際際滷shows by User: soeren1611 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: soeren1611 / Fri, 17 Jun 2022 11:02:30 GMT 際際滷Share feed for 際際滷shows by User: soeren1611 Knowledge Graph Research and Innovation Challenges /slideshow/knowledge-graph-research-and-innovation-challenges/252006483 kgchallenges-220617110230-a949a026
Gives an overview on some challenges regarding the combination of machine-learning and knowledge graph technologies and the vision of devising a concept of Cognitive Knowledge Graphs consisting of graphlets instead of mere entity descriptions.]]>
Gives an overview on some challenges regarding the combination of machine-learning and knowledge graph technologies and the vision of devising a concept of Cognitive Knowledge Graphs consisting of graphlets instead of mere entity descriptions.]]> Fri, 17 Jun 2022 11:02:30 GMT /slideshow/knowledge-graph-research-and-innovation-challenges/252006483 soeren1611@slideshare.net(soeren1611) Knowledge Graph Research and Innovation Challenges soeren1611 Gives an overview on some challenges regarding the combination of machine-learning and knowledge graph technologies and the vision of devising a concept of Cognitive Knowledge Graphs consisting of graphlets instead of mere entity descriptions. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kgchallenges-220617110230-a949a026-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Gives an overview on some challenges regarding the combination of machine-learning and knowledge graph technologies and the vision of devising a concept of Cognitive Knowledge Graphs consisting of graphlets instead of mere entity descriptions.
Knowledge Graph Research and Innovation Challenges from Sren Auer
]]> 211 0 https://cdn.slidesharecdn.com/ss_thumbnails/kgchallenges-220617110230-a949a026-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Knowledge Graph Introduction /slideshow/knowledge-graph-introduction/243276421 cognitivedata-210223115650
Overview on Knowledge Graphs research, technology and applications.]]>
Overview on Knowledge Graphs research, technology and applications.]]> Tue, 23 Feb 2021 11:56:49 GMT /slideshow/knowledge-graph-introduction/243276421 soeren1611@slideshare.net(soeren1611) Knowledge Graph Introduction soeren1611 Overview on Knowledge Graphs research, technology and applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cognitivedata-210223115650-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview on Knowledge Graphs research, technology and applications.
Knowledge Graph Introduction from Sren Auer
]]> 986 0 https://cdn.slidesharecdn.com/ss_thumbnails/cognitivedata-210223115650-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Describing Scholarly Contributions semantically with the Open Research Knowledge Graph /slideshow/describing-scholarly-contributions-semantically-with-the-open-research-knowledge-graph/238299028 orkg-200827091238
Describing Scholarly Contributions semantically with the Open Research Knowledge Graph]]>
Describing Scholarly Contributions semantically with the Open Research Knowledge Graph]]> Thu, 27 Aug 2020 09:12:38 GMT /slideshow/describing-scholarly-contributions-semantically-with-the-open-research-knowledge-graph/238299028 soeren1611@slideshare.net(soeren1611) Describing Scholarly Contributions semantically with the Open Research Knowledge Graph soeren1611 Describing Scholarly Contributions semantically with the Open Research Knowledge Graph <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/orkg-200827091238-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Describing Scholarly Contributions semantically with the Open Research Knowledge Graph
Describing Scholarly Contributions semantically with the Open Research Knowledge Graph from Sren Auer
]]> 270 0 https://cdn.slidesharecdn.com/ss_thumbnails/orkg-200827091238-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communications /slideshow/towards-knowledge-graph-based-representation-augmentation-and-exploration-of-scholarly-communications/149035613 digitalscience-190607095046
Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. We need to represent, analyse, augment and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration to reach an unprecedented level of knowledge graph breadth and depth. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. The efficiency and effectiveness of scholarly communication will significant increase, since ambiguities are reduced, reproducibility is facilitated, redundancy is avoided, provenance and contributions can be better traced and the interconnections of research contributions are made more explicit and transparent. In this talk we will present first steps in this direction in the context of our Open Research Knowledge Graph initiative and the ScienceGRAPH project.]]>
Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. We need to represent, analyse, augment and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration to reach an unprecedented level of knowledge graph breadth and depth. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. The efficiency and effectiveness of scholarly communication will significant increase, since ambiguities are reduced, reproducibility is facilitated, redundancy is avoided, provenance and contributions can be better traced and the interconnections of research contributions are made more explicit and transparent. In this talk we will present first steps in this direction in the context of our Open Research Knowledge Graph initiative and the ScienceGRAPH project.]]> Fri, 07 Jun 2019 09:50:46 GMT /slideshow/towards-knowledge-graph-based-representation-augmentation-and-exploration-of-scholarly-communications/149035613 soeren1611@slideshare.net(soeren1611) Towards Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communications soeren1611 Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. We need to represent, analyse, augment and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration to reach an unprecedented level of knowledge graph breadth and depth. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. The efficiency and effectiveness of scholarly communication will significant increase, since ambiguities are reduced, reproducibility is facilitated, redundancy is avoided, provenance and contributions can be better traced and the interconnections of research contributions are made more explicit and transparent. In this talk we will present first steps in this direction in the context of our Open Research Knowledge Graph initiative and the ScienceGRAPH project. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/digitalscience-190607095046-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Despite an improved digital access to scientific publications in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. The document-oriented workflows in science have reached the limits of adequacy as highlighted by recent discussions on the increasing proliferation of scientific literature, the deficiency of peer-review and the reproducibility crisis. We need to represent, analyse, augment and exploit scholarly communication in a knowledge-based way by expressing and linking scientific contributions and related artefacts through semantically rich, interlinked knowledge graphs. This should be based on deep semantic representation of scientific contributions, their manual, crowd-sourced and automatic augmentation and finally the intuitive exploration and interaction employing question answering on the resulting scientific knowledge base. We need to synergistically combine automated extraction and augmentation techniques, with large-scale collaboration to reach an unprecedented level of knowledge graph breadth and depth. As a result, knowledge-based information flows can facilitate completely new ways of search and exploration. The efficiency and effectiveness of scholarly communication will significant increase, since ambiguities are reduced, reproducibility is facilitated, redundancy is avoided, provenance and contributions can be better traced and the interconnections of research contributions are made more explicit and transparent. In this talk we will present first steps in this direction in the context of our Open Research Knowledge Graph initiative and the ScienceGRAPH project.
Towards Knowledge Graph based Representation, Augmentation and Exploration of Scholarly Communications from Sren Auer
]]> 1558 5 https://cdn.slidesharecdn.com/ss_thumbnails/digitalscience-190607095046-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Cognitive data /slideshow/cognitive-data-122104948/122104948 cognitivedata-181106123737
際際滷s of my talk at OSLCfest in Stockholm Nov 6, 2019 Video recording of the talk is available here: https://www.facebook.com/oslcfest/videos/2261640397437958/]]>
際際滷s of my talk at OSLCfest in Stockholm Nov 6, 2019 Video recording of the talk is available here: https://www.facebook.com/oslcfest/videos/2261640397437958/]]> Tue, 06 Nov 2018 12:37:37 GMT /slideshow/cognitive-data-122104948/122104948 soeren1611@slideshare.net(soeren1611) Cognitive data soeren1611 際際滷s of my talk at OSLCfest in Stockholm Nov 6, 2019 Video recording of the talk is available here: https://www.facebook.com/oslcfest/videos/2261640397437958/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cognitivedata-181106123737-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s of my talk at OSLCfest in Stockholm Nov 6, 2019 Video recording of the talk is available here: https://www.facebook.com/oslcfest/videos/2261640397437958/
Cognitive data from Sren Auer
]]> 1867 3 https://cdn.slidesharecdn.com/ss_thumbnails/cognitivedata-181106123737-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards an Open Research Knowledge Graph /slideshow/towards-an-open-research-knowledge-graph/101566393 towardsorkg-striped-180609151059
The document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Now it is possible to rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the creation and evolution of information models for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. Also research results become directly comparable and easier to reuse.]]>
The document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Now it is possible to rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the creation and evolution of information models for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. Also research results become directly comparable and easier to reuse.]]> Sat, 09 Jun 2018 15:10:59 GMT /slideshow/towards-an-open-research-knowledge-graph/101566393 soeren1611@slideshare.net(soeren1611) Towards an Open Research Knowledge Graph soeren1611 The document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Now it is possible to rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the creation and evolution of information models for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. Also research results become directly comparable and easier to reuse. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/towardsorkg-striped-180609151059-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The document-oriented workflows in science have reached (or already exceeded) the limits of adequacy as highlighted for example by recent discussions on the increasing proliferation of scientific literature and the reproducibility crisis. Now it is possible to rethink this dominant paradigm of document-centered knowledge exchange and transform it into knowledge-based information flows by representing and expressing knowledge through semantically rich, interlinked knowledge graphs. The core of the establishment of knowledge-based information flows is the creation and evolution of information models for the establishment of a common understanding of data and information between the various stakeholders as well as the integration of these technologies into the infrastructure and processes of search and knowledge exchange in the research library of the future. By integrating these information models into existing and new research infrastructure services, the information structures that are currently still implicit and deeply hidden in documents can be made explicit and directly usable. This has the potential to revolutionize scientific work because information and research results can be seamlessly interlinked with each other and better mapped to complex information needs. Also research results become directly comparable and easier to reuse.
Towards an Open Research Knowledge Graph from Sren Auer
]]> 2574 14 https://cdn.slidesharecdn.com/ss_thumbnails/towardsorkg-striped-180609151059-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 DBpedia - 10 year ISWC SWSA best paper award presentation /slideshow/dbpedia-10-year-iswc-swsa-best-paper-award-presentation-81098293/81098293 dbpedia-10yeariswcswsabestpaperawardpresentation-171023111201
Overview presentation on DBpedia Impact in the last 10 years]]>
Overview presentation on DBpedia Impact in the last 10 years]]> Mon, 23 Oct 2017 11:12:01 GMT /slideshow/dbpedia-10-year-iswc-swsa-best-paper-award-presentation-81098293/81098293 soeren1611@slideshare.net(soeren1611) DBpedia - 10 year ISWC SWSA best paper award presentation soeren1611 Overview presentation on DBpedia Impact in the last 10 years <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dbpedia-10yeariswcswsabestpaperawardpresentation-171023111201-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Overview presentation on DBpedia Impact in the last 10 years
DBpedia - 10 year ISWC SWSA best paper award presentation from Sren Auer
]]> 1842 5 https://cdn.slidesharecdn.com/ss_thumbnails/dbpedia-10yeariswcswsabestpaperawardpresentation-171023111201-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Enterprise knowledge graphs /slideshow/enterprise-knowledge-graphs/66007184 enterpriseknowledgegraphs-160914081433
Presentation from Semantics 2016]]>
Presentation from Semantics 2016]]> Wed, 14 Sep 2016 08:14:32 GMT /slideshow/enterprise-knowledge-graphs/66007184 soeren1611@slideshare.net(soeren1611) Enterprise knowledge graphs soeren1611 Presentation from Semantics 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/enterpriseknowledgegraphs-160914081433-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation from Semantics 2016
Enterprise knowledge graphs from Sren Auer
]]> 3885 13 https://cdn.slidesharecdn.com/ss_thumbnails/enterpriseknowledgegraphs-160914081433-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Towards digitizing scholarly communication /soeren1611/towards-digitizing-scholarly-communication towardsdigitizingscholarlycommunication-160818165519
際際滷s of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication.]]>
際際滷s of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication.]]> Thu, 18 Aug 2016 16:55:19 GMT /soeren1611/towards-digitizing-scholarly-communication soeren1611@slideshare.net(soeren1611) Towards digitizing scholarly communication soeren1611 際際滷s of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/towardsdigitizingscholarlycommunication-160818165519-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s of the VIVO 2016 Conference keynote: Despite the availability of ubiquitous connectivity and information technology, scholarly communication has not changed much in the last hundred years: research findings are still encoded in and decoded from linear, static articles and the possibilities of digitization are rarely used. In this talk, we will discuss strategies for digitizing scholarly communication. This comprises in particular: the use of machine-readable, dynamic content; the description and interlinking of research artifacts using Linked Data; the crowd-sourcing of multilingual educational and learning content. We discuss the relation of these developments to research information systems and how they could become part of an open ecosystem for scholarly communication.
Towards digitizing scholarly communication from Sren Auer
]]> 1940 9 https://cdn.slidesharecdn.com/ss_thumbnails/towardsdigitizingscholarlycommunication-160818165519-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Project overview big data europe /soeren1611/project-overview-big-data-europe projectoverviewbigdataeurope-150521145629-lva1-app6891
Big Data Europe, Linked Data]]>
Big Data Europe, Linked Data]]> Thu, 21 May 2015 14:56:29 GMT /soeren1611/project-overview-big-data-europe soeren1611@slideshare.net(soeren1611) Project overview big data europe soeren1611 Big Data Europe, Linked Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/projectoverviewbigdataeurope-150521145629-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Big Data Europe, Linked Data
Project overview big data europe from Sren Auer
]]> 4630 9 https://cdn.slidesharecdn.com/ss_thumbnails/projectoverviewbigdataeurope-150521145629-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 LDOW2015 Position Talk and Discussion /slideshow/ldow-position-talk-and-discussion-soeren/48337787 ldowpositiontalkanddiscussion-soeren-150519142136-lva1-app6892
際際滷s of S旦ren's LDOW2015 Position Talk and Discussion]]>
際際滷s of S旦ren's LDOW2015 Position Talk and Discussion]]> Tue, 19 May 2015 14:21:36 GMT /slideshow/ldow-position-talk-and-discussion-soeren/48337787 soeren1611@slideshare.net(soeren1611) LDOW2015 Position Talk and Discussion soeren1611 際際滷s of S旦ren's LDOW2015 Position Talk and Discussion <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ldowpositiontalkanddiscussion-soeren-150519142136-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s of S旦ren&#39;s LDOW2015 Position Talk and Discussion
LDOW2015 Position Talk and Discussion from Sren Auer
]]> 1486 1 https://cdn.slidesharecdn.com/ss_thumbnails/ldowpositiontalkanddiscussion-soeren-150519142136-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Linked data for Enterprise Data Integration /slideshow/linked-data-for-enterprise-data-integration/28963440 linkeddataforenterprisedataintegration-131206083117-phpapp01
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.]]>
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.]]> Fri, 06 Dec 2013 08:31:17 GMT /slideshow/linked-data-for-enterprise-data-integration/28963440 soeren1611@slideshare.net(soeren1611) Linked data for Enterprise Data Integration soeren1611 The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linkeddataforenterprisedataintegration-131206083117-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
Linked data for Enterprise Data Integration from Sren Auer
]]> 3898 8 https://cdn.slidesharecdn.com/ss_thumbnails/linkeddataforenterprisedataintegration-131206083117-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 What can linked data do for digital libraries /slideshow/what-can-linked-data-do-for-digital-libraries/26530638 whatcanlinkeddatadofordigitallibraries-130925043617-phpapp02
The slides for the keynote on Linked Data and Digital Libraries I gave at TPDL2013 on Sep 25 2013 in Valetta, Malta.]]>
The slides for the keynote on Linked Data and Digital Libraries I gave at TPDL2013 on Sep 25 2013 in Valetta, Malta.]]> Wed, 25 Sep 2013 04:36:17 GMT /slideshow/what-can-linked-data-do-for-digital-libraries/26530638 soeren1611@slideshare.net(soeren1611) What can linked data do for digital libraries soeren1611 The slides for the keynote on Linked Data and Digital Libraries I gave at TPDL2013 on Sep 25 2013 in Valetta, Malta. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/whatcanlinkeddatadofordigitallibraries-130925043617-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The slides for the keynote on Linked Data and Digital Libraries I gave at TPDL2013 on Sep 25 2013 in Valetta, Malta.
What can linked data do for digital libraries from Sren Auer
]]> 6580 11 https://cdn.slidesharecdn.com/ss_thumbnails/whatcanlinkeddatadofordigitallibraries-130925043617-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Open data for smart cities /soeren1611/open-data-for-smart-cities opendataforsmartcities-130916235359-phpapp02
]]>
]]> Mon, 16 Sep 2013 23:53:59 GMT /soeren1611/open-data-for-smart-cities soeren1611@slideshare.net(soeren1611) Open data for smart cities soeren1611 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/opendataforsmartcities-130916235359-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Open data for smart cities from Sren Auer
]]> 4731 6 https://cdn.slidesharecdn.com/ss_thumbnails/opendataforsmartcities-130916235359-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 The web of interlinked data and knowledge stripped /slideshow/the-web-of-interlinked-data-and-knowledge-stripped/20633691 thewebofinterlinkeddataandknowledge-stripped-130506014942-phpapp02
]]>
]]> Mon, 06 May 2013 01:49:42 GMT /slideshow/the-web-of-interlinked-data-and-knowledge-stripped/20633691 soeren1611@slideshare.net(soeren1611) The web of interlinked data and knowledge stripped soeren1611 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thewebofinterlinkeddataandknowledge-stripped-130506014942-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
The web of interlinked data and knowledge stripped from Sren Auer
]]> 1798 6 https://cdn.slidesharecdn.com/ss_thumbnails/thewebofinterlinkeddataandknowledge-stripped-130506014942-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 仂亠从 于仂仂ﾐ経 LOD2 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆 /slideshow/lod2-odi-ru/13338300 lod2odi-ru-120615074535-phpapp02
仂亠从 于仂仂ﾐ経 LOD2 弌仂亰亟舒仆亳亠 亰仆舒仆亳亶 亳亰 于磶舒仆仆 亟舒仆仆 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆.]]>
仂亠从 于仂仂ﾐ経 LOD2 弌仂亰亟舒仆亳亠 亰仆舒仆亳亶 亳亰 于磶舒仆仆 亟舒仆仆 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆.]]> Fri, 15 Jun 2012 07:45:34 GMT /slideshow/lod2-odi-ru/13338300 soeren1611@slideshare.net(soeren1611) 仂亠从 于仂仂ﾐ経 LOD2 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆 soeren1611 鐃緒申鐃出仂亠从 于仂仂ﾐ経 LOD2 弌仂亰亟舒仆亳亠 亰仆舒仆亳亶 亳亰 于磶舒仆仆 亟舒仆仆 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lod2odi-ru-120615074535-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 鐃緒申鐃出仂亠从 于仂仂ﾐ経 LOD2 弌仂亰亟舒仆亳亠 亰仆舒仆亳亶 亳亰 于磶舒仆仆 亟舒仆仆 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆.
仂亠从 于仂仂ﾐ経 LOD2 亳 亳舒仆从亳亶 仆亳 从 亟舒仆仆 from S旦ren Auer
]]> 1309 3 https://cdn.slidesharecdn.com/ss_thumbnails/lod2odi-ru-120615074535-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to the Data Web, DBpedia and the Life-cycle of Linked Data /slideshow/introduction-to-the-data-web-dbpedia-and-the-lifecycle-of-linked-data/9582625 lodintro-111006175339-phpapp01
Over the past 4 years, the Semantic Web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges of computer science: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This tutorial will discuss approaches for tackling these challenges. As an example of a successful Linked Data project we will present DBpedia, which leverages Wikipedia by extracting structured information and by making this information freely accessible on the Web. The tutorial will also outline some recent advances in DBpedia, such as the mappings Wiki, DBpedia Live as well as the recently launched DBpedia benchmark. ]]>
Over the past 4 years, the Semantic Web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges of computer science: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This tutorial will discuss approaches for tackling these challenges. As an example of a successful Linked Data project we will present DBpedia, which leverages Wikipedia by extracting structured information and by making this information freely accessible on the Web. The tutorial will also outline some recent advances in DBpedia, such as the mappings Wiki, DBpedia Live as well as the recently launched DBpedia benchmark. ]]> Thu, 06 Oct 2011 17:53:37 GMT /slideshow/introduction-to-the-data-web-dbpedia-and-the-lifecycle-of-linked-data/9582625 soeren1611@slideshare.net(soeren1611) Introduction to the Data Web, DBpedia and the Life-cycle of Linked Data soeren1611 Over the past 4 years, the Semantic Web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges of computer science: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This tutorial will discuss approaches for tackling these challenges. As an example of a successful Linked Data project we will present DBpedia, which leverages Wikipedia by extracting structured information and by making this information freely accessible on the Web. The tutorial will also outline some recent advances in DBpedia, such as the mappings Wiki, DBpedia Live as well as the recently launched DBpedia benchmark. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lodintro-111006175339-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Over the past 4 years, the Semantic Web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges of computer science: the exploitation of the Web as a platform for data and information integration. To translate this initial success into a world-scale reality, a number of research challenges need to be addressed: the performance gap between relational and RDF data management has to be closed, coherence and quality of data published on the Web have to be improved, provenance and trust on the Linked Data Web must be established and generally the entrance barrier for data publishers and users has to be lowered. This tutorial will discuss approaches for tackling these challenges. As an example of a successful Linked Data project we will present DBpedia, which leverages Wikipedia by extracting structured information and by making this information freely accessible on the Web. The tutorial will also outline some recent advances in DBpedia, such as the mappings Wiki, DBpedia Live as well as the recently launched DBpedia benchmark.
Introduction to the Data Web, DBpedia and the Life-cycle of Linked Data from Sren Auer
]]> 6259 15 https://cdn.slidesharecdn.com/ss_thumbnails/lodintro-111006175339-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Das Semantische Daten Web f端r Unternehmen /slideshow/das-semantische-daten-web-fr-unternehmen/9214456 linkeddata-110911120812-phpapp02
]]>
]]> Sun, 11 Sep 2011 12:08:09 GMT /slideshow/das-semantische-daten-web-fr-unternehmen/9214456 soeren1611@slideshare.net(soeren1611) Das Semantische Daten Web f端r Unternehmen soeren1611 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-110911120812-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Das Semantische Daten Web f腴r Unternehmen from Sren Auer
]]> 2427 3 https://cdn.slidesharecdn.com/ss_thumbnails/linkeddata-110911120812-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Creating knowledge out of interlinked data /slideshow/creating-knowledge-out-of-interlinked-data/8144002 creatingknowledgeoutofinterlinkeddata-110529155410-phpapp02
]]>
]]> Sun, 29 May 2011 15:54:05 GMT /slideshow/creating-knowledge-out-of-interlinked-data/8144002 soeren1611@slideshare.net(soeren1611) Creating knowledge out of interlinked data soeren1611 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/creatingknowledgeoutofinterlinkeddata-110529155410-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Creating knowledge out of interlinked data from Sren Auer
]]> 1390 7 https://cdn.slidesharecdn.com/ss_thumbnails/creatingknowledgeoutofinterlinkeddata-110529155410-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 From Open Linked Data towards an Ecosystem of Interlinked Knowledge /slideshow/from-open-linked-data-towards-an-ecosystem-of-interlinked-knowledge/5966036 vonoffenendatenzueinemkosystemvernetztenwissens-101129083311-phpapp02
]]>
]]> Mon, 29 Nov 2010 08:33:00 GMT /slideshow/from-open-linked-data-towards-an-ecosystem-of-interlinked-knowledge/5966036 soeren1611@slideshare.net(soeren1611) From Open Linked Data towards an Ecosystem of Interlinked Knowledge soeren1611 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/vonoffenendatenzueinemkosystemvernetztenwissens-101129083311-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
From Open Linked Data towards an Ecosystem of Interlinked Knowledge from Sren Auer
]]> 1254 9 https://cdn.slidesharecdn.com/ss_thumbnails/vonoffenendatenzueinemkosystemvernetztenwissens-101129083311-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-soeren1611-48x48.jpg?cb=1655463694 R&D generalist with special focus on next generation web and semantic technologies. Interest in academic work as well as advising cooperations on developing and employing innovative R&D solutions. Specialties: R&D management, innovation incubation, commercialization of research results www.tib.eu https://cdn.slidesharecdn.com/ss_thumbnails/kgchallenges-220617110230-a949a026-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/knowledge-graph-research-and-innovation-challenges/252006483 Knowledge Graph Resear... https://cdn.slidesharecdn.com/ss_thumbnails/cognitivedata-210223115650-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/knowledge-graph-introduction/243276421 Knowledge Graph Introd... https://cdn.slidesharecdn.com/ss_thumbnails/orkg-200827091238-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/describing-scholarly-contributions-semantically-with-the-open-research-knowledge-graph/238299028 Describing Scholarly C...