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Conference Paper
Geosemantics Knowledge Mining Model Framework in Social Network Media
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- Authors
- Suwook Ha, Kwang Woo Nam, Keun Ho Ryu
- Issue Date
- 2015-11
- Citation
- Workshop on Time Series Data Analysis and its Applications (TSDAA) 2015, pp.1-9
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we will address not only a knowledge mining framework, modelling, and their applications in social media streams, but also current issues and ongoing work for related work. First we will introduce a spatial and a temporal concepts, a spatiotemporal concept, social media stream, and geosemantics as well as their services. Second we will explain knowledge extraction of geosemantics and issues of knowledge extraction in geospatial domain as well as ontology in social media stream. Some issues, which are social media stream collection and preprocessing, association rule in social media stream, applications of knowledge to be extracted, are also discussed. Third we propose a framework of geosemantics knowledge mining for social network media: collecting social media data, extracting concepts, finding rules according to the transaction, and monitoring the issues and changing of the issue. We also take care of an indexing technique for geospatial problems. Finally we discuss current issues and ongoing researches.
- KSP Keywords
- Indexing technique, Knowledge extraction, Knowledge mining, Mining model, Model framework, Social media stream, Social network media, association rules, related work, social media data, social network(SN)