ºÝºÝߣshows by User: thkurz1 / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: thkurz1 / Wed, 12 Oct 2016 11:58:13 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: thkurz1 Suche ein effizientes Mittel zur Datenintegration https://de.slideshare.net/slideshow/suche-ein-effizientes-mittel-zur-datenintegration/67058308 pasdasvortrag2016-sucheeineffizientesmittelzurdatenintegration-161012115814
Diese Folien zeigen, wie wir Open Source Technologien einsetzen um intelligente Suchen auf heterogenen Daten aufbauen und damit ein leichtgewichtige Datenintegration erreichen.]]>
Diese Folien zeigen, wie wir Open Source Technologien einsetzen um intelligente Suchen auf heterogenen Daten aufbauen und damit ein leichtgewichtige Datenintegration erreichen.]]> Wed, 12 Oct 2016 11:58:13 GMT https://de.slideshare.net/slideshow/suche-ein-effizientes-mittel-zur-datenintegration/67058308 thkurz1@slideshare.net(thkurz1) Suche ein effizientes Mittel zur Datenintegration thkurz1 Diese Folien zeigen, wie wir Open Source Technologien einsetzen um intelligente Suchen auf heterogenen Daten aufbauen und damit ein leichtgewichtige Datenintegration erreichen. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pasdasvortrag2016-sucheeineffizientesmittelzurdatenintegration-161012115814-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Diese Folien zeigen, wie wir Open Source Technologien einsetzen um intelligente Suchen auf heterogenen Daten aufbauen und damit ein leichtgewichtige Datenintegration erreichen.
from Thomas Kurz
]]> 250 5 https://cdn.slidesharecdn.com/ss_thumbnails/pasdasvortrag2016-sucheeineffizientesmittelzurdatenintegration-161012115814-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 MICO — Towards Contextual Media Analysis /slideshow/mico-towards-contextual-media-analysis/48289465 www2015-limews-mico-towardscontextualmediaanalysis-150518154714-lva1-app6892
With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it hard, especially for small and medium-size enterprises, to make use of this technology. Ina addition analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. This paper presents how MICO tries to address these problems by providing an Open Source service platform, that allows to analyse media in context and includes various analysis engines for video, images, audio, text, link structure and metadata.]]>
With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it hard, especially for small and medium-size enterprises, to make use of this technology. Ina addition analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. This paper presents how MICO tries to address these problems by providing an Open Source service platform, that allows to analyse media in context and includes various analysis engines for video, images, audio, text, link structure and metadata.]]> Mon, 18 May 2015 15:47:14 GMT /slideshow/mico-towards-contextual-media-analysis/48289465 thkurz1@slideshare.net(thkurz1) MICO — Towards Contextual Media Analysis thkurz1 With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it hard, especially for small and medium-size enterprises, to make use of this technology. Ina addition analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. This paper presents how MICO tries to address these problems by providing an Open Source service platform, that allows to analyse media in context and includes various analysis engines for video, images, audio, text, link structure and metadata. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/www2015-limews-mico-towardscontextualmediaanalysis-150518154714-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it hard, especially for small and medium-size enterprises, to make use of this technology. Ina addition analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. This paper presents how MICO tries to address these problems by providing an Open Source service platform, that allows to analyse media in context and includes various analysis engines for video, images, audio, text, link structure and metadata.
MICO — Towards Contextual Media Analysis from Thomas Kurz
]]> 2584 4 https://cdn.slidesharecdn.com/ss_thumbnails/www2015-limews-mico-towardscontextualmediaanalysis-150518154714-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 Enabling access to Linked Media with SPARQL-MM /thkurz1/www2015-lime-sparqlmm www2015-lime-sparql-mm-150518153706-lva1-app6891
The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set.]]>
The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set.]]> Mon, 18 May 2015 15:37:06 GMT /thkurz1/www2015-lime-sparqlmm thkurz1@slideshare.net(thkurz1) Enabling access to Linked Media with SPARQL-MM thkurz1 The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/www2015-lime-sparql-mm-150518153706-lva1-app6891-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The amount of audio, video and image data on the web is immensely growing, which leads to data management problems based on the hidden character of multimedia. Therefore the interlinking of semantic concepts and media data with the aim to bridge the gap between the document web and the Web of Data has become a common practice and is known as Linked Media. However, the value of connecting media to its semantic meta data is limited due to lacking access methods specialized for media assets and fragments as well as to the variety of used description models. With SPARQL-MM we extend SPARQL, the standard query language for the Semantic Web with media specific concepts and functions to unify the access to Linked Media. In this paper we describe the motivation for SPARQL-MM, present the State of the Art of Linked Media description formats and Multimedia query languages, and outline the specification and implementation of the SPARQL-MM function set.
Enabling access to Linked Media with SPARQL-MM from Thomas Kurz
]]> 2218 1 https://cdn.slidesharecdn.com/ss_thumbnails/www2015-lime-sparql-mm-150518153706-lva1-app6891-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 Media Management with Apache Marmotta /slideshow/linked-media-management-with-apache-marmotta/41747060 apachemarmotta-apacheconeurope20142-141119045306-conversion-gate01
The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL.]]>
The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL.]]> Wed, 19 Nov 2014 04:53:06 GMT /slideshow/linked-media-management-with-apache-marmotta/41747060 thkurz1@slideshare.net(thkurz1) Linked Media Management with Apache Marmotta thkurz1 The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/apachemarmotta-apacheconeurope20142-141119045306-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The integration of multimedia assets on the web with structured (linked) data promises further opportunities for digital market places regarding findability and recommendations. The new W3C standards for Media Annotation, Media Fragment UIRs and Linked Data Platforms build a stable base for this purpose. Thomas Kurz shows how to use the Linked Data Platform Apache Marmotta as a backend for the storage and retrieval of Linked Media. In his talk he is going to show extensions for a seamless integration of media streaming for Non-RDF resources and spatio-regional media fragment retrieval with SPARQL.
Linked Media Management with Apache Marmotta from Thomas Kurz
]]> 1421 3 https://cdn.slidesharecdn.com/ss_thumbnails/apachemarmotta-apacheconeurope20142-141119045306-conversion-gate01-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 Semantic Media Management with Apache Marmotta /slideshow/semantic-media-managent-with-apache-marmotta/40547424 slides-141021100650-conversion-gate02
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]]> Tue, 21 Oct 2014 10:06:50 GMT /slideshow/semantic-media-managent-with-apache-marmotta/40547424 thkurz1@slideshare.net(thkurz1) Semantic Media Management with Apache Marmotta thkurz1 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slides-141021100650-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Semantic Media Management with Apache Marmotta from Thomas Kurz
]]> 2188 2 https://cdn.slidesharecdn.com/ss_thumbnails/slides-141021100650-conversion-gate02-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 The Redlink way towards a Semantic CMS /slideshow/the-redlink-way-towards-a-semantic-cms/30912141 presentationmodule-140206131713-phpapp01
Redlink opens the door to the world of semantics by providing simple Restful APIs, SDKs and Plugins for the most common use cases. Existing CMS can thus seamlessly integrate semantic technologies. The slides also shows how MM Asset Management Systems can profit from Semantic Lifting.]]>
Redlink opens the door to the world of semantics by providing simple Restful APIs, SDKs and Plugins for the most common use cases. Existing CMS can thus seamlessly integrate semantic technologies. The slides also shows how MM Asset Management Systems can profit from Semantic Lifting.]]> Thu, 06 Feb 2014 13:17:13 GMT /slideshow/the-redlink-way-towards-a-semantic-cms/30912141 thkurz1@slideshare.net(thkurz1) The Redlink way towards a Semantic CMS thkurz1 Redlink opens the door to the world of semantics by providing simple Restful APIs, SDKs and Plugins for the most common use cases. Existing CMS can thus seamlessly integrate semantic technologies. The slides also shows how MM Asset Management Systems can profit from Semantic Lifting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentationmodule-140206131713-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Redlink opens the door to the world of semantics by providing simple Restful APIs, SDKs and Plugins for the most common use cases. Existing CMS can thus seamlessly integrate semantic technologies. The slides also shows how MM Asset Management Systems can profit from Semantic Lifting.
The Redlink way towards a Semantic CMS from Thomas Kurz
]]> 3792 7 https://cdn.slidesharecdn.com/ss_thumbnails/presentationmodule-140206131713-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 https://cdn.slidesharecdn.com/profile-photo-thkurz1-48x48.jpg?cb=1578480667 https://cdn.slidesharecdn.com/ss_thumbnails/pasdasvortrag2016-sucheeineffizientesmittelzurdatenintegration-161012115814-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/suche-ein-effizientes-mittel-zur-datenintegration/67058308 Suche ein effizientes ... https://cdn.slidesharecdn.com/ss_thumbnails/www2015-limews-mico-towardscontextualmediaanalysis-150518154714-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/mico-towards-contextual-media-analysis/48289465 MICO — Towards Context... https://cdn.slidesharecdn.com/ss_thumbnails/www2015-lime-sparql-mm-150518153706-lva1-app6891-thumbnail.jpg?width=320&height=320&fit=bounds thkurz1/www2015-lime-sparqlmm Enabling access to Lin...