Semantic Web and Big Data meets Applied Ontology
- Autores
- Obrst, Leo; Gruninger, Michael; Baclawski, Ken; Bennett, Mike; Brickley, Dan; Berg Cross, Gary; Hitzler, Pascal; Janowicz, Krzysztof; Kapp, Christine; Kutz, Oliver; Lange, Christoph; Levenchuk, Anatoly; Quattri, Francesca; Rector, Alan; Schneider, Todd; Spero, Simon; Thessen, Anne; Vegetti, Maria Marcela; Vizedom, Amanda; Westerinen, Andrea; West, Matthew; Yim, Peter
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The role that ontologies play or can play in designing and employing semantic technologies has been widely acknowledged by the Semantic Web and Linked Data communities. But the level of collaboration between these communities and the Applied Ontology community has been much less than expected. And ontologies and ontological techniques appear to be of marginal use in Big Data and its applications. To understand this situation and foster greater collaboration, Ontology Summit 2014 brought together representatives from the Semantic Web, Linked Data, Big Data and Applied Ontology communities, to address three basic problems involving applied ontology and these communities: (1) The role of ontologies [in these communities], (2) Current uses of ontologies in these communities, and (3) Engineering of ontologies and semantic integration. The intent was to identify and understand: (a) causes and challenges (e.g. scalability) that hinder reuse of ontologies in SW and LD, (b) solutions that can reduce the differences between ontologies on and off line, and (c) solutions to overcome engineering bottlenecks in current Semantic Web and Big Data applications. Over the past four months, presentations from, and discussions with, representatives of the Semantic Web, Linked Data, and Applied Ontology communities have taken place across four tracks. Each Track focused on different aspects of this year?s Summit topic: (Track A) Investigation of sharable and reusable ontologies; (Track B) Tools, services and techniques for a comprehensive and effective use of ontologies; (Track C) Investigation of the engineering bottlenecks and the ways to prevent and overcome them; (Track D) Enquiry on the variety problem in Big Data. In addition to the four Tracks? activities there was a Hackathon. Six different Hackathon projects took place, all available at their individual project public repositories. An online Community Library and an online Ontology Repository have been created as freely accessible Community resources. This Ontology Summit 2014 Communique presents a summary of the results, original in its attempt both to merge different communities? discourses and to achieve consensus across the Summit participants with respect to open problems and recommendations to address them.
Fil: Obrst, Leo. The MITRE Corporation; Estados Unidos
Fil: Gruninger, Michael. University Of Toronto; Canadá
Fil: Baclawski, Ken. Northeastern University; Estados Unidos
Fil: Bennett, Mike. Hypercube Ltd.; Reino Unido
Fil: Brickley, Dan. Google; Reino Unido
Fil: Berg Cross, Gary. Knowledge Strategies; Estados Unidos
Fil: Hitzler, Pascal. Wright State University; Estados Unidos
Fil: Janowicz, Krzysztof. University of California; Estados Unidos
Fil: Kapp, Christine. Hypercube Ltd; Estados Unidos
Fil: Kutz, Oliver. Otto von Guericke University Magdeburg; Alemania
Fil: Lange, Christoph. University of Bonn; Alemania
Fil: Levenchuk, Anatoly. TechInvestLab.ru; Rusia
Fil: Quattri, Francesca. The Hong Kong Polytechnic University; Hong Kong
Fil: Rector, Alan. University Of Manchester; Reino Unido
Fil: Schneider, Todd. PDS, Inc.; Estados Unidos
Fil: Spero, Simon. University Of North Carolina; Estados Unidos
Fil: Thessen, Anne. Arizona State University; Estados Unidos
Fil: Vegetti, Maria Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina
Fil: Vizedom, Amanda. Criticollab; Estados Unidos
Fil: Westerinen, Andrea. Nine Points Solutions; Estados Unidos
Fil: West, Matthew. Information Junction; Reino Unido
Fil: Yim, Peter. CIM Engineering, Inc.; Estados Unidos - Materia
-
Applied Ontology
Semantic Web
Linked Data
Big Data Ontology Community Collaboration - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/6964
Ver los metadatos del registro completo
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Semantic Web and Big Data meets Applied OntologyObrst, LeoGruninger, MichaelBaclawski, KenBennett, MikeBrickley, DanBerg Cross, GaryHitzler, PascalJanowicz, KrzysztofKapp, ChristineKutz, OliverLange, ChristophLevenchuk, AnatolyQuattri, FrancescaRector, AlanSchneider, ToddSpero, SimonThessen, AnneVegetti, Maria MarcelaVizedom, AmandaWesterinen, AndreaWest, MatthewYim, PeterApplied OntologySemantic WebLinked DataBig Data Ontology Community Collaborationhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2The role that ontologies play or can play in designing and employing semantic technologies has been widely acknowledged by the Semantic Web and Linked Data communities. But the level of collaboration between these communities and the Applied Ontology community has been much less than expected. And ontologies and ontological techniques appear to be of marginal use in Big Data and its applications. To understand this situation and foster greater collaboration, Ontology Summit 2014 brought together representatives from the Semantic Web, Linked Data, Big Data and Applied Ontology communities, to address three basic problems involving applied ontology and these communities: (1) The role of ontologies [in these communities], (2) Current uses of ontologies in these communities, and (3) Engineering of ontologies and semantic integration. The intent was to identify and understand: (a) causes and challenges (e.g. scalability) that hinder reuse of ontologies in SW and LD, (b) solutions that can reduce the differences between ontologies on and off line, and (c) solutions to overcome engineering bottlenecks in current Semantic Web and Big Data applications. Over the past four months, presentations from, and discussions with, representatives of the Semantic Web, Linked Data, and Applied Ontology communities have taken place across four tracks. Each Track focused on different aspects of this year?s Summit topic: (Track A) Investigation of sharable and reusable ontologies; (Track B) Tools, services and techniques for a comprehensive and effective use of ontologies; (Track C) Investigation of the engineering bottlenecks and the ways to prevent and overcome them; (Track D) Enquiry on the variety problem in Big Data. In addition to the four Tracks? activities there was a Hackathon. Six different Hackathon projects took place, all available at their individual project public repositories. An online Community Library and an online Ontology Repository have been created as freely accessible Community resources. This Ontology Summit 2014 Communique presents a summary of the results, original in its attempt both to merge different communities? discourses and to achieve consensus across the Summit participants with respect to open problems and recommendations to address them.Fil: Obrst, Leo. The MITRE Corporation; Estados UnidosFil: Gruninger, Michael. University Of Toronto; CanadáFil: Baclawski, Ken. Northeastern University; Estados UnidosFil: Bennett, Mike. Hypercube Ltd.; Reino UnidoFil: Brickley, Dan. Google; Reino UnidoFil: Berg Cross, Gary. Knowledge Strategies; Estados UnidosFil: Hitzler, Pascal. Wright State University; Estados UnidosFil: Janowicz, Krzysztof. University of California; Estados UnidosFil: Kapp, Christine. Hypercube Ltd; Estados UnidosFil: Kutz, Oliver. Otto von Guericke University Magdeburg; AlemaniaFil: Lange, Christoph. University of Bonn; AlemaniaFil: Levenchuk, Anatoly. TechInvestLab.ru; RusiaFil: Quattri, Francesca. The Hong Kong Polytechnic University; Hong KongFil: Rector, Alan. University Of Manchester; Reino UnidoFil: Schneider, Todd. PDS, Inc.; Estados UnidosFil: Spero, Simon. University Of North Carolina; Estados UnidosFil: Thessen, Anne. Arizona State University; Estados UnidosFil: Vegetti, Maria Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); ArgentinaFil: Vizedom, Amanda. Criticollab; Estados UnidosFil: Westerinen, Andrea. Nine Points Solutions; Estados UnidosFil: West, Matthew. Information Junction; Reino UnidoFil: Yim, Peter. CIM Engineering, Inc.; Estados UnidosIOS Press2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/6964Obrst, Leo; Gruninger, Michael; Baclawski, Ken; Bennett, Mike; Brickley, Dan; et al.; Semantic Web and Big Data meets Applied Ontology; IOS Press; Applied Ontology; 9; 2; 8-2014; 155-1701570-5838enginfo:eu-repo/semantics/altIdentifier/url/http://content.iospress.com/articles/applied-ontology/ao135info:eu-repo/semantics/altIdentifier/doi/10.3233/AO-140135info:eu-repo/semantics/altIdentifier/doi/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:04Zoai:ri.conicet.gov.ar:11336/6964instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:50:04.847CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Semantic Web and Big Data meets Applied Ontology |
title |
Semantic Web and Big Data meets Applied Ontology |
spellingShingle |
Semantic Web and Big Data meets Applied Ontology Obrst, Leo Applied Ontology Semantic Web Linked Data Big Data Ontology Community Collaboration |
title_short |
Semantic Web and Big Data meets Applied Ontology |
title_full |
Semantic Web and Big Data meets Applied Ontology |
title_fullStr |
Semantic Web and Big Data meets Applied Ontology |
title_full_unstemmed |
Semantic Web and Big Data meets Applied Ontology |
title_sort |
Semantic Web and Big Data meets Applied Ontology |
dc.creator.none.fl_str_mv |
Obrst, Leo Gruninger, Michael Baclawski, Ken Bennett, Mike Brickley, Dan Berg Cross, Gary Hitzler, Pascal Janowicz, Krzysztof Kapp, Christine Kutz, Oliver Lange, Christoph Levenchuk, Anatoly Quattri, Francesca Rector, Alan Schneider, Todd Spero, Simon Thessen, Anne Vegetti, Maria Marcela Vizedom, Amanda Westerinen, Andrea West, Matthew Yim, Peter |
author |
Obrst, Leo |
author_facet |
Obrst, Leo Gruninger, Michael Baclawski, Ken Bennett, Mike Brickley, Dan Berg Cross, Gary Hitzler, Pascal Janowicz, Krzysztof Kapp, Christine Kutz, Oliver Lange, Christoph Levenchuk, Anatoly Quattri, Francesca Rector, Alan Schneider, Todd Spero, Simon Thessen, Anne Vegetti, Maria Marcela Vizedom, Amanda Westerinen, Andrea West, Matthew Yim, Peter |
author_role |
author |
author2 |
Gruninger, Michael Baclawski, Ken Bennett, Mike Brickley, Dan Berg Cross, Gary Hitzler, Pascal Janowicz, Krzysztof Kapp, Christine Kutz, Oliver Lange, Christoph Levenchuk, Anatoly Quattri, Francesca Rector, Alan Schneider, Todd Spero, Simon Thessen, Anne Vegetti, Maria Marcela Vizedom, Amanda Westerinen, Andrea West, Matthew Yim, Peter |
author2_role |
author author author author author author author author author author author author author author author author author author author author author |
dc.subject.none.fl_str_mv |
Applied Ontology Semantic Web Linked Data Big Data Ontology Community Collaboration |
topic |
Applied Ontology Semantic Web Linked Data Big Data Ontology Community Collaboration |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 https://purl.org/becyt/ford/2.11 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
The role that ontologies play or can play in designing and employing semantic technologies has been widely acknowledged by the Semantic Web and Linked Data communities. But the level of collaboration between these communities and the Applied Ontology community has been much less than expected. And ontologies and ontological techniques appear to be of marginal use in Big Data and its applications. To understand this situation and foster greater collaboration, Ontology Summit 2014 brought together representatives from the Semantic Web, Linked Data, Big Data and Applied Ontology communities, to address three basic problems involving applied ontology and these communities: (1) The role of ontologies [in these communities], (2) Current uses of ontologies in these communities, and (3) Engineering of ontologies and semantic integration. The intent was to identify and understand: (a) causes and challenges (e.g. scalability) that hinder reuse of ontologies in SW and LD, (b) solutions that can reduce the differences between ontologies on and off line, and (c) solutions to overcome engineering bottlenecks in current Semantic Web and Big Data applications. Over the past four months, presentations from, and discussions with, representatives of the Semantic Web, Linked Data, and Applied Ontology communities have taken place across four tracks. Each Track focused on different aspects of this year?s Summit topic: (Track A) Investigation of sharable and reusable ontologies; (Track B) Tools, services and techniques for a comprehensive and effective use of ontologies; (Track C) Investigation of the engineering bottlenecks and the ways to prevent and overcome them; (Track D) Enquiry on the variety problem in Big Data. In addition to the four Tracks? activities there was a Hackathon. Six different Hackathon projects took place, all available at their individual project public repositories. An online Community Library and an online Ontology Repository have been created as freely accessible Community resources. This Ontology Summit 2014 Communique presents a summary of the results, original in its attempt both to merge different communities? discourses and to achieve consensus across the Summit participants with respect to open problems and recommendations to address them. Fil: Obrst, Leo. The MITRE Corporation; Estados Unidos Fil: Gruninger, Michael. University Of Toronto; Canadá Fil: Baclawski, Ken. Northeastern University; Estados Unidos Fil: Bennett, Mike. Hypercube Ltd.; Reino Unido Fil: Brickley, Dan. Google; Reino Unido Fil: Berg Cross, Gary. Knowledge Strategies; Estados Unidos Fil: Hitzler, Pascal. Wright State University; Estados Unidos Fil: Janowicz, Krzysztof. University of California; Estados Unidos Fil: Kapp, Christine. Hypercube Ltd; Estados Unidos Fil: Kutz, Oliver. Otto von Guericke University Magdeburg; Alemania Fil: Lange, Christoph. University of Bonn; Alemania Fil: Levenchuk, Anatoly. TechInvestLab.ru; Rusia Fil: Quattri, Francesca. The Hong Kong Polytechnic University; Hong Kong Fil: Rector, Alan. University Of Manchester; Reino Unido Fil: Schneider, Todd. PDS, Inc.; Estados Unidos Fil: Spero, Simon. University Of North Carolina; Estados Unidos Fil: Thessen, Anne. Arizona State University; Estados Unidos Fil: Vegetti, Maria Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo y Diseño (i); Argentina Fil: Vizedom, Amanda. Criticollab; Estados Unidos Fil: Westerinen, Andrea. Nine Points Solutions; Estados Unidos Fil: West, Matthew. Information Junction; Reino Unido Fil: Yim, Peter. CIM Engineering, Inc.; Estados Unidos |
description |
The role that ontologies play or can play in designing and employing semantic technologies has been widely acknowledged by the Semantic Web and Linked Data communities. But the level of collaboration between these communities and the Applied Ontology community has been much less than expected. And ontologies and ontological techniques appear to be of marginal use in Big Data and its applications. To understand this situation and foster greater collaboration, Ontology Summit 2014 brought together representatives from the Semantic Web, Linked Data, Big Data and Applied Ontology communities, to address three basic problems involving applied ontology and these communities: (1) The role of ontologies [in these communities], (2) Current uses of ontologies in these communities, and (3) Engineering of ontologies and semantic integration. The intent was to identify and understand: (a) causes and challenges (e.g. scalability) that hinder reuse of ontologies in SW and LD, (b) solutions that can reduce the differences between ontologies on and off line, and (c) solutions to overcome engineering bottlenecks in current Semantic Web and Big Data applications. Over the past four months, presentations from, and discussions with, representatives of the Semantic Web, Linked Data, and Applied Ontology communities have taken place across four tracks. Each Track focused on different aspects of this year?s Summit topic: (Track A) Investigation of sharable and reusable ontologies; (Track B) Tools, services and techniques for a comprehensive and effective use of ontologies; (Track C) Investigation of the engineering bottlenecks and the ways to prevent and overcome them; (Track D) Enquiry on the variety problem in Big Data. In addition to the four Tracks? activities there was a Hackathon. Six different Hackathon projects took place, all available at their individual project public repositories. An online Community Library and an online Ontology Repository have been created as freely accessible Community resources. This Ontology Summit 2014 Communique presents a summary of the results, original in its attempt both to merge different communities? discourses and to achieve consensus across the Summit participants with respect to open problems and recommendations to address them. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/6964 Obrst, Leo; Gruninger, Michael; Baclawski, Ken; Bennett, Mike; Brickley, Dan; et al.; Semantic Web and Big Data meets Applied Ontology; IOS Press; Applied Ontology; 9; 2; 8-2014; 155-170 1570-5838 |
url |
http://hdl.handle.net/11336/6964 |
identifier_str_mv |
Obrst, Leo; Gruninger, Michael; Baclawski, Ken; Bennett, Mike; Brickley, Dan; et al.; Semantic Web and Big Data meets Applied Ontology; IOS Press; Applied Ontology; 9; 2; 8-2014; 155-170 1570-5838 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://content.iospress.com/articles/applied-ontology/ao135 info:eu-repo/semantics/altIdentifier/doi/10.3233/AO-140135 info:eu-repo/semantics/altIdentifier/doi/ |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
IOS Press |
publisher.none.fl_str_mv |
IOS Press |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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score |
13.13397 |