YAGO: A Large Ontology from Wikipedia and WordNet

By Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum. Journal of Web Semantics, 2008

447 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/302882085086648b05cf961e91cd759ae6a925a0

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Citations in the corpus

An open-source toolkit for mining Wikipedia (2013, background): “Dbpedia [1], Freebase [2], Yago [26], BabelNet [24] and Menta [5] are all large-scale ontologies that have been either partially or fully derived from Wikipedia.”
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing (2012, methodology): “Automatic information extraction is the topic of many models and demos (Snow et al., 2006; Yates et al., 2007; Wu and Weld, 2010; Suchanek et al., 2008) but none of them relies on a joint embedding model.”
Aligning Cross-Lingual Entities with Multi-Aspect Information (2019, background): “In the future, we would like to apply our methods to other multilingual datasets such as YAGO and BabelNet.”
YAGO: A Multilingual Knowledge Base from Wikipedia, Wordnet, and Geonames (2016, methodology): “Most notably, the facts are checked for compliance with the type signatures of the relations [2,11,12,15,23].”
Machine Reading: A "Killer App" for Statistical Relational AI (2010, methodology): “More recently, machine learning approaches have been developed (e.g., Snow et al. (2006), Cimiano (2006), Suchanek et al. (2008,2009), Wu & Weld (2008)), but they are still limited in several aspects.”
A Survey on Application of Knowledge Graph (2020, background): “Nowadays, “Knowledge Graph” is also referring to semantic web knowledge bases such as DBpedia [4], YAGO [5], Wikidata or Freebase [6].”
Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks (2018, background): “In multilingual KGs such as DBpedia and YAGO, the cross-lingual links in them can be used to build the sets of pre-aligned entity pairs.”
DBpedia - A crystallization point for the Web of Data (2009, unknown): “Details of the mapping algorithm are described in [19].”
Fonduer: Knowledge Base Construction from Richly Formatted Data (2017, unknown): “Extensive efforts have been made to build large, high-quality knowledge bases (KBs), such as Freebase [5], YAGO [38], IBM Watson [6, 10], PharmGKB [17], and Google Knowledge Graph [37].”
Learning multilingual named entity recognition from Wikipedia (2013, background): “Since Wikipedia does not have a direct source of entity types, there has been interest in mapping articles to existing ontologies such as WordNet [63,73,57] and Cyc [42], or classifying them into coarser schemes using heuristics [80,6,61] and semi-supervised [83,19,55] or fully supervised modelling ”
YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract (2013, background): “Notable endeavors of this kind include DBpedia [3], KnowItAll [4,5], Omega [6], WikiTaxonomy [7,8], and YAGO [9,10], and meanwhile there are also commercial services such as freebase.”
The RDF-3X engine for scalable management of RDF data (2010, methodology): “Semantic-Web-style ontologies and knowledge bases with millions of facts from Wikipedia and other sources have been created and are available online [4,55,65].”
Knowledge Graphs (2020, unknown): “Refinement mechanisms employed within YAGO include canonicalisation, where each edge and node is mapped to a unique identifier and duplicate elements are removed, and type checking, where nodes that cannot be assigned to a class by deductive or inductive methods are eliminated [506].”
A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal (2022, background): “• YAGO [233], [234] for temporal KGR contains extra time information.”
Evaluating Entity Linking with Wikipedia (2013, methodology): “Accordingly, it has been widely used for knowledge modelling (Suchanek et al., 2008; Bizer et al., 2009; Navigli and Ponzetto, 2010; Ponzetto and Strube, 2011).”
A Cross-Lingual Dictionary for English Wikipedia Concepts (2012, methodology): “2 First-sense heuristics are also (transitively) used in work outside WSD, such as ontology merging — e.g., in YAGO (Suchanek et al., 2008), combining Wikipedia with WordNet (Miller, 1995).”