DBpedia is a community project that extracts structured information from Wikipedia and makes it available on the Web. It allows users to ask complex queries against Wikipedia-derived datasets and link other Web datasets to Wikipedia data. The project describes the extraction process of DBpedia datasets and how the information is published for human and machine consumption. It also outlines emerging applications and how website authors can integrate DBpedia content. The current status of interlinking DBpedia with other open datasets is presented, and the potential of DBpedia as a nucleus for a Web of open data is discussed. DBpedia focuses on converting Wikipedia content into structured knowledge to enable Semantic Web techniques. Key contributions include an information extraction framework that converts Wikipedia content to RDF, a large multi-domain RDF dataset with over 103 million triples, interlinking with other open datasets to create a large Web of data with around 2 billion triples, and interfaces for accessing the dataset via Web services. The DBpedia dataset provides information about over 1.95 million entities, including people, places, music albums, films, and more. It is available in 13 languages and is stored in RDF format. The dataset is accessible via Linked Data, SPARQL queries, and downloadable RDF dumps. DBpedia interlinks with other datasets like Geonames, DBLP, and MusicBrainz, enabling navigation between different data sources. User interfaces for DBpedia include simple integration into web pages, search interfaces, query interfaces, and third-party applications. The project also discusses related work, such as the YAGO project and Semantic MediaWiki, and outlines future work, including improving dataset quality, exploring new user interfaces, and interlinking with more datasets. DBpedia is a major source of open, royalty-free data on the Web and aims to serve as a nucleus for the emerging Web of Data.DBpedia is a community project that extracts structured information from Wikipedia and makes it available on the Web. It allows users to ask complex queries against Wikipedia-derived datasets and link other Web datasets to Wikipedia data. The project describes the extraction process of DBpedia datasets and how the information is published for human and machine consumption. It also outlines emerging applications and how website authors can integrate DBpedia content. The current status of interlinking DBpedia with other open datasets is presented, and the potential of DBpedia as a nucleus for a Web of open data is discussed. DBpedia focuses on converting Wikipedia content into structured knowledge to enable Semantic Web techniques. Key contributions include an information extraction framework that converts Wikipedia content to RDF, a large multi-domain RDF dataset with over 103 million triples, interlinking with other open datasets to create a large Web of data with around 2 billion triples, and interfaces for accessing the dataset via Web services. The DBpedia dataset provides information about over 1.95 million entities, including people, places, music albums, films, and more. It is available in 13 languages and is stored in RDF format. The dataset is accessible via Linked Data, SPARQL queries, and downloadable RDF dumps. DBpedia interlinks with other datasets like Geonames, DBLP, and MusicBrainz, enabling navigation between different data sources. User interfaces for DBpedia include simple integration into web pages, search interfaces, query interfaces, and third-party applications. The project also discusses related work, such as the YAGO project and Semantic MediaWiki, and outlines future work, including improving dataset quality, exploring new user interfaces, and interlinking with more datasets. DBpedia is a major source of open, royalty-free data on the Web and aims to serve as a nucleus for the emerging Web of Data.