News event modeling and tracking in the social web with ontological guidance

Viet Ha-Thuc, Yelena Mejova, Christopher Harris, Padmini Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

News event modeling and tracking in the social web is the task of discovering which news events individuals in social communities are most interested in, how much discussion these events generate and tracking these discussions over time. The task could provide informative summaries on what has happened in the real world, yield important knowledge on what are the most important events from the crowd's perspective and reveal their temporal evolutionary trends. Latent Dirichlet Allocation (LDA) has been used intensively for modeling and tracking events (or topics) in text streams. However, the event models discovered by this bottom-up approach have limitations such as a lack of semantic correspondence to real world events. Besides, they do not scale well to large datasets. This paper proposes a novel latent Dirichlet framework for event modeling and tracking. Our approach takes into account ontological knowledge on events that exist in the real world to guide the modeling and tracking processes. Therefore, event models extracted from the social web by our approach are always meaningful and semantically match with real world events. Practically, our approach requires only a single scan over the dataset to model and track events and hence scales well with dataset size.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010
Pages414-419
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2010
Externally publishedYes
Event4th IEEE International Conference on Semantic Computing, ICSC 2010 - Pittsburgh, PA, United States
Duration: 22 Sep 201024 Sep 2010

Other

Other4th IEEE International Conference on Semantic Computing, ICSC 2010
CountryUnited States
CityPittsburgh, PA
Period22/9/1024/9/10

Fingerprint

Social Web
Guidance
Modeling
Semantics
Dirichlet
Bottom-up
Large Data Sets

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Ha-Thuc, V., Mejova, Y., Harris, C., & Srinivasan, P. (2010). News event modeling and tracking in the social web with ontological guidance. In Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010 (pp. 414-419). [5629095] https://doi.org/10.1109/ICSC.2010.75

News event modeling and tracking in the social web with ontological guidance. / Ha-Thuc, Viet; Mejova, Yelena; Harris, Christopher; Srinivasan, Padmini.

Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010. 2010. p. 414-419 5629095.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ha-Thuc, V, Mejova, Y, Harris, C & Srinivasan, P 2010, News event modeling and tracking in the social web with ontological guidance. in Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010., 5629095, pp. 414-419, 4th IEEE International Conference on Semantic Computing, ICSC 2010, Pittsburgh, PA, United States, 22/9/10. https://doi.org/10.1109/ICSC.2010.75
Ha-Thuc V, Mejova Y, Harris C, Srinivasan P. News event modeling and tracking in the social web with ontological guidance. In Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010. 2010. p. 414-419. 5629095 https://doi.org/10.1109/ICSC.2010.75
Ha-Thuc, Viet ; Mejova, Yelena ; Harris, Christopher ; Srinivasan, Padmini. / News event modeling and tracking in the social web with ontological guidance. Proceedings - 2010 IEEE 4th International Conference on Semantic Computing, ICSC 2010. 2010. pp. 414-419
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