Name entity extraction based on POS tagging for criminal information analysis and relation visualization

Kai Sheng Yang, Chun Cheng Chen, Yuen Hsien Tseng, Zih Ping Ho

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

An efficient name entity extraction based on part-of-speech (POS) tagging of term mining method was proposed. It would build a general term network is presented for entity relation visualization and exploration. Terms from each document in the corpus are first identified. They are subjected to the analysis for their association weights, which are accumulated over all the documents for each term pair. This study also modified the extraction based on POS tagging algorithm by studying literature approach. Numerous literatures were related to name entity extraction or POS tagging, there are only a limited amount of studies available on Chinese criminal intelligence analysis, which we believe is an easy yet powerful tool for crime investigation. This analysis scenario based on the collective terms of the similar type or from the same source enables criminal notes to show indirect relation network. Some practical instances of criminal intelligence analysis were demonstrated. Our application examples show that through this new methodology, more detail information and invisible relations in previous studies would be enhancing drawn out for visualization. Social network collects different kinds of information of people to form a semantic web, and plays an important role in the development and exploration of new information. From criminal investigation notes, Internet new, and litigation data, term network based on document co-occurrence, it would describe profiles of various clues. The contribution of this article is to present an efficient and effective term-correlation mining method by using name entity extraction of POS tagging. It would help law enforcement agent investigation and explore probable criminal acts more efficiently.

原文英語
主出版物標題Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
頁面785-789
頁數5
出版狀態已發佈 - 2012
事件2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012 - Taipei, 臺灣
持續時間: 2012 10月 232012 10月 25

出版系列

名字Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012

其他

其他2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
國家/地區臺灣
城市Taipei
期間2012/10/232012/10/25

ASJC Scopus subject areas

  • 資訊系統
  • 軟體

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