Q2. What is the name of the article?
183.1 WordNet . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21 3.2 Wikipedia . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
YAGO: A Large Ontology from Wikipedia and WordNet
TLDR
YAGO is a large ontology with high coverage and precision, based on a clean logical model with a decidable consistency that allows representing n-ary relations in a natural way while maintaining compatibility with RDFS.About:
This article is published in Journal of Web Semantics.The article was published on 2008-09-01 and is currently open access. It has received 912 citations till now. The article focuses on the topics: WordNet & Ontology (information science).read more
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Journal ArticleDOI
DBpedia - A crystallization point for the Web of Data
Christian Bizer,Jens Lehmann,Georgi Kobilarov,Sören Auer,Christian Becker,Richard Cyganiak,Sebastian Hellmann +6 more
TL;DR: The extraction of the DBpedia knowledge base is described, the current status of interlinking DBpedia with other data sources on the Web is discussed, and an overview of applications that facilitate the Web of Data around DBpedia is given.
Proceedings Article
Open information extraction from the web
TL;DR: Open Information Extraction (OIE) as mentioned in this paper is a new extraction paradigm where the system makes a single data-driven pass over its corpus and extracts a large set of relational tuples without requiring any human input.
Journal ArticleDOI
BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network
TL;DR: An automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network, key to this approach is the integration of lexicographic and encyclopedic knowledge from WordNet and Wikipedia.
Journal ArticleDOI
YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia
TL;DR: YAGO2 as mentioned in this paper is an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space, and it contains 447 million facts about 9.8 million entities.
Proceedings Article
YAGO3: A Knowledge Base from Multilingual Wikipedias
TL;DR: This work fuses the multilingual information with the English WordNet to build one coherent knowledge base that combines the information from the Wikipedias in multiple languages, and enlarges YAGO by 1m new entities and 7m new facts.
References
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Book
Artificial Intelligence: A Modern Approach
Stuart Russell,Peter Norvig +1 more
TL;DR: In this article, the authors present a comprehensive introduction to the theory and practice of artificial intelligence for modern applications, including game playing, planning and acting, and reinforcement learning with neural networks.
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The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
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The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Journal ArticleDOI
WordNet : an electronic lexical database
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
Journal ArticleDOI
Authoritative sources in a hyperlinked environment
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