Semantic Fingerprint of Hot Event Acquisition based on Graph Theory

DOI

10.2991/icamcs-16.2016.17How to use a DOI?

Keywords

Semantic Fingerprint, Hot Events, Relevancy, Graph-based

Abstract

Now, there are more and more hot event of network. The event itself is complex, and have too much useless information. In this paper, we propose a formal method which uses semantic fingerprint to represent the hot event of network, and it can be very intuitive expression important information of hot events. Based on the graph theory, by the event title, the text sentence as the node, through the interaction between them, get hot events on behalf of the sentence. Then use the TF-IDF method to get the feature word from the sentence expression the semantic fingerprints of hot events. The semantic fingerprint is applied to the retrieval model to prove the validity of the event semantic fingerprint method.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Maoyuan Zhang
AU  - Qiongyao Meng
AU  - Xiaohang Pan
PY  - 2016/06
DA  - 2016/06
TI  - Semantic Fingerprint of Hot Event Acquisition based on Graph Theory
BT  - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science
PB  - Atlantis Press
SP  - 82
EP  - 87
SN  - 2352-5401
UR  - https://doi.org/10.2991/icamcs-16.2016.17
DO  - 10.2991/icamcs-16.2016.17
ID  - Zhang2016/06
ER  -