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Evaluating Significance of Historical Entities Based on Tempo-Spatial Impacts Analysis Using Wikipedia Link Structure
| Title: | Evaluating Significance of Historical Entities Based on Tempo-Spatial Impacts Analysis Using Wikipedia Link Structure |
| Authors: | Takahashi, Yuku Browse this author | | Ohshima, Hiroaki Browse this author →KAKEN DB | | Yamamoto, Mitsuo Browse this author | | Iwasaki, Hirotoshi Browse this author | | Oyama, Satoshi Browse this author →KAKEN DB | | Tanaka, Katsumi Browse this author →KAKEN DB |
| Keywords: | Wikipedia structure analysis | | Historical entities | | PageRank | | Historical entity importance |
| Issue Date: | Jun-2011 |
| Publisher: | ACM |
| Citation: | HT '11 Proceedings of the 22nd ACM conference on Hypertext and hypermedia, ISBN: 978-1-4503-0256-2 |
| Start Page: | 83 |
| End Page: | 92 |
| Publisher DOI: | 10.1145/1995966.1995980 |
| Abstract: | We propose a method to evaluate the signi cance of his- torical entities (people, events, and so on.). Here, the sig- ni cance of a historical entity means how it affected other historical entities. Our proposed method rst calculates the tempo-spacial impact of historical entities. The impact of a historical entity varies according to time and location. His- torical 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 in uenced by the latter. Historical entities in Wikipedia usually have the date and location of their occurrence. Our proposed iteration al- gorithm 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 signi - cant if it in uences 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. |
| Conference Name: | ACM conference on Hypertext and hypermedia |
| Conference Sequence: | 22 |
| Conference Place: | Eindhoven |
| Rights: | ©2011 ACM. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in HT '11 Proceedings of the 22nd ACM conference on Hypertext and hypermedia, ISBN: 978-1-4503-0256-2, 2011, http://doi.acm.org/10.1145/1995966.1995980 |
| Type: | proceedings (author version) |
| URI: | http://hdl.handle.net/2115/65245 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小山 聡
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