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2010
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From information to knowledge: harvesting entities and relationships from web sources

12 years 2 months ago
From information to knowledge: harvesting entities and relationships from web sources
There are major trends to advance the functionality of search engines to a more expressive semantic level. This is enabled by the advent of knowledge-sharing communities such as Wikipedia and the progress in automatically extracting entities and relationships from semistructured as well as natural-language Web sources. Recent endeavors of this kind include DBpedia, EntityCube, KnowItAll, ReadTheWeb, and our own YAGO-NAGA project (and others). The goal is to automatically construct and maintain a comprehensive knowledge base of facts about named entities, their semantic classes, and their mutual relations as well as temporal contexts, with high precision and high recall. This tutorial discusses state-ofthe-art methods, research opportunities, and open challenges along this avenue of knowledge harvesting. Categories and Subject Descriptors
Gerhard Weikum, Martin Theobald
Added 10 Jul 2010
Updated 10 Jul 2010
Type Conference
Year 2010
Where PODS
Authors Gerhard Weikum, Martin Theobald
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