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2011 European Intelligence and Security Informatics Conference
Detecting Emergent Conflicts through Web Mining and Visualization
Athens, Greece
September 12-September 14
ISBN: 978-0-7695-4406-9
| ASCII Text | x | ||
| Fredrik Johansson, Joel Brynielsson, Pontus Hörling, Michael Malm, Christian Mârtenson, Staffan Truvé, Magnus Rosell, "Detecting Emergent Conflicts through Web Mining and Visualization," European Intelligence and Security Informatics Conference, pp. 346-353, 2011 European Intelligence and Security Informatics Conference, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/EISIC.2011.21, author = {Fredrik Johansson and Joel Brynielsson and Pontus Hörling and Michael Malm and Christian Mârtenson and Staffan Truvé and Magnus Rosell}, title = {Detecting Emergent Conflicts through Web Mining and Visualization}, journal ={European Intelligence and Security Informatics Conference}, volume = {0}, year = {2011}, isbn = {978-0-7695-4406-9}, pages = {346-353}, doi = {http://doi.ieeecomputersociety.org/10.1109/EISIC.2011.21}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - European Intelligence and Security Informatics Conference TI - Detecting Emergent Conflicts through Web Mining and Visualization SN - 978-0-7695-4406-9 SP346 EP353 A1 - Fredrik Johansson, A1 - Joel Brynielsson, A1 - Pontus Hörling, A1 - Michael Malm, A1 - Christian Mârtenson, A1 - Staffan Truvé, A1 - Magnus Rosell, PY - 2011 KW - Information fusion KW - trend analysis KW - trend spotting KW - web harvesting KW - web mining VL - 0 JA - European Intelligence and Security Informatics Conference ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EISIC.2011.21
An ocean of data is available on the web. From this ocean of data, information can in theory be extracted and used by analysts for detecting emergent trends (trend spotting). However, to do this manually is a daunting and nearly impossible task. We describe a semi-automatic system in which data is automatically collected from selected sources, and to which linguistic analysis is applied to extract e.g., entities and events. After combining the extracted information with human intelligence reports, the results are visualized to the user of the system who can interact with it in order to obtain a better awareness of historic as well as emergent trends. A prototype of the proposed system has been implemented and some initial results are presented in the paper.
Index Terms:
Information fusion, trend analysis, trend spotting, web harvesting, web mining
Citation:
Fredrik Johansson, Joel Brynielsson, Pontus Hörling, Michael Malm, Christian Mârtenson, Staffan Truvé, Magnus Rosell, "Detecting Emergent Conflicts through Web Mining and Visualization," eisic, pp.346-353, 2011 European Intelligence and Security Informatics Conference, 2011
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