Results 1 - 4 of 4

From Information to Knowledge: Harvesting Entities and Relationships from Web Sources

by Gerhard Weikum, Martin Theobald
"... 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-l ..."
Abstract - Cited by 26 (7 self) - Add to MetaCart
-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

Ten Years of Knowledge Harvesting: Lessons and Challenges

by Gerhard Weikum , Johannes Hoffart , Fabian Suchanek , Steve Jobs Cofounded Apple , Steve Jobs , Steve Wozniak , Steve Jobs , Lisa Brennan , Apple Lisa , Lisa Brennan , Steve Jobs , Pancreatic Cancer , Steve Jobs , Bob Dylan
"... Abstract This article is a retrospective on the theme of knowledge harvesting: automatically constructing large highquality knowledge bases from Internet sources. We draw on our experience in the Yago-Naga project over the last decade, but consider other projects as well. The article discusses less ..."
Abstract - Add to MetaCart
Abstract This article is a retrospective on the theme of knowledge harvesting: automatically constructing large highquality knowledge bases from Internet sources. We draw on our experience in the Yago-Naga project over the last decade, but consider other projects as well. The article discusses

Semantic Knowledge Bases from Web Sources Tutorial Proposal for IJCAI 2011 (1 day)

by Fabian M. Suchanek, Martin Theobald, Gerhard Weikum, Hady W. Lauw, Ralf Schenkel, Max Planck
"... Recent advances in scalable information extraction from Web sources has enabled the automatic construction of large knowledge bases, such as DBpedia, EntityCube, KnowItAll, ReadTheWeb, and YAGO-NAGA. In this tutorial, we explain how these knowledge bases are organized, how they are constructed, how ..."
Abstract - Add to MetaCart
construction of large knowledge bases. Recent endeavors of this kind include academic research projects such as DBpedia, EntityCube, KnowItAll, ReadTheWeb, and YAGO-NAGA, as well as industrial ones such as Freebase and Trueknowledge. These projects provide automatically-constructed, large and rich knowledge

Harvesting, Searching, and Ranking Knowledge on the Web [Invited Talk]

by Gerhard Weikum
"... There are major trends to advance the functionality of search engines to a more expressive semantic level (e.g., [2, 4, 6, 7, 8, 9, 13, 14, 18]). This is enabled by employing largescale information extraction [1, 11, 20] of entities and relationships from semistructured as well as natural-language W ..."
Abstract - Add to MetaCart
this objective, with emphasis on our work on the YAGO knowledge base [23, 24] and the NAGA search engine [14] but also covering related projects. YAGO is a large collection of entities and relational facts that are harvested from Wikipedia and WordNet with high accuracy and reconciled into a consistent RDF
Results 1 - 4 of 4