Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Decoding wikipedia categories for knowledge acquisition
AAAI'08 Proceedings of the 23rd 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
Distant supervision for relation extraction without labeled data
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
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Multilingual schema matching for Wikipedia infoboxes
Proceedings of the VLDB Endowment
A breakdown of quality flaws in Wikipedia
Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality
Internationalization of Linked Data: The case of the Greek DBpedia edition
Web Semantics: Science, Services and Agents on the World Wide Web
Infobox suggestion for Wikipedia entities
Proceedings of the 21st ACM international conference on Information and knowledge management
Automatic typing of DBpedia entities
ISWC'12 Proceedings of the 11th international conference on The Semantic Web - Volume Part I
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DBpedia is a Semantic Web resource that aims at representing Wikipedia in RDF triples. Due to the large and growing number of resources linked to it, DBpedia has become central for the Semantic Web community. The English version currently covers around 1.7M Wikipedia pages. However, the English Wikipedia contains almost 4M pages. This means that there is a substantial problem of coverage (even bigger in other languages). The coverage slowly increases thanks to the manual effort made by various local communities. This effort is aimed at manually mapping Wikipedia templates into DBpedia ontology classes and then run the open-source software provided by the DBpedia community to extract the triples. In this paper, we present an approach to automatically map templates and we release the resulting resource in 25 languages. We describe the used algorithm, starting from the existing mappings on other languages and extending them using the cross-lingual information available in Wikipedia. We evaluate our system on the mappings of a set of languages already included in DBpedia (but not used during the training phase), demonstrating that our approach can replicate the human mappings with high precision and recall, and producing an additional set of mappings not included in the original DBpedia.