Wikidata: a new platform for collaborative data collection
By Denny Vrandečić. 2012
518 citations recorded by the source corpus.
Subfields: Communication, Knowledge Graphs & Representation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Xiang Ren
- Qinyuan Ye
- Luke S. Zettlemoyer
- Sebastian Riedel
- Eunsol Choi
- Minjoon Seo
- Omer Levy
- Xindong Wu
In Knowledge Graphs & Representation
- Xiang Ren
- Qinyuan Ye
- Luke S. Zettlemoyer
- Xindong Wu
- Sebastian Riedel
- Eunsol Choi
- Minjoon Seo
- Omer Levy
Citations in the corpus
- Zero-Shot Relation Extraction via Reading Comprehension (2017, methodology): “WikiReading was collected by aligning each Wikidata (Vrandeˇci´c, 2012) relation R ( e, a ) with the corresponding Wikipedia article D for the entity e , under the reasonable assumption that the relation can be derived from the article’s text.”
- Constructing Datasets for Multi-hop Reading Comprehension Across Documents (2017, background): “We now apply the methodology from Section 2 to create a multi-hop dataset with WIKIPEDIA as the document corpus and WIKIDATA as structured knowledge triples.”
- Wikidata: A large-scale collaborative ontological medical database (2019, background): “…Kipersztok, Das, Häggström, & Heilman, 2017) and medical education (Azzam, et al., 2017), Wikidata is well-placed to take on the role as a centralized secondary biomedical ontological database (Vrandečić, 2012 ; Jacobsen, Waagmeester, Kaliyaperumal, Stupp, Schriml, Thomspon, Su, & Roos, 2018).”
- Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, background): “Wikidata, the structured-data backbone of Wikipedia [86], offers some help.”
- FAIR Principles: Interpretations and Implementation Considerations (2020, unknown): “, Wikidata(16) [26]), geographical and geospatial data, or other related domain”
- Zero-shot Learning by Generating Task-specific Adapters (2021, methodology): “Ad-ditionally, since all relations in ZSRE come from Wikidata (Vrandecic, 2012), we gather relation descriptions from wikidata.org as task description.”
- From Word to Sense Embeddings: A Survey on Vector Representations of Meaning (2018, background): “Wikidata (Vrandeˇci´c, 2012) is a project operated directly by the Wikimedia Foundation with the goal of turning Wikipedia into a fully structured resource, thereby providing a common source of data that can be used by other Wiki-media projects.”
- A Comprehensive Survey on Automatic Knowledge Graph Construction (2023, methodology): “After an early attempt by the DBpedia project to incorporate automatic extraction tools, more knowledge graph projects decided to do the same, including Wikidata [5] and CN-DBpedia [43].”
- Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models (2020, unknown): “Wikidata [30] has recently attracted the community’s”
- LC-QuAD: A Corpus for Complex Question Answering over Knowledge Graphs (2017, background): “With the advent of large scale knowledge bases (KBs), such as DBpedia [7], Freebase [1], and Wikidata [12], Question Answering (QA) over structured data has become a major research topic (see [6] for a survey on QA systems).”
- K-LITE: Learning Transferable Visual Models with External Knowledge (2022, background): “Knowledge-Intensive Models: In natural language processing (NLP), with the increase of model capacity via pre-trained language models [17], there emerges the need for more knowledgeable models [55] with advanced functionalities such as making use of encyclopedic [88, 4, 6] and commonsense knowledge ”