📅 May 9, 2020 • 🕐 10:12 • 🏷 Blog • 👁 157

… as an entity in the Google Knowledge Graph!

Which is funny, because “emerging entities” were the main topic of my PhD Thesis [1]. With my co-authors I’ve published research on:

  1. Learning how to recognize “out-of-knowledge base” entities emerging on social media [2]
  2. How our collective memory is formed through “emerging entities” on Wikipedia [3], and more generally
  3. Entity retrieval and ranking [4] where Google’s so-called “Knowledge Panels” often served as examples…
Google’s AI unleashes the long tail?

(FYI: I’m not sure how I ended up there, the metadata seems to be coming from Google Scholar)


[1] [pdf] D. Graus, “Entities of interest — discovery in digital traces,” PhD Thesis, 2017.
title={Entities of Interest — Discovery in Digital Traces},
author={Graus, David},
school={Informatics Institute, University of Amsterdam},
[2] [pdf] [doi] D. Graus, M. Tsagkias, L. Buitinck, and M. de Rijke, “Generating pseudo-ground truth for predicting new concepts in social streams,” in Advances in information retrieval, Cham, 2014, p. 286–298.
author={Graus, David and Tsagkias, Manos and Buitinck, Lars and de Rijke, Maarten},
title={Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams},
booktitle={Advances in Information Retrieval},
publisher={Springer International Publishing},
series = {ECIR '14}
[3] [pdf] [doi] D. Graus, D. Odijk, and M. de Rijke, “The birth of collective memories: analyzing emerging entities in text streams,” Journal of the association for information science and technology, vol. 69, iss. 6, pp. 773-786, 2018.
author = {Graus, David and Odijk, Daan and de Rijke, Maarten},
title = {The birth of collective memories: Analyzing emerging entities in text streams},
journal = {Journal of the Association for Information Science and Technology},
year = {2018},
volume = {69},
number = {6},
pages = {773-786},
doi = {10.1002/asi.24004},
url = {https://asistdl.onlinelibrary.wiley.com/doi/abs/10.1002/asi.24004},
eprint = {https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24004},
[4] [pdf] [doi] D. Graus, M. Tsagkias, W. Weerkamp, E. Meij, and M. de Rijke, “Dynamic collective entity representations for entity ranking,” in Proceedings of the ninth acm international conference on web search and data mining, New York, NY, USA, 2016, p. 595–604.
author = {Graus, David and Tsagkias, Manos and Weerkamp, Wouter and Meij, Edgar and de Rijke, Maarten},
title = {Dynamic Collective Entity Representations for Entity Ranking},
year = {2016},
isbn = {9781450337168},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/2835776.2835819},
doi = {10.1145/2835776.2835819},
booktitle = {Proceedings of the Ninth ACM International Conference on Web Search and Data Mining},
pages = {595–604},
numpages = {10},
keywords = {fielded retrieval, entity retrieval, entity ranking, content representation},
location = {San Francisco, California, USA},
series = {WSDM '16}