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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/6964

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network_name_str CONICET Digital (CONICET)
spelling 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
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv 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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