�ݺ�ߣshows by User: kkyzir

�ݺ�ߣshows by User: kkyzir / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: kkyzir / Tue, 02 Jun 2015 12:34:06 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: kkyzir ESWC2015 - Tutorial on Publishing and Interlinking Linked Geospatial Data /slideshow/eswc2015-tutorial-on-publishing-and-interlinking-linked-geospatial-data/48888535 eswc2015-tutorial-geo-150602123406-lva1-app6892
In this tutorial we present the life cycle of linked geospatial data and we focus on two important steps: the publication of geospatial data as RDF graphs and interlinking them with each other. Given the proliferation of geospatial information on the Web many kinds of geospatial data are now becoming available as linked datasets (e.g., Google and Bing maps, user-generated geospatial content, public sector information published as open data etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, transformation of data into RDF graphs, interlinking linked data etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it. In this tutorial we give a comprehensive background on data models, query languages, implemented systems for linked geospatial data, and we discuss recent approaches on publishing and interlinking geospatial data. The tutorial is complemented with a hands-on session that will familiarize the audience with the state-of-the-art tools in publishing and interlinking geospatial information. http://event.cwi.nl/eswc2015-geo/]]>
In this tutorial we present the life cycle of linked geospatial data and we focus on two important steps: the publication of geospatial data as RDF graphs and interlinking them with each other. Given the proliferation of geospatial information on the Web many kinds of geospatial data are now becoming available as linked datasets (e.g., Google and Bing maps, user-generated geospatial content, public sector information published as open data etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, transformation of data into RDF graphs, interlinking linked data etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it. In this tutorial we give a comprehensive background on data models, query languages, implemented systems for linked geospatial data, and we discuss recent approaches on publishing and interlinking geospatial data. The tutorial is complemented with a hands-on session that will familiarize the audience with the state-of-the-art tools in publishing and interlinking geospatial information. http://event.cwi.nl/eswc2015-geo/]]> Tue, 02 Jun 2015 12:34:06 GMT /slideshow/eswc2015-tutorial-on-publishing-and-interlinking-linked-geospatial-data/48888535 kkyzir@slideshare.net(kkyzir) ESWC2015 - Tutorial on Publishing and Interlinking Linked Geospatial Data kkyzir In this tutorial we present the life cycle of linked geospatial data and we focus on two important steps: the publication of geospatial data as RDF graphs and interlinking them with each other. Given the proliferation of geospatial information on the Web many kinds of geospatial data are now becoming available as linked datasets (e.g., Google and Bing maps, user-generated geospatial content, public sector information published as open data etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, transformation of data into RDF graphs, interlinking linked data etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it. In this tutorial we give a comprehensive background on data models, query languages, implemented systems for linked geospatial data, and we discuss recent approaches on publishing and interlinking geospatial data. The tutorial is complemented with a hands-on session that will familiarize the audience with the state-of-the-art tools in publishing and interlinking geospatial information. http://event.cwi.nl/eswc2015-geo/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/eswc2015-tutorial-geo-150602123406-lva1-app6892-thumbnail.jpg?width=120&height=120&fit=bounds" /> In this tutorial we present the life cycle of linked geospatial data and we focus on two important steps: the publication of geospatial data as RDF graphs and interlinking them with each other. Given the proliferation of geospatial information on the Web many kinds of geospatial data are now becoming available as linked datasets (e.g., Google and Bing maps, user-generated geospatial content, public sector information published as open data etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, transformation of data into RDF graphs, interlinking linked data etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it. In this tutorial we give a comprehensive background on data models, query languages, implemented systems for linked geospatial data, and we discuss recent approaches on publishing and interlinking geospatial data. The tutorial is complemented with a hands-on session that will familiarize the audience with the state-of-the-art tools in publishing and interlinking geospatial information. http://event.cwi.nl/eswc2015-geo/

ESWC2015 - Tutorial on Publishing and Interlinking Linked Geospatial Data from Kostis Kyzirakos

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0 The spatiotemporal RDF store Strabon /slideshow/strabon-the-worlds-most/32707154 edf2014-strabon-140325071905-phpapp01
Presentation of the spatiotemporal RDF store Strabon at the Linked Data Europe Workshop, co-located with the European Data Forum in Athens, Greece (21 March 2014)]]>
Presentation of the spatiotemporal RDF store Strabon at the Linked Data Europe Workshop, co-located with the European Data Forum in Athens, Greece (21 March 2014)]]> Tue, 25 Mar 2014 07:19:05 GMT /slideshow/strabon-the-worlds-most/32707154 kkyzir@slideshare.net(kkyzir) The spatiotemporal RDF store Strabon kkyzir Presentation of the spatiotemporal RDF store Strabon at the Linked Data Europe Workshop, co-located with the European Data Forum in Athens, Greece (21 March 2014) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/edf2014-strabon-140325071905-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of the spatiotemporal RDF store Strabon at the Linked Data Europe Workshop, co-located with the European Data Forum in Athens, Greece (21 March 2014)

The spatiotemporal RDF store Strabon from Kostis Kyzirakos

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0 Linked Earth Observation Data:The Projects TELEIOS and LEO /slideshow/linking-geospatial-data-2014/31933756 teleios-leo-140305044403-phpapp02
Linking Geospatial Data 2014]]>
Linking Geospatial Data 2014]]> Wed, 05 Mar 2014 04:44:03 GMT /slideshow/linking-geospatial-data-2014/31933756 kkyzir@slideshare.net(kkyzir) Linked Earth Observation Data:The Projects TELEIOS and LEO kkyzir Linking Geospatial Data 2014 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/teleios-leo-140305044403-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Linking Geospatial Data 2014

Linked Earth Observation Data:The Projects TELEIOS and LEO from Kostis Kyzirakos

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0 Geographica: A Benchmark for Geospatial RDF Stores - ISWC 2013 /slideshow/geographica-a-benchmark-iswc-2013/27476368 geographica-iswc-131022234254-phpapp01
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]]> Tue, 22 Oct 2013 23:42:54 GMT /slideshow/geographica-a-benchmark-iswc-2013/27476368 kkyzir@slideshare.net(kkyzir) Geographica: A Benchmark for Geospatial RDF Stores - ISWC 2013 kkyzir <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geographica-iswc-131022234254-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Geographica: A Benchmark for Geospatial RDF Stores - ISWC 2013 from Kostis Kyzirakos

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0 Geographica: A Benchmark for Geospatial RDF Stores /slideshow/geographica-a-benchmark-for-geospatial-rdf-stores/23896155 geographica-presentation-final-130704022848-phpapp01
Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the offered functionality and the performance of some prominent geospatial RDF stores. ]]>
Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the offered functionality and the performance of some prominent geospatial RDF stores. ]]> Thu, 04 Jul 2013 02:28:48 GMT /slideshow/geographica-a-benchmark-for-geospatial-rdf-stores/23896155 kkyzir@slideshare.net(kkyzir) Geographica: A Benchmark for Geospatial RDF Stores kkyzir Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the o�ffered functionality and the performance of some prominent geospatial RDF stores. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/geographica-presentation-final-130704022848-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used benchmark for evaluating geospatial RDF stores which takes into account recent advances to the state of the art in this area. In this paper, we develop a benchmark, called Geographica, which uses both real-world and synthetic data to test the o�ffered functionality and the performance of some prominent geospatial RDF stores.

Geographica: A Benchmark for Geospatial RDF Stores from Kostis Kyzirakos

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0 Modeling and Querying Metadata in the Semantic Sensor Web: stRDF and stSPARQL /slideshow/modeling-and-querying-metadata-in-the-semantic-sensor-web-strdf-and-stsparql/22508566 stsparql-130605162433-phpapp01
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]]> Wed, 05 Jun 2013 16:24:33 GMT /slideshow/modeling-and-querying-metadata-in-the-semantic-sensor-web-strdf-and-stsparql/22508566 kkyzir@slideshare.net(kkyzir) Modeling and Querying Metadata in the Semantic Sensor Web: stRDF and stSPARQL kkyzir <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/stsparql-130605162433-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Modeling and Querying Metadata in the Semantic Sensor Web: stRDF and stSPARQL from Kostis Kyzirakos

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0 Building Scalable Semantic Geospatial RDF Stores /slideshow/building-scalable-semantic-geospatial-rdf-stores/22508530 dagstuhl-presentation-130605162318-phpapp02
Dagstuhl ]]>
Dagstuhl ]]> Wed, 05 Jun 2013 16:23:17 GMT /slideshow/building-scalable-semantic-geospatial-rdf-stores/22508530 kkyzir@slideshare.net(kkyzir) Building Scalable Semantic Geospatial RDF Stores kkyzir Dagstuhl <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dagstuhl-presentation-130605162318-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dagstuhl

Building Scalable Semantic Geospatial RDF Stores from Kostis Kyzirakos

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0 Data Models and Query Languages for Linked Geospatial Data /slideshow/data-models-and-query-languages-for-linked-geospatial-data-22508272/22508272 rw-130605161316-phpapp02
Tutorial at Reasoning Web Summery School]]>
Tutorial at Reasoning Web Summery School]]> Wed, 05 Jun 2013 16:13:16 GMT /slideshow/data-models-and-query-languages-for-linked-geospatial-data-22508272/22508272 kkyzir@slideshare.net(kkyzir) Data Models and Query Languages for Linked Geospatial Data kkyzir Tutorial at Reasoning Web Summery School <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/rw-130605161316-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Tutorial at Reasoning Web Summery School

Data Models and Query Languages for Linked Geospatial Data from Kostis Kyzirakos

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0 Data Models and Query Languages for Linked Geospatial Data /slideshow/data-models-and-query-languages-for-linked-geospatial-data/22508226 data-models-query-languages-linked-geospatial-data-130605161010-phpapp02
Data Models and Query Languages for Linked Geospatial Data]]>
Data Models and Query Languages for Linked Geospatial Data]]> Wed, 05 Jun 2013 16:10:10 GMT /slideshow/data-models-and-query-languages-for-linked-geospatial-data/22508226 kkyzir@slideshare.net(kkyzir) Data Models and Query Languages for Linked Geospatial Data kkyzir Data Models and Query Languages for Linked Geospatial Data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-models-query-languages-linked-geospatial-data-130605161010-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Data Models and Query Languages for Linked Geospatial Data

Data Models and Query Languages for Linked Geospatial Data from Kostis Kyzirakos

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0 Representing and Querying Geospatial Information in the Semantic Web /slideshow/representing-and-querying-geospatial-information-in-the-semantic-web/22508087 kyzirakos-ibm-130605160601-phpapp02
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]]> Wed, 05 Jun 2013 16:06:01 GMT /slideshow/representing-and-querying-geospatial-information-in-the-semantic-web/22508087 kkyzir@slideshare.net(kkyzir) Representing and Querying Geospatial Information in the Semantic Web kkyzir <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kyzirakos-ibm-130605160601-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Representing and Querying Geospatial Information in the Semantic Web from Kostis Kyzirakos

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0 Strabon: A Semantic Geospatial Database System /kkyzir/kyzirakos kyzirakos-130415052736-phpapp01
We present a new version of the data model stRDF and the query language stSPARQL for the representation and querying of geospatial data. The new versions of stRDF and stSPARQL use OGC standards to represent geometries where the original version of stSPARQL used linear constraints. In this sense stSPARQL is a subset of the recent standard GeoSPARQL proposed by OGC. We discuss the implementation of the system Strabon which is a storage and query evaluation module for stRDF/stSPARQL and the corresponding subset of GeoSPARQL. We study the performance of Strabon experimentally and show that it scales to very large data volumes. ]]>
We present a new version of the data model stRDF and the query language stSPARQL for the representation and querying of geospatial data. The new versions of stRDF and stSPARQL use OGC standards to represent geometries where the original version of stSPARQL used linear constraints. In this sense stSPARQL is a subset of the recent standard GeoSPARQL proposed by OGC. We discuss the implementation of the system Strabon which is a storage and query evaluation module for stRDF/stSPARQL and the corresponding subset of GeoSPARQL. We study the performance of Strabon experimentally and show that it scales to very large data volumes. ]]> Mon, 15 Apr 2013 05:27:36 GMT /kkyzir/kyzirakos kkyzir@slideshare.net(kkyzir) Strabon: A Semantic Geospatial Database System kkyzir We present a new version of the data model stRDF and the query language stSPARQL for the representation and querying of geospatial data. The new versions of stRDF and stSPARQL use OGC standards to represent geometries where the original version of stSPARQL used linear constraints. In this sense stSPARQL is a subset of the recent standard GeoSPARQL proposed by OGC. We discuss the implementation of the system Strabon which is a storage and query evaluation module for stRDF/stSPARQL and the corresponding subset of GeoSPARQL. We study the performance of Strabon experimentally and show that it scales to very large data volumes. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/kyzirakos-130415052736-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> We present a new version of the data model stRDF and the query language stSPARQL for the representation and querying of geospatial data. The new versions of stRDF and stSPARQL use OGC standards to represent geometries where the original version of stSPARQL used linear constraints. In this sense stSPARQL is a subset of the recent standard GeoSPARQL proposed by OGC. We discuss the implementation of the system Strabon which is a storage and query evaluation module for stRDF/stSPARQL and the corresponding subset of GeoSPARQL. We study the performance of Strabon experimentally and show that it scales to very large data volumes.

Strabon: A Semantic Geospatial Database System from Kostis Kyzirakos

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0 https://cdn.slidesharecdn.com/profile-photo-kkyzir-48x48.jpg?cb=1682070748 www.di.uoa.gr/~kkyzir https://cdn.slidesharecdn.com/ss_thumbnails/eswc2015-tutorial-geo-150602123406-lva1-app6892-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/eswc2015-tutorial-on-publishing-and-interlinking-linked-geospatial-data/48888535 ESWC2015 - Tutorial on... https://cdn.slidesharecdn.com/ss_thumbnails/edf2014-strabon-140325071905-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/strabon-the-worlds-most/32707154 The spatiotemporal RDF... https://cdn.slidesharecdn.com/ss_thumbnails/teleios-leo-140305044403-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/linking-geospatial-data-2014/31933756 Linked Earth Observati...