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Scalable spatio-temporal knowledge harvesting

Authors:

Gerhard WeikumAuthors Info & Claims

WWW '11: Proceedings of the 20th international conference companion on World wide web

Pages 143 - 144

https://doi.org/10.1145/1963192.1963265

Published: 28 March 2011 Publication History

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Abstract

Knowledge harvesting enables the automated construction of large knowledge bases. In this work, we made a first attempt to harvest spatio-temporal knowledge from news archives to construct trajectories of individual entities for spatio-temporal entity tracking. Our approach consists of an entity extraction and disambiguation module and a fact generation module which produce pertinent trajectory records from textual sources. The evaluation on the 20 years' New York Times news article corpus showed that our methods are effective and scalable.

References

[1]

GeoNames, http://www.geonames.org/.

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LingPipe, http://alias-i.com/lingpipe/index.html.

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[3]

New York Times Annotated Corpus, http://corpus.nytimes.com/.

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[4]

F. M. Suchanek, G. Kasneci, and G. Weikum. Yago: A large ontology from wikipedia and wordnet. J. Web Sem., 6(3):203--217, 2008.

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Google Scholar

[5]

B. E. Teitler, M. D. Lieberman, D. Panozzo, J. Sankaranarayanan, H. Samet, and J. Sperling. Newsstand: a new view on news. In GIS, page 18, 2008.

Digital Library

Google Scholar

[6]

Y. Wang, M. Zhu, L. Qu, M. Spaniol, and G. Weikum. Timely yago: harvesting, querying, and visualizing temporal knowledge from wikipedia. In EDBT, pages 697--700, 2010.

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Cited By

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Vempala ABlanco E(2020)Extracting Biographical Spatial Timelines: Corpus and ExperimentsIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2020.298841828(1395-1403)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1109/TASLP.2020.2988418
Yang DNie TZhang J(2018)Temporal Evolution Data Model for Heterogeneous Entities: Modeling with Temporal and Evolution InformationCloud Computing and Security10.1007/978-3-030-00009-7_19(202-211)Online publication date: 21-Sep-2018
https://doi.org/10.1007/978-3-030-00009-7_19
Ho SLieberman MWang PSamet HChow C(2012)Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation systemProceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems10.1145/2442810.2442816(25-32)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2442810.2442816
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Index Terms

Scalable spatio-temporal knowledge harvesting
1. Computing methodologies
  1. Modeling and simulation
    1. Simulation theory
      1. Systems theory
2. Mathematics of computing
  1. Information theory

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Information & Contributors

Information

Published In

WWW '11: Proceedings of the 20th international conference companion on World wide web

March 2011

552 pages

ISBN:9781450306379

DOI:10.1145/1963192

General Chairs:
S. Sadagopan
IIIT-Bangalore, India
,
Krithi Ramamritham
IIT-Bombay, India
,
Arun Kumar
IBM Research, India
,
M. P. Ravindra
Infosys E & R, India
,
Program Chairs:
Elisa Bertino
Purdue University, USA
,
Ravi Kumar
Yahoo! Research, USA

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
The International Institute of Information Technology Bangalore: The International Institute of Information Technology Bangalore

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 March 2011

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WWW '11

WWW '11: 20th International World Wide Web Conference

March 28 - April 1, 2011

Hyderabad, India

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Vempala ABlanco E(2020)Extracting Biographical Spatial Timelines: Corpus and ExperimentsIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2020.298841828(1395-1403)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1109/TASLP.2020.2988418
Yang DNie TZhang J(2018)Temporal Evolution Data Model for Heterogeneous Entities: Modeling with Temporal and Evolution InformationCloud Computing and Security10.1007/978-3-030-00009-7_19(202-211)Online publication date: 21-Sep-2018
https://doi.org/10.1007/978-3-030-00009-7_19
Ho SLieberman MWang PSamet HChow C(2012)Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation systemProceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems10.1145/2442810.2442816(25-32)Online publication date: 6-Nov-2012
https://dl.acm.org/doi/10.1145/2442810.2442816
Strötgen JGertz MBoughida KHoward BNelson MVan de Sompel HSølvberg I(2012)Event-centric search and exploration in document collectionsProceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries10.1145/2232817.2232859(223-232)Online publication date: 10-Jun-2012
https://dl.acm.org/doi/10.1145/2232817.2232859

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Recommendations

Entity Disambiguation with Linkless Knowledge Bases

Search-based entity disambiguation with document-centric knowledge bases

From information to knowledge: harvesting entities and relationships from web sources