max planck institut
informatik
informatik
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The YAGO-NAGA project started in 2006 with the goal of building a conveniently searchable, large-scale, highly accurate knowledge base of common facts in a machine-processible representation. We have already harvested knowledge about millions of entities and facts about their relationships, from Wikipedia and WordNet with careful integration of these two sources. The resulting knowledge base, coined YAGO, has very high precision and is freely available. The facts are represented as RDF triples, and we have developed methods and prototype systems for querying, ranking, and exploring knowledge. Our search engine NAGA provides ranked answers to queries based on statistical models. Several interlinked sub-projects are growing on the YAGO-NAGA basis. Our vision is a confluence of Semantic Web (Ontologies), Social Web (Web 2.0), and Statistical Web (Information Extraction) assets towards a comprehensive repository of human knowledge. Our methodologies combine concepts, models, and algorithms from several fields, including database systems, information retrieval, statistical learning, and logical reasoning. |
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YAGO is a huge semantic knowledge base, derived from Wikipedia and WordNet. YAGO knows more than 2 million entities (e.g. persons, organizations, cities), and 20 million facts about these entities. Unlike many other automatically assembled knowledge bases, YAGO has a manually confirmed accuracy of 95%.
NAGA is a new semantic search engine supporting keyword search for the casual user as well as graph queries with regular expressions for the expert user.
SOFIE extracts information from Web sources.
An extension of SOFIE for large scale information extraction
LEILA was the predecessor of SOFIE.
RDF-3X is an RDF storage and retrieval system that achieves excellent performance by following a RISC-style design philosophy.
ANGIE is an active knowledge system for interactive exploration.
UWN is a multilingual version of WordNet, describing meanings of words in different languages and their relationships.
Gathering and ranking photos of named entities with high precision, high recall, and diversity.
The Javatools are a suite of Java classes for a variety of small tasks, such as parsing, database interaction or file handling. They are used in the YAGO-NAGA project and available for download as well.