DBpedia 2014 Liang Zheng 9.22

DBpedia A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia Nucleus for the Web of Data

DBpedia [version 2014, 09/2014] [03/2007 v1.0 ---- 09/2013 v3.9] Large-scale, Multilingual 4.58 million things, including 1,445,000 persons, 735,000 place, 411,000 creative works, 241,000 organizations … 685 classes (1,079 object properties , 1,600 datatype properties …) 125 languages 3 billion RDF triples ( 580 million English, 2.46 billion other language editions.

DBpedia Framework

Extracting from Wikipedia Page Label Abstract Interlanguage Links Images Redirects Disambiguates External Links Pagelinks Homepages Categories Geo-coordinates

dbr  http://dbpedia.org/resource/ dbp  http://dbpedia.org/property/ http://mappings.dbpedia.org/index.php/Main_Page

DBpedia Extractors

DBpedia Extractors Raw Infobox Extraction Mapping-Based Infobox Extraction Alignment; via community-provided mappings http://mappings.dbpedia.org/index.php/Main_Page NLP Extraction

DBpedia Ontology Maximal depth of 5 http://mappings.dbpedia.org/server/ontology/classes/

Accessing the DBpedia SPARQL Endpoint Semantic Web browsers http://dbpedia.org/sparql Leipzig query builder  http://querybuilder.dbpedia.org; OpenLink (iSPARQL) http://dbpedia.org/isparql; SNORQL query explorer  http://dbpedia.org/snorql  Faceted Web Service Interface  http://dbpedia.org/fct Semantic Web browsers Tabulator, Sindice, DISCO SView http://wiki.dbpedia.org/OnlineAccess http://mappings.dbpedia.org/index.php/Main_Page

Other Knowledge Bases Freebase http://www.freebase.com/ Same: also extracts structured data from Wikipedia and makes it available in RDF. Differences: ① Freebase uses several sources to provide broad coverage; ② The store is GraphD graph database, can be directly edited by users. http://wiki.dbpedia.org/OnlineAccess

Other Knowledge Bases YAGO http://www.mpi-inf.mpg.de/yago-naga/yago/ Same: similar goals to DBpedia Differences: ① extracting a smaller number of relations compared to DBpedia to achieve very high precision and consistent knowledge. ② DBpedia ontology is manually maintained, YAGO is backed by WordNet and Wikipedia leaf categories. Due to this, YAGO contains many more classes than DBpedia. http://wiki.dbpedia.org/OnlineAccess

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