF Age
 
Web Data Management with RDF
Web Data Management with RDFWeb Data Management with RDF
Web Data Management with RDF
 
A Biological Internet?: Eywa
A Biological Internet?: EywaA Biological Internet?: Eywa
A Biological Internet?: Eywa
 
Digital Services Division & The Biodiversity Heritage Library
Digital Services Division & The Biodiversity Heritage LibraryDigital Services Division & The Biodiversity Heritage Library
Digital Services Division & The Biodiversity Heritage Library
 
Open library data and embrace the world library linked data
Open library data and embrace the world library linked dataOpen library data and embrace the world library linked data
Open library data and embrace the world library linked data
 
Tackling variety in event based systems
Tackling variety in event based systemsTackling variety in event based systems
Tackling variety in event based systems
 
COPO kick-off meeting
COPO kick-off meetingCOPO kick-off meeting
COPO kick-off meeting
 
What's New at OCLC?
What's New at OCLC?What's New at OCLC?
What's New at OCLC?
 
Rui Yan LISC 2015 slides
Rui Yan LISC 2015 slidesRui Yan LISC 2015 slides
Rui Yan LISC 2015 slides
 
Interlinking educational data to Web of Data (Thesis presentation)
Interlinking educational data to Web of Data (Thesis presentation)Interlinking educational data to Web of Data (Thesis presentation)
Interlinking educational data to Web of Data (Thesis presentation)
 
Linked Data Overview - AGI Technical SIG
Linked Data Overview - AGI Technical SIGLinked Data Overview - AGI Technical SIG
Linked Data Overview - AGI Technical SIG
 
Human Studies Database Project (demo)
Human Studies Database Project (demo)Human Studies Database Project (demo)
Human Studies Database Project (demo)
 
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
Data Facilities Workshop - Panel on Current Concepts in Data Sharing & Intero...
 
NLP Data Cleansing Based on Linguistic Ontology Constraints
NLP Data Cleansing Based on Linguistic Ontology ConstraintsNLP Data Cleansing Based on Linguistic Ontology Constraints
NLP Data Cleansing Based on Linguistic Ontology Constraints
 
Friday talk 11.02.2011
Friday talk 11.02.2011Friday talk 11.02.2011
Friday talk 11.02.2011
 
Computational Research day 2015
Computational Research day 2015Computational Research day 2015
Computational Research day 2015
 
Metadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data RepositoriesMetadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data Repositories
 
How to Create the Google for Earth Data (XLDB 2015, Stanford)
How to Create the Google for Earth Data (XLDB 2015, Stanford)How to Create the Google for Earth Data (XLDB 2015, Stanford)
How to Create the Google for Earth Data (XLDB 2015, Stanford)
 
ACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into EurekaACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
ACS 248th Paper 146 VIVO/ScientistsDB Integration into Eureka
 
Stream Reasoning: Where we got so far. Oxford 2010.1.18
Stream Reasoning: Where we got so far. Oxford 2010.1.18Stream Reasoning: Where we got so far. Oxford 2010.1.18
Stream Reasoning: Where we got so far. Oxford 2010.1.18
 

More from Muhammad Saleem

QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
Muhammad Saleem
 
SQCFramework: SPARQL Query containment Benchmark Generation Framework
SQCFramework: SPARQL Query containment  Benchmark Generation Framework SQCFramework: SPARQL Query containment  Benchmark Generation Framework
SQCFramework: SPARQL Query containment Benchmark Generation Framework
Muhammad Saleem
 
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
Muhammad Saleem
 

More from Muhammad Saleem (15)

QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
QaldGen: Towards Microbenchmarking of Question Answering Systems Over Knowled...
 
How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benc...
How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benc...How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benc...
How Representative Is a SPARQL Benchmark? An Analysis of RDF Triplestore Benc...
 
LargeRDFBench
LargeRDFBenchLargeRDFBench
LargeRDFBench
 
Extended LargeRDFBench
Extended LargeRDFBenchExtended LargeRDFBench
Extended LargeRDFBench
 
CostFed: Cost-Based Query Optimization for SPARQL Endpoint Federation
CostFed: Cost-Based Query Optimization for SPARQL Endpoint FederationCostFed: Cost-Based Query Optimization for SPARQL Endpoint Federation
CostFed: Cost-Based Query Optimization for SPARQL Endpoint Federation
 
SQCFramework: SPARQL Query containment Benchmark Generation Framework
SQCFramework: SPARQL Query containment  Benchmark Generation Framework SQCFramework: SPARQL Query containment  Benchmark Generation Framework
SQCFramework: SPARQL Query containment Benchmark Generation Framework
 
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
Question Answering Over Linked Data: What is Difficult to Answer? What Affect...
 
Federated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFedFederated Query Formulation and Processing Through BioFed
Federated Query Formulation and Processing Through BioFed
 
Fine-grained Evaluation of SPARQL Endpoint Federation Systems
Fine-grained Evaluation of SPARQL Endpoint Federation SystemsFine-grained Evaluation of SPARQL Endpoint Federation Systems
Fine-grained Evaluation of SPARQL Endpoint Federation Systems
 
SPARQL Querying Benchmarks ISWC2016
SPARQL Querying Benchmarks ISWC2016SPARQL Querying Benchmarks ISWC2016
SPARQL Querying Benchmarks ISWC2016
 
FEASIBLE-Benchmark-Framework-ISWC2015
FEASIBLE-Benchmark-Framework-ISWC2015FEASIBLE-Benchmark-Framework-ISWC2015
FEASIBLE-Benchmark-Framework-ISWC2015
 
Federated SPARQL Query Processing ISWC2015 Tutorial
Federated SPARQL Query Processing ISWC2015 TutorialFederated SPARQL Query Processing ISWC2015 Tutorial
Federated SPARQL Query Processing ISWC2015 Tutorial
 
Federated SPARQL query processing over the Web of Data
Federated SPARQL query processing over the Web of DataFederated SPARQL query processing over the Web of Data
Federated SPARQL query processing over the Web of Data
 
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint FederationHiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
HiBISCuS: Hypergraph-Based Source Selection for SPARQL Endpoint Federation
 
Fostering Serendipity through Big Linked Data
Fostering Serendipity through Big Linked DataFostering Serendipity through Big Linked Data
Fostering Serendipity through Big Linked Data
 

Recently uploaded

CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
Silpa
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Silpa
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
seri bangash
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
Scintica Instrumentation
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Sérgio Sacani
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Sérgio Sacani
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 

Recently uploaded (20)

FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceFAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical Science
 
Use of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptxUse of mutants in understanding seedling development.pptx
Use of mutants in understanding seedling development.pptx
 
Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.Atp synthase , Atp synthase complex 1 to 4.
Atp synthase , Atp synthase complex 1 to 4.
 
module for grade 9 for distance learning
module for grade 9 for distance learningmodule for grade 9 for distance learning
module for grade 9 for distance learning
 
Chemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdfChemistry 5th semester paper 1st Notes.pdf
Chemistry 5th semester paper 1st Notes.pdf
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
 
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.Cyathodium bryophyte: morphology, anatomy, reproduction etc.
Cyathodium bryophyte: morphology, anatomy, reproduction etc.
 
Role of AI in seed science Predictive modelling and Beyond.pptx
Role of AI in seed science  Predictive modelling and  Beyond.pptxRole of AI in seed science  Predictive modelling and  Beyond.pptx
Role of AI in seed science Predictive modelling and Beyond.pptx
 
Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.Proteomics: types, protein profiling steps etc.
Proteomics: types, protein profiling steps etc.
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
Genome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptxGenome sequencing,shotgun sequencing.pptx
Genome sequencing,shotgun sequencing.pptx
 
The Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptxThe Mariana Trench remarkable geological features on Earth.pptx
The Mariana Trench remarkable geological features on Earth.pptx
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
(May 9, 2024) Enhanced Ultrafast Vector Flow Imaging (VFI) Using Multi-Angle ...
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
PATNA CALL GIRLS 8617370543 LOW PRICE ESCORT SERVICE
PATNA CALL GIRLS 8617370543 LOW PRICE ESCORT SERVICEPATNA CALL GIRLS 8617370543 LOW PRICE ESCORT SERVICE
PATNA CALL GIRLS 8617370543 LOW PRICE ESCORT SERVICE
 
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptxPSYCHOSOCIAL NEEDS. in nursing II sem pptx
PSYCHOSOCIAL NEEDS. in nursing II sem pptx
 

LSQ: The Linked SPARQL Queries Dataset

  • 1. LSQ: The Linked SPARQL Queries Dataset Muhammad Saleem1 Intizar Ali 2 Aidan Hogan 3 Qaiser Mehmood2 Axel Ngonga 1 1AKSW, University of Leipzig, Germany 2INSIGHT, NUIG, Ireland 3DCC, Universidad de Chile International Semantic Web Conference, Bethlehem, USA, 2015 Saleem et al. (AKSW) LSQ ISWC 2015 1 / 11
  • 2. LSQ: The Linked SPARQL Queries Dataset Linked Dataset of SPARQL queries extracted from endpoint logs DBpedia (232 million triples) 30/04/2010–20/07/2010 Linked Geo Data (1 billion triples) 24/11/2010–06/07/2011 Semantic Web Dog Food (300 thousand triples) 16/05/2014–12/11/2014 British Museum (1.4 million triples) 08/11/2014–01/12/2014 Saleem et al. (AKSW) LSQ ISWC 2015 2 / 11
  • 3. LSQ Data Model Saleem et al. (AKSW) LSQ ISWC 2015 3 / 11
  • 4. LSQ Statistics Saleem et al. (AKSW) LSQ ISWC 2015 4 / 11
  • 5. LSQ Statistics Saleem et al. (AKSW) LSQ ISWC 2015 5 / 11
  • 6. LSQ Statistics Saleem et al. (AKSW) LSQ ISWC 2015 6 / 11
  • 7. LSQ Statistics Saleem et al. (AKSW) LSQ ISWC 2015 7 / 11
  • 8. LSQ Statistics Saleem et al. (AKSW) LSQ ISWC 2015 8 / 11
  • 9. LSQ Statistics 90% of the agents issues fewer than 3% queries Saleem et al. (AKSW) LSQ ISWC 2015 9 / 11
  • 11. Conclusion and Future Work First Linked Dataset of real-world SPARQL queries 5.7 million query executions, 73 million triples 90% of the agents issues fewer than 3% queries LSQ is available from (http://aksw.github.io/LSQ/) Add more logs, e.g., Bioportal, Strabon Update current logs (esp. DBpedia) Link to the benchmark generation framework FEASIBLE (http://feasible.aksw.org/) Saleem et al. (AKSW) LSQ ISWC 2015 11 / 11