towards a visual sparql dl query builder
play

Towards a Visual SPARQL-DL Query Builder Christian Gimenez 1 an Braun - PowerPoint PPT Presentation

Sep 29, 2023 •716 likes •1.24k views

Towards a Visual SPARQL-DL Query Builder Christian Gimenez 1 an Braun 1 , 3 Laura Cecchi 1 Germ Pablo Fillottrani 2 , 4 1 Universidad Nacional del Comahue 2 Universidad Nacional del Sur 3 Consejo Nacional de Investigaciones Cient ficas y T

  1. Towards a Visual SPARQL-DL Query Builder Christian Gimenez 1 an Braun 1 , 3 Laura Cecchi 1 Germ´ Pablo Fillottrani 2 , 4 1 Universidad Nacional del Comahue 2 Universidad Nacional del Sur 3 Consejo Nacional de Investigaciones Cient´ ıficas y T´ ecnicas (CONICET) 4 Comisi´ on de Investigaciones Cient´ ıficas de la Provincia de Buenos Aires (CIC) XXIV Congreso Argentino de Ciencias de la Computaci´ on Octubre 2018 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 1 / 23

  2. Contents Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 2 / 23

  3. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 3 / 23

  4. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 4 / 23

  5. Objective We have a big ontology. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  6. Objective We have a big ontology. How can we query it?. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  7. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  8. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  9. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Not only data, structure too! Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  10. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Not only data, structure too! It would be awesome if it is a graphical language! Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  11. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Not only data, structure too! It would be awesome if it is a graphical language! Then, we want to: Make queries. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  12. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Not only data, structure too! It would be awesome if it is a graphical language! Then, we want to: Make queries. With great expressivenes. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  13. Objective We have a big ontology. How can we query it?. But OWLlink/DIG is difficult to use! We want to query whatever we want! Not only data, structure too! It would be awesome if it is a graphical language! Then, we want to: Make queries. With great expressivenes. Easy to read, write and understand. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 5 / 23

  14. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 6 / 23

  15. crowd What is crowd ? Web tool for graphical ontology modelling Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 7 / 23

  16. crowd What is crowd ? Web tool for graphical ontology modelling Why crowd ? Web tool. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 7 / 23

  17. crowd What is crowd ? Web tool for graphical ontology modelling Why crowd ? Web tool. Adaptable and expandable. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 7 / 23

  18. crowd What is crowd ? Web tool for graphical ontology modelling Why crowd ? Web tool. Adaptable and expandable. Supports UML as graphical language. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 7 / 23

  19. crowd What is crowd ? Web tool for graphical ontology modelling Why crowd ? Web tool. Adaptable and expandable. Supports UML as graphical language. Berardi et al. encoding to OWL 2 and reasoning support. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 7 / 23

  20. crowd A crowd screeshot Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 8 / 23

  21. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 9 / 23

  22. SPARQL-DL What is SPARQL-DL? A Query Language for OWL-DL ontologies significantly more expressive than existing DL QL. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 10 / 23

  23. SPARQL-DL What is SPARQL-DL? A Query Language for OWL-DL ontologies significantly more expressive than existing DL QL. Why SPARQL-DL? Allows combined ABox, RBox and TBox queries. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 10 / 23

  24. SPARQL-DL What is SPARQL-DL? A Query Language for OWL-DL ontologies significantly more expressive than existing DL QL. Why SPARQL-DL? Allows combined ABox, RBox and TBox queries. Aligned with SPARQL. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 10 / 23

  25. SPARQL-DL What is SPARQL-DL? A Query Language for OWL-DL ontologies significantly more expressive than existing DL QL. Why SPARQL-DL? Allows combined ABox, RBox and TBox queries. Aligned with SPARQL. Can be used on top of OWL-DL reasoners. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 10 / 23

  26. SPARQL-DL What is SPARQL-DL? A Query Language for OWL-DL ontologies significantly more expressive than existing DL QL. Why SPARQL-DL? Allows combined ABox, RBox and TBox queries. Aligned with SPARQL. Can be used on top of OWL-DL reasoners. Example SELECT * WHERE { Class(?x), Class(?y), DirectSubclassOf(?y, ?x) } Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 10 / 23

  27. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 11 / 23

  28. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 12 / 23

  29. UML-like VQL UML-like VQL Let’s define a UML-like Visual Query Language. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 13 / 23

  30. UML-like VQL UML-like VQL Let’s define a UML-like Visual Query Language. crowd has UML support. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 13 / 23

  31. UML-like VQL UML-like VQL Let’s define a UML-like Visual Query Language. crowd has UML support. UML is well-known. Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 13 / 23

  32. UML-like VQL UML-like VQL Let’s define a UML-like Visual Query Language. crowd has UML support. UML is well-known. We allow to use variables as classifier names. For example: ?person Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 13 / 23

  33. UML-like VQL UML-like VQL Let’s define a UML-like Visual Query Language. crowd has UML support. UML is well-known. We allow to use variables as classifier names. For example: ?person UML DL OWL 2 TBox Classes Concepts Classes Associations Roles Object Properties Generalizations Inclusion SubClassOf ABox Objects Instances Individuals /Instances Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 13 / 23

  34. Outline Introduction 1 Objective crowd SPARQL-DL A UML-like Graphical Language for SPARQL-DL 2 UML-like VQL SPARQL-DL Encoding Implementation 3 Example 4 Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 14 / 23

  35. SPARQL-DL Encoding Now we need to encode the UML-like primitives into SPARQL-DL. SELECT * WHERE { Class(?x) } ?x Gimenez, Braun, Cecchi, Fillottrani Towards a Visual SPARQL-DL Query Builder CACIC 2018 15 / 23

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Lecture 3: SPARQL (1.1) Aidan Hogan aidhog@gmail.com PREVIOUSLY First SPARQL (1.0) Then

Lecture 3: SPARQL (1.1) Aidan Hogan aidhog@gmail.com PREVIOUSLY First SPARQL (1.0) Then

Lecture 3: SPARQL (1.1) Aidan Hogan aidhog@gmail.com PREVIOUSLY First SPARQL (1.0) Then SPARQL 1.1 Covered SPARQL 1.0 http://www.w3.org/TR/rdf-sparql-query/ SPARQL: WHERE clause example Query: What solutions would this query return?

1.17k views • 91 slides
This is a Header Using Power Query Builder THIS IS A SUBTITLE Save Time Connecting to D365/CDS

This is a Header Using Power Query Builder THIS IS A SUBTITLE Save Time Connecting to D365/CDS

This is a Header Using Power Query Builder THIS IS A SUBTITLE Save Time Connecting to D365/CDS Data with Power Query Builder swoloshin@pragmaticworks.com Agenda Create a Report Connection in minutes Deeper Dive Why use Power Query Builder

512 views • 15 slides
Introduction to SPARQL Acknowledgements This presentation is based on the W3C Candidate

Introduction to SPARQL Acknowledgements This presentation is based on the W3C Candidate

Introduction to SPARQL Acknowledgements This presentation is based on the W3C Candidate Recommendation SPARQL Query Language for RDF from http://www.w3.org/TR/rdf-sparql-query/ Some of the material in this presentation is

1.2k views • 76 slides
SPARQL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction

SPARQL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction

SPARQL Fausto Giunchiglia and Mattia Fumagallli University of Trento Roadmap Introduction Basic query forms SELECT CONSTRUCT ASK DESCRIBE Other clauses and modifiers SPARQL Federated Query Exercises 2

808 views • 47 slides
The Tractability Frontier of Well-designed SPARQL Queries Miguel Romero (University of Oxford)

The Tractability Frontier of Well-designed SPARQL Queries Miguel Romero (University of Oxford)

The Tractability Frontier of Well-designed SPARQL Queries Miguel Romero (University of Oxford) ACM PODS 2018, 12 June, Houston-USA Well-designed SPARQL SPARQL : standard query language for RDF graphs Well-designed SPARQL (Perez, Arenas, Gutierrez

296 views • 29 slides
A Generic Mapping-based Query Translation A Generic Mapping-based Query Translation from SPARQL

A Generic Mapping-based Query Translation A Generic Mapping-based Query Translation from SPARQL

A Generic Mapping-based Query Translation A Generic Mapping-based Query Translation from SPARQL to Various Target Database Query from SPARQL to Various Target Database Query Languages Languages F. Michel, C. Faron-Zucker, J. Montagnat I3S

668 views • 31 slides
Knowledge Representation VII - IKT507 This sentence is false! SPARQL stands for SPARQL Protocol

Knowledge Representation VII - IKT507 This sentence is false! SPARQL stands for SPARQL Protocol

Knowledge Representation VII - IKT507 This sentence is false! SPARQL stands for SPARQL Protocol And RDF Query Language Jan Pettersen Nytun, UiA 1 S O The Semantic Web Stack P Hierarchy of languages, where each layer exploits and uses

801 views • 19 slides
MCIS/UA PHP Training 2003 Chapter 7b Hands-on Application Development Continued Query Builder

MCIS/UA PHP Training 2003 Chapter 7b Hands-on Application Development Continued Query Builder

MCIS/UA PHP Training 2003 Chapter 7b Hands-on Application Development Continued Query Builder The query builder element was designed to allow clients to perform ad hoc queries. Still under development - expect potential changes in the

470 views • 29 slides
RDF Topics Finish up XML. What is RDF? Why is it interesting? SPARQL: The

RDF Topics Finish up XML. What is RDF? Why is it interesting? SPARQL: The

RDF Topics Finish up XML. What is RDF? Why is it interesting? SPARQL: The query language for querying RDF. Learning Objectives: Identify data management problems for which RDF is a desirable representation. Design

492 views • 19 slides
SPARQL to SQL Translation Based on an Intermediate Query Language Sami Kiminki, Jussi Knuuttila

SPARQL to SQL Translation Based on an Intermediate Query Language Sami Kiminki, Jussi Knuuttila

SPARQL to SQL Translation Based on an Intermediate Query Language Sami Kiminki, Jussi Knuuttila and Vesa Hirvisalo Department of Computer Science and Engineering Aalto University, School of Science and Technology November 8th, 2010

940 views • 64 slides
Querying Linked Data with SPARQL and the Wikidata Query Service Lucas Werkmeister 2019-12-27

Querying Linked Data with SPARQL and the Wikidata Query Service Lucas Werkmeister 2019-12-27

Querying Linked Data with SPARQL and the Wikidata Query Service Lucas Werkmeister 2019-12-27 Lucas Werkmeister https://tinyurl.com/36c3-wdqs 1/20 An example graph happens in is next to Esszimmer is next to Kche is part of happens in

561 views • 41 slides
Linked Data Query Wizard A Novel Interface for Accessing SPARQL Endpoints Patrick Hoefler ,

Linked Data Query Wizard A Novel Interface for Accessing SPARQL Endpoints Patrick Hoefler ,

Linked Data Query Wizard A Novel Interface for Accessing SPARQL Endpoints Patrick Hoefler , Michael Granitzer, Eduardo Veas, Christin Seifert Linked Data on the Web (LDOW) @ WWW 2014 2014-04-08 The presented work has received

608 views • 14 slides
SPARQL Query Language for RDF Motivation RDF, RDF Schema, OWL provide data and meta- data

SPARQL Query Language for RDF Motivation RDF, RDF Schema, OWL provide data and meta- data

SPARQL Query Language for RDF Motivation RDF, RDF Schema, OWL provide data and meta- data meta-data is important graph data is important inference is important How to process this data? SQL, XQuery etc. not a good match to

619 views • 35 slides
Clinical Modules: How to Dr Eleri Clissold Gather your baseline data Run a query Save the

Clinical Modules: How to Dr Eleri Clissold Gather your baseline data Run a query Save the

Clinical Modules: How to Dr Eleri Clissold Gather your baseline data Run a query Save the Query Go to Double builder to Choose Open Tools > click Right Click Open & Export as your Import Medtech Query Query a folder run

722 views • 46 slides
SPARQL 1.1 Peter Fischer DMQL SPARQL 1.0 limitations Limited graphs operations: How to

SPARQL 1.1 Peter Fischer DMQL SPARQL 1.0 limitations Limited graphs operations: How to

SPARQL 1.1 Peter Fischer DMQL SPARQL 1.0 limitations Limited graphs operations: How to compute connectedness? No updates No aggregates No explicit negation No subqueries Property Paths Motivation RDF is a

478 views • 33 slides
C-SPARQL: A Continuous Extension of SPARQL Marco Balduini marco.balduini@polimi.it Share,

C-SPARQL: A Continuous Extension of SPARQL Marco Balduini marco.balduini@polimi.it Share,

Stream Reasoning For Linked Data M. Balduini, J-P Calbimonte, O. Corcho, D. Dell'Aglio, E. Della Valle, and J.Z. Pan http://streamreasoning.org/sr4ld2013 C-SPARQL: A Continuous Extension of SPARQL Marco Balduini marco.balduini@polimi.it

528 views • 38 slides
North Carolina Turnpike Authority Board of Directors Meeting March 5, 2015 North Carolina

North Carolina Turnpike Authority Board of Directors Meeting March 5, 2015 North Carolina

North Carolina Turnpike Authority Board of Directors Meeting March 5, 2015 North Carolina Turnpike Authority Board of Directors Meeting March 5, 2015 Presentation Agenda 2014 4 th Quarter Operations Update Andy Lelewski, P.E. 2014

710 views • 26 slides
#umlibraryscavengerhunt Student Outreach via Social Media during Fall 2017 Background Examples

#umlibraryscavengerhunt Student Outreach via Social Media during Fall 2017 Background Examples

#umlibraryscavengerhunt Student Outreach via Social Media during Fall 2017 Background Examples & Inspiration #selfiesinthestacks Social media scavenger hunt to encourage a first year class to explore the library as a way to alleviate

679 views • 21 slides
An Approach to Clone Detec/on in Behavioral Models Elizabeth P.

An Approach to Clone Detec/on in Behavioral Models Elizabeth P.

An Approach to Clone Detec/on in Behavioral Models Elizabeth P. Antony Manar H. Alalfi James R. Cordy 1 Behavioural Models Behavioural Models Used to represent

831 views • 50 slides
Requirements Capture and Specification Universit` a di Genova, Italy) for Enterprise

Requirements Capture and Specification Universit` a di Genova, Italy) for Enterprise

Requirements Capture and Specification for Enterprise Applications: a UML Based Attempt Christine Choppy (LIPN, Universit e Paris XIII, France) Gianna Reggio (DISI, Requirements Capture and Specification Universit` a di Genova, Italy)

800 views • 58 slides
Presentation Week5 Presented by: Hanan Alnizami Mentor: Tiffany Barnes PhD Supervisor: Evie

Presentation Week5 Presented by: Hanan Alnizami Mentor: Tiffany Barnes PhD Supervisor: Evie

Presentation Week5 Presented by: Hanan Alnizami Mentor: Tiffany Barnes PhD Supervisor: Evie Powell Thursday June 26 ,2008 sdsa Plans for week 5: Storytelling Alice Motivates Middle School Girls to Learn Computer Programming. UML

518 views • 12 slides
OPEN SPACE AND RECREATION PLANS AND GRANT PROGRAMS The whats, whys, and hows What is an Open

OPEN SPACE AND RECREATION PLANS AND GRANT PROGRAMS The whats, whys, and hows What is an Open

OPEN SPACE AND RECREATION PLANS AND GRANT PROGRAMS The whats, whys, and hows What is an Open Space and Recreation Plan (OSRP)? A document that describes a communitys open space and recreation resources It is also a blueprint for

451 views • 15 slides
General Indicator Modeling for Decision Support based on 3D city and landscape models using Model

General Indicator Modeling for Decision Support based on 3D city and landscape models using Model

Lehrstuhl fr Geoinformatik Technische Universitt Mnchen General Indicator Modeling for Decision Support based on 3D city and landscape models using Model Driven Engineering Mostafa Elfouly, Thomas H. Kolbe Chair of Geoinformatics

782 views • 26 slides
Anytime Planning for Web Service Composition via Alternative Plan Merging George Markou &

Anytime Planning for Web Service Composition via Alternative Plan Merging George Markou &

Anytime Planning for Web Service Composition via Alternative Plan Merging George Markou & Ioannis Refanidis Dept. of Applied Informatics, University of Macedonia, Greece ICTAI 2014 - Session A23. Planning Introduction Background

1.51k views • 114 slides

More recommend