ºÝºÝߣshows by User: EvangeliaDaskalaki / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: EvangeliaDaskalaki / Wed, 26 Nov 2014 05:11:47 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: EvangeliaDaskalaki ISWC 2014 Tutorial - Instance Matching Benchmarks for Linked Data /slideshow/iswc-2014-tutorial-instance-matching-benchmarks-for-linked-data/42041740 iswc-tutorialpdf-141126051147-conversion-gate01
With the continuously increasing number of datasets published in the Web of Data and form part of the Linked Open Data Cloud, it becomes more and more essential to identify resources that correspond to the same real world object in order to interlink web resources and set the basis for large-scale data integration. This requirement becomes apparent in a multitude of domains ranging from science (marine research, biology, astronomy, pharmacology) to semantic publishing and cultural domains. In this context, instance matching is of crucial importance. It is though essential at this point to develop, along with instance and entity matching systems, benchmarks to determine the weak and strong points of those systems, as well as their overall quality in order to support users in deciding the system to use for their needs. Hence, well defined, and good quality benchmarks are important for comparing the performance of the developed instance matching systems. In this tutorial we aim at: - Discussing the state-of-the-art instance matching benchmarks - Presenting the benchmark design principles - Providing an analysis of the performance results of instance matching systems for the presented benchmarks - Presenting the research directions that should be exploited for the creation of novel benchmarks to answer the needs of the Linked Data paradigm. Please click here for the Tutorial web-page: http://www.ics.forth.gr/isl/BenchmarksTutorial/ ]]>
With the continuously increasing number of datasets published in the Web of Data and form part of the Linked Open Data Cloud, it becomes more and more essential to identify resources that correspond to the same real world object in order to interlink web resources and set the basis for large-scale data integration. This requirement becomes apparent in a multitude of domains ranging from science (marine research, biology, astronomy, pharmacology) to semantic publishing and cultural domains. In this context, instance matching is of crucial importance. It is though essential at this point to develop, along with instance and entity matching systems, benchmarks to determine the weak and strong points of those systems, as well as their overall quality in order to support users in deciding the system to use for their needs. Hence, well defined, and good quality benchmarks are important for comparing the performance of the developed instance matching systems. In this tutorial we aim at: - Discussing the state-of-the-art instance matching benchmarks - Presenting the benchmark design principles - Providing an analysis of the performance results of instance matching systems for the presented benchmarks - Presenting the research directions that should be exploited for the creation of novel benchmarks to answer the needs of the Linked Data paradigm. Please click here for the Tutorial web-page: http://www.ics.forth.gr/isl/BenchmarksTutorial/ ]]> Wed, 26 Nov 2014 05:11:47 GMT /slideshow/iswc-2014-tutorial-instance-matching-benchmarks-for-linked-data/42041740 EvangeliaDaskalaki@slideshare.net(EvangeliaDaskalaki) ISWC 2014 Tutorial - Instance Matching Benchmarks for Linked Data EvangeliaDaskalaki With the continuously increasing number of datasets published in the Web of Data and form part of the Linked Open Data Cloud, it becomes more and more essential to identify resources that correspond to the same real world object in order to interlink web resources and set the basis for large-scale data integration. This requirement becomes apparent in a multitude of domains ranging from science (marine research, biology, astronomy, pharmacology) to semantic publishing and cultural domains. In this context, instance matching is of crucial importance. It is though essential at this point to develop, along with instance and entity matching systems, benchmarks to determine the weak and strong points of those systems, as well as their overall quality in order to support users in deciding the system to use for their needs. Hence, well defined, and good quality benchmarks are important for comparing the performance of the developed instance matching systems. In this tutorial we aim at: - Discussing the state-of-the-art instance matching benchmarks - Presenting the benchmark design principles - Providing an analysis of the performance results of instance matching systems for the presented benchmarks - Presenting the research directions that should be exploited for the creation of novel benchmarks to answer the needs of the Linked Data paradigm. Please click here for the Tutorial web-page: http://www.ics.forth.gr/isl/BenchmarksTutorial/ <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/iswc-tutorialpdf-141126051147-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> With the continuously increasing number of datasets published in the Web of Data and form part of the Linked Open Data Cloud, it becomes more and more essential to identify resources that correspond to the same real world object in order to interlink web resources and set the basis for large-scale data integration. This requirement becomes apparent in a multitude of domains ranging from science (marine research, biology, astronomy, pharmacology) to semantic publishing and cultural domains. In this context, instance matching is of crucial importance. It is though essential at this point to develop, along with instance and entity matching systems, benchmarks to determine the weak and strong points of those systems, as well as their overall quality in order to support users in deciding the system to use for their needs. Hence, well defined, and good quality benchmarks are important for comparing the performance of the developed instance matching systems. In this tutorial we aim at: - Discussing the state-of-the-art instance matching benchmarks - Presenting the benchmark design principles - Providing an analysis of the performance results of instance matching systems for the presented benchmarks - Presenting the research directions that should be exploited for the creation of novel benchmarks to answer the needs of the Linked Data paradigm. Please click here for the Tutorial web-page: http://www.ics.forth.gr/isl/BenchmarksTutorial/
ISWC 2014 Tutorial - Instance Matching Benchmarks for Linked Data from Evangelia Daskalaki
]]> 682 6 https://cdn.slidesharecdn.com/ss_thumbnails/iswc-tutorialpdf-141126051147-conversion-gate01-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 https://cdn.slidesharecdn.com/profile-photo-EvangeliaDaskalaki-48x48.jpg?cb=1584358999 - Information Technology Expert. - Master degree in Information Systems and e-commerce. - Bachelor in Business Administration and Information Technology. Computer skills and competences: Computer Languages: Java EE, Java SE, Javascript, SQL, HTML, XML, XSL, CSS, XPaths, XQueries, RDF, OWL, SPARQL. Modelling Languages: UML, ER, BPML, EPC, BPEL, ISO 25964 –thesauri and interoperability with other vocabularies. Databases: XML DB (Exist), MySQL, Virtuoso, Jena, Oracle TOAD, Geneva. Web Servers & IDE: Apache Tomcat, Glassfish, JBoss, Eclipse (IDE), NetBeans (IDE) Operations Systems: Excellent knowledge of all Windows Operation Systems and Linux Ubuntu Experienced in using the Frameworks ... http://users.ics.forth.gr/~eva/