This webinar in the course of the LOD2EU-funded (FP7) research project aiming to take the Web of Linked Data to the next level. Main research challenges: improve coherence and quality of data published on the Web, close the performance gap between relational and RDF data management, establish trust on the Linked Data Web and ... webinar series will present DBpedia Spotlight
DBpediaDBpedia is a project aiming to extract structured information from the information created as part of the Wikipedia project. This structured information is then made available on the World Wide Web. DBpedia allows users to query relationships and properties associated with Wikipedia resources, ... Spotlight is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. DBpedia Spotlight recognizes that names of concepts or entities have been mentioned (e.g. “Michael Jordan”), and subsequently matches these names to unique identifiers (e.g. dbpedia:Michael_I._Jordan, the machine learning professor or dbpedia:Michael_Jordan, the basketball player). Besides common entity classes such as People, Locations and Organisations, DBpedia Spotlight also spots concepts from any of the 320 classes in the DBpedia Ontology, an ontology is a formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts. It is used to reason about the entities within that domain, and may be used to describe the domain. In theory, an ontology is a "formal, explicit ....
DBpedia Spotlight is a tool employed in the Extraction stage of the LOD Life Cycle, performing Entity Recognition and Linking. Although the tool currently specializes in English language, the support for other languages is currently being tested, and demos for German, Dutch and others are available or underway. The tool can be used to enable faceted browsing, semantic search, among other applications. In this webinar we will describe what is DBpedia Spotlight, how it works and how can you benefit from it in your application. as a part within the LOD2 stack.
If you are interested in Linked (Open) Data principles and mechanisms, LOD tools & services and concrete use cases that can be realised using LOD then join us in the free LOD2 webinar series!
When: Tuesday, February 26, 2013, 4:00 PM – 5:00 PM CET
Presenter: Pablo Mendes, BerlinBerlin is the capital city of Germany and is one of the 16 states of Germany. With a population of 3.45 million people, Berlin is Germany's largest city. It is the second most populous city proper and the seventh most populous urban area in the European Union. Located in northeastern Germany, it ...
Information & free Registration: https://www4.gotomeeting.com/register/313934895
The LOD2 team is looking forward to meeting you at the webinar!!
The LOD2 webinar series is powered by LOD2 – Creating Knowledge out of Interlinked Data (http://lod2.eu), organised & produced by Semantic Web CompanyThe Semantic Web Company (SWC), based in Vienna, provides companies, institutions and organizations with professional services related to the Semantic Web, semantic technologies and Social Software (http://www.semantic-web.at), Austria. This series will provide a monthly webinar about Linked (Open) Data tools and services around the LOD2 project, the LOD2 Stack and the Linked Open Data Life Cycle, also in the form of 3rd party tools. Please find continuously updated information here: http://lod2.eu/BlogPost/webinar-series
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text, providing a solution for linking unstructured information sources to the Linked Open Data cloud through DBpedia. DBpedia Spotlight recognizes that names of concepts or entities have been mentioned (e.g. “Michael Jordan”), and subsequently matches these names to unique identifiers (e.g. dbpedia:Michael_I._Jordan, the
machine learningMachine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of ... professor or dbpedia:Michael_Jordan, the basketball player). Besides common entity classes such as People, Locations and Organisations, DBpedia Spotlight also spots concepts from any of the 320 classes in the DBpedia Ontology.
DBpedia Spotlight is a tool employed in the Extraction stage of the LOD Life Cycle, performing Entity Recognition and Linking. Although the tool currently specializes in English language, the support for other languages is currently being tested, and demos for German, Dutch and others are available or underway. The tool can be used to enable faceted browsing, semantic search, among other applications. In this webinar we will describe what is DBpedia Spotlight, how it works and how can you benefit from it in your application.
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