DBpedia - A crystallization point for the Web of Data
By Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann. 2009
2,519 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Communication, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Heiko Paulheim
- Zhiyuan Liu
- Maosong Sun
- Mohit Bansal
- Roberto Navigli
- Wayne Xin Zhao
- Percy Liang
- Erik Cambria
In Communication
- Heiko Paulheim
- Roberto Navigli
- Simone Paolo Ponzetto
- Maosong Sun
- Zhiyuan Liu
- Christian Bizer
- Jonathan Berant
- Denny Vrandečić
In Information Systems
- Heiko Paulheim
- Wayne Xin Zhao
- Xiangnan He
- Ji-rong Wen
- Tat-seng Chua
- Jens Lehmann
- Sören Auer
- Zhiyuan Liu
Citations in the corpus
- Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning (2019, background): “Generic KGs (e.g., DBpedia (Bizer et al. 2009), YAGO2 (Hoffart et al. 2013), Freebase (Bollacker et al. 2008)) may contain over a million entities and close to a billion relationships.”
- A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2017, background): “The popular knowledge bases include Wikipedia [66], Freebase [37], YAGO [67], DBpedia [68], etc.”
- A Survey on Application of Knowledge Graph (2020, background): “Nowadays, “Knowledge Graph” is also referring to semantic web knowledge bases such as DBpedia [4], YAGO [5], Wikidata or Freebase [6].”
- BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network (2012, methodology): “[ 12 6] best unsupervised 64.”
- Unsupervised generation of data mining features from linked open data (2012, background): “1 We are aware that the semantics of these features deny two essential semantic fundamental principles of linked open data, the open world assumption and the non-unique naming assumption .”
- LinkedGeoData: A core for a web of spatial open data (2012, background): “As an example, cities in LGD and DBpedia are matched between all instances of lgdo:City, lgdo:Town, lgdo:Village and lgdo:Hamlet on one side and dbo:Settlement on the other.”
- Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017, background): “[12] that DBpedia has established itself as a hub in the Linked Data cloud.”
- Robust Discovery of Positive and Negative Rules in Knowledge Bases (2018, background): “Significant effort has been put on KBs creation in the last 10 years in the research community (DBPedia [3], FreeBase [4], Wikidata [24], DeepDive [19], Yago [20]) as well as in the industry (e.”
- DBpedia spotlight: shedding light on the web of documents (2011, background): “DBpedia [4] is developing into an interlinking hub in the Web of Data that enables access to many data sources in the Linked Open Data cloud.”
- Aligning Cross-Lingual Entities with Multi-Aspect Information (2019, background): “Existing KGs (Bizer et al., 2009; Suchanek et al., 2008; Rebele et al., 2016) provide multi-aspect information of entities.”
- DBpedia SPARQL Benchmark - Performance Assessment with Real Queries on Real Data (2011, background): “Examples of such knowledge bases are curated bio-medical ontologies such as those contained in Bio2RDF [2] as well as knowledge bases extracted from unstructured or semi-structured sources such as DBpedia [10] or LinkedGeoData [1].”
- Template-based question answering over RDF data (2012, methodology): “EVALUATION AND DISCUSSION The evaluation is based on the QALD benchmark on DBpedia [10].”
- RuleHub (2020, background): “Over the last 15 years, lots of large academic [7, 10, 35, 39] and institutional [8, 14, 18] KGs have been presented.”
- Quantifying Similarity between Relations with Fact Distribution (2019, background): “Relations 1 , representing various types of connections between entities or arguments, are the core of expressing relational facts in most general knowledge bases (KBs) (Suchanek et al., 2007; Bollacker et al., 2008).”
- Evolution of Semantic Similarity—A Survey (2020, methodology): “Zhu and Iglesias[99] proposed another weighted path measure called wapth that adds the IC value of the Least Common Subsumer as a weight to the shortest path length. wpath is calculated as This method was proposed to be used in various knowledge graphs(KG) like WordNet[63], DBPedia[14], YAGO[32], et”