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TRank: Ranking Entity Types Using the Web of Data.

, , , , and . International Semantic Web Conference (1), volume 8218 of Lecture Notes in Computer Science, page 640-656. Springer, (2013)

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Entity disambiguation in tweets leveraging user social profiles., , , and . IRI, page 120-128. IEEE, (2013)It's getting crowded!: how to use crowdsourcing effectively for web science research., , , and . WebSci, page 11. ACM, (2016)Building a Front End for a Sensor Data Cloud., , , , and . ICCSA (3), volume 6784 of Lecture Notes in Computer Science, page 566-581. Springer, (2011)A Node Indexing Scheme for Web Entity Retrieval., , , and . ESWC (2), volume 6089 of Lecture Notes in Computer Science, page 240-256. Springer, (2010)Hierarchical Link Analysis for Ranking Web Data., , , , and . ESWC (2), volume 6089 of Lecture Notes in Computer Science, page 225-239. Springer, (2010)MemorySense: Reconstructing and ranking user memories on mobile devices., , , , , and . PerCom Workshops, page 195-198. IEEE Computer Society, (2014)Contextualized ranking of entity types based on knowledge graphs., , , , , and . J. Web Semant., (2016)Structuring Wikipedia Articles with Section Recommendations., , , and . SIGIR, page 665-674. ACM, (2018)Managing Terabytes of Web Semantics Data., , , and . Semantic Web Information Management, Springer, (2009)Latent Structure in Collaboration: the Case of Reddit r/place., , , and . CoRR, (2018)