Knowledge Management and Human Trafficking: Using Conceptual Knowledge Representation, Text Analytics and Open-Source Data to Combat Organized Crime

1. Elliott, A., Urry, J.: Mobile lives. Routledge (2010)

   Google Scholar 

2. Krikorian, R.: Twitter Engineering Blog: New Tweets per Second Records, and How! https://blog.twitter.com/2013/new-tweets-per-second-record-and-how

3. ePOOLICE. ePOOLICE - About, https://www.epoolice.eu/EPOOLICE/about.jsp

4. Gottschalk, P.: Knowledge management technology for organized crime risk assessment. Inf. Syst. Front. 12(3), 267–275 (2010), http://dx.doi.org/10.1007/s10796-009-9178-8

5. Rankin, G., Kinsella, N.: Human trafficking–The importance of knowledge information exchange. In: Intelligence Management, pp. 159–180. Springer (2011)

   Google Scholar 

6. United Nations Office on Drugs and Crime (UNODC), United Nations Convention Against Transnational Organised Crime and the Protocols Thereto (2004)

   Google Scholar 

7. Serious Organised Crime Agency (SOCA), UKHTC: A Strategic Assessment on the Nature and Scale of Human Trafficking in 2012 (2013)

   Google Scholar 

8. Europol. Organised Crime Threat Assessment, https://www.europol.europa.eu/sites/default/files/publications/octa2011.pdf

9. United Nations Office on Drugs and Crime (UNODC), Global Report on Trafficking in Persons (2012)

   Google Scholar 

10. United Nations Office on Drugs and Crime (UNODC), Anti-Human Trafficking Manual for Criminal Justice Practitioners (2009)

    Google Scholar 

11. Logan, T.K., Walker, R., Hunt, G.: Understanding human trafficking in the united states. Trauma. Violence Abuse 10(1), 3–30 (2009)

    Article  Google Scholar 

12. Laczko, F.: Enhancing Data Collection and Research on Trafficking in Persons. In: Measuring Human Trafficking, pp. 37–44. Springer (2007)

    Google Scholar 

13. Tyldum, G., Brunovskis, A.: Describing the Unobserved: Methodological Challenges in Empirical Studies on Human Trafficking. In: Laczko, F., Godziak, E. (eds.) Data and Research on Human Trafficking: A Global Survey. IOM International Organisation for Migration, Geneva (2005)

    Google Scholar 

14. United Nations Office on Drugs and Crime (UNODC), Global Report on Trafficking in Persons (2009)

    Google Scholar 

15. EUROPOL. EU Serious and Organised Crime Threat Assessment, https://www.europol.europa.eu/sites/default/files/publications/socta2013.pdf

16. Human Trafficking Foundation. Modern Day Slavery in British Nail Bars, http://www.humantraffickingfoundation.org/news/2013/modern-day-slavery-british-nail-bars

17. Martin, P.: Nail Salons and Human Trafficking, http://www.huffingtonpost.com/phillip-martin/nail-salons-and-human-tra_b_669076.html

18. Siskin, A., Wyler, L.S.: Trafficking in persons: US policy and issues for congress. Springer (2012)

    Google Scholar 

19. Arbuthnott, D.: Beauty and the beasts: Slaves in Britain. The Sunday Times Magazine (2013) (August 18, 2010)

    Google Scholar 

20. Criminal Intelligence Service Canada (CISC). Strategic Early Warning for Criminal Intelligence, http://www.cisc.gc.ca/products_services/sentinel/document/early_warning_methodology_e.pdf

21. Chaves, T.D., Pendleton, M.R., Bueerman, C.J.: Knowledge management in policing. Community Oriented Policing Services (COPS) US Department of Justice (2005)

    Google Scholar 

22. Hughes, R.G., Stoddart, K.: Hope and fear: Intelligence and the future of global security a decade after 9/11. Intelligence and National Security 27(5), 625–652 (2012), http://dx.doi.org.lcproxy.shu.ac.uk/10.1080/02684527.2012.708518

    Article  Google Scholar 

23. Akhgar, B., Yates, S.: Intelligence Management: Knowledge Driven Frameworks for Combating Terrorism and Organized Crime. Springer (2011)

    Google Scholar 

24. Wiig, K.M.: Knowledge management: An emerging discipline rooted in a long history. In: Knowledge Horizons: The Present and the Promise of Knowledge Management, pp. 3–26 (2000)

    Google Scholar 

25. Dalkir, K.: Knowledge management in theory and practice. Routledge (2013)

    Google Scholar 

26. United Nations Office on Drugs and Crime (UNODC). Voluntary Reporting System on Migrant Smuggling and Related Conduct (VRS-MSRC), https://www.unodc.org/southeastasiaandpacific/en/vrs-msrc.html

27. Cook, S.D., Brown, J.S.: Bridging epistemologies: The generative dance between organizational knowledge and organizational knowing. Organization Science 10(4), 381–400 (1999)

    Article  Google Scholar 

28. Nonaka, I., Toyama, R., Konno, N.: SECI, ba and leadership: A unified model of dynamic knowledge creation. Long Range Plann. 33(1), 5–34 (2000)

    Article  Google Scholar 

29. Boisot, M.: Knowledge assets: Securing competitive advantage in the knowledge economy (1998)

    Google Scholar 

30. Meyer, M., Zack, M.: The design and implementation of information products. Sloan Management Review 37(3), 43–59 (1996)

    Google Scholar 

31. Wiig, K.: Knowledge management foundations. In: Thinking about Thinking. How People and Organizations Create, Represent, and Use Knowledge, Arlington, TX, USA (1993)

    Google Scholar 

32. Nonaka, I., Takeuchi, H.: The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press, New York (1995)

    Google Scholar 

33. Sowa, J.F.: The challenge of knowledge soup. In: Research Trends in Science, Technology and Mathematics Education, pp. 55–90 (2006)

    Google Scholar 

34. Chen, H., Zeng, D., Atabakhsh, H., Wyzga, W., Schroeder, J.: COPLINK: Managing law enforcement data and knowledge. Communications of the ACM 46(1), 28–34 (2003)

    Article  Google Scholar 

35. IBM. IBM i2 COPLINK: Accelerating Law Enforcement, http://www-01.ibm.com/common/ssi/cgi-bin/ssialias?subtype=BR&infotype=PM&appname=SWGE_ZZ_ZZ_USEN&htmlfid=ZZB03016USEN&attachment=ZZB03016USEN.PDF

36. Polovina, S.: An introduction to conceptual graphs. In: Priss, U., Polovina, S., Hill, R. (eds.) ICCS 2007. LNCS (LNAI), vol. 4604, pp. 1–14. Springer, Heidelberg (2007)

    Google Scholar 

37. Sowa, J.F.: Conceptual structures: information processing in mind and machine. Addison-Wesley Longman Publishing Co., Inc. (1984)

    Google Scholar 

38. ILO (International Labour Office), Operational Indicators of Traffcking in Human Beings (2009)

    Google Scholar 

39. CoGui. CoGui in a Nutshell, http://www.lirmm.fr/cogui/nutshell.php

40. Feldman, R., Sanger, J.: The text mining handbook: advanced approaches in analyzing unstructured data. Cambridge University Press (2007)

    Google Scholar 

41. Reamy, T.: Enterprise content categorization - how to sucessfully choose, develop and implement a semantic strategy. Knowledge Architecture Professional Services, KAPS Group (2010)

    Google Scholar 

42. Chau, M., Xu, J.J., Chen, H.: Extracting meaningful entities from police narrative reports. In: Proceedings of the 2002 Annual National Conference on Digital Government Research, pp. 1–5 (2002)

    Google Scholar 

43. Chen, H., Chung, W., Xu, J.J., Wang, G., Qin, Y., Chau, M.: Crime data mining: A general framework and some examples. Computer 37(4), 50–56 (2004)

    Article  Google Scholar 

44. Reamy, T.: Enterprise content categorization - the business strategy for a semantic infrastructure. Knowledge Architecture Professional Services, KAPS Group (2010)

    Google Scholar 

45. Hu, X., Liu, H.: Text analytics in social media. In: Aggarwal, C.C., Zhai, C. (eds.) Mining Text Data, pp. 385–414. Springer (2012)

    Google Scholar 

46. SAS Institute Inc. SAS Content Categorization Studio 12.1: User’s Guide, http://support.sas.com/documentation/onlinedoc/ccs/12.1/ccsug.pdf

47. MaxMind. Free World Cities Database, http://www.maxmind.com/en/worldcities

Download references