Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Truth discovery with multiple conflicting information providers on the web
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Relation extraction from wikipedia using subtree mining
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
Querying for provenance, trust, uncertainty and other meta knowledge in RDF
Web Semantics: Science, Services and Agents on the World Wide Web
Unsupervised relation extraction by mining Wikipedia texts using information from the web
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
On Provenance of Queries on Semantic Web Data
IEEE Internet Computing
Proceedings of the 20th international conference companion on World wide web
DBpedia spotlight: shedding light on the web of documents
Proceedings of the 7th International Conference on Semantic Systems
Interactive reasoning in uncertain RDF knowledge bases
Proceedings of the 20th ACM international conference on Information and knowledge management
Making better informed trust decisions with generalized fact-finding
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Trustworthiness analysis of web search results
ECDL'07 Proceedings of the 11th European conference on Research and Advanced Technology for Digital Libraries
Extracting multilingual natural-language patterns for RDF predicates
EKAW'12 Proceedings of the 18th international conference on Knowledge Engineering and Knowledge Management
Sorry, i don't speak SPARQL: translating SPARQL queries into natural language
Proceedings of the 22nd international conference on World Wide Web
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One of the main tasks when creating and maintaining knowledge bases is to validate facts and provide sources for them in order to ensure correctness and traceability of the provided knowledge. So far, this task is often addressed by human curators in a three-step process: issuing appropriate keyword queries for the statement to check using standard search engines, retrieving potentially relevant documents and screening those documents for relevant content. The drawbacks of this process are manifold. Most importantly, it is very time-consuming as the experts have to carry out several search processes and must often read several documents. In this article, we present DeFacto (Deep Fact Validation) --- an algorithm for validating facts by finding trustworthy sources for it on the Web. DeFacto aims to provide an effective way of validating facts by supplying the user with relevant excerpts of webpages as well as useful additional information including a score for the confidence DeFacto has in the correctness of the input fact.