@inproceedings{takahashi2011evaluating,
  abstract = {We propose a method to evaluate the significance of historical entities (people, events, and so on.). Here, the significance of a historical entity means how it affected other historical entities. Our proposed method first calculates the tempo-spacial impact of historical entities. The impact of a historical entity varies according to time and location. Historical entities are collected from Wikipedia. We assume that a Wikipedia link between historical entities represents an impact propagation. That is, when an entity has a link to another entity, we regard the former is influenced by the latter. Historical entities in Wikipedia usually have the date and location of their occurrence. Our proposed iteration algorithm propagates such initial tempo-spacial information through links in the similar manner as PageRank, so the tempo-spacial impact scores of all the historical entities can be calculated. We assume that a historical entity is significant if it influences many other entities that are far from it temporally or geographically. We demonstrate a prototype system and show the results of experiments that prove the effectiveness of our method.},
  acmid = {1995980},
  address = {New York, NY, USA},
  author = {Takahashi, Yuku and Ohshima, Hiroaki and Yamamoto, Mitsuo and Iwasaki, Hirotoshi and Oyama, Satoshi and Tanaka, Katsumi},
  booktitle = {Proceedings of the 22nd ACM conference on Hypertext and hypermedia},
  doi = {10.1145/1995966.1995980},
  interhash = {6665836546bedb1ee5d56a4d16a0848e},
  intrahash = {e4769d86e71c9e7ba77d5d4af6f21e0c},
  isbn = {978-1-4503-0256-2},
  location = {Eindhoven, The Netherlands},
  numpages = {10},
  pages = {83--92},
  publisher = {ACM},
  title = {Evaluating significance of historical entities based on tempo-spatial impacts analysis using Wikipedia link structure},
  url = {http://doi.acm.org/10.1145/1995966.1995980},
  year = 2011
}