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Open Archaeology

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Extracting Information from Archaeological Texts

Keith W. Kintigh
  • School of Human Evolution & Social Change, Box 872402, Arizona State University, Tempe AZ 85282-4002 USA
Published Online: 2015-03-21 | DOI: https://doi.org/10.1515/opar-2015-0004

Abstract

To address archaeology’s most pressing substantive challenges, researchers must discover, access, and extract information contained in the reports and articles that codify so much of archaeology’s knowledge. These efforts will require application of existing and emerging natural language processing technologies to extensive digital corpora. Automated classification can enable development of metadata needed for the discovery of relevant documents. Although it is even more technically challenging, automated extraction of and reasoning with information from texts can provide urgently needed access to contextualized information within documents. Effective automated translation is needed for scholars to benefit from research published in other languages.

Keywords: synthesis; digital repositories; natural language processing; automated translation; automated reasoning

References

  • [1] Kintigh, K.W., Altschul, J.H., Beaudry, M.C., Drennan, R.D., Kinzig, A.P., Kohler, T.A., et al., Grand challenges for archaeology, American Antiquity 2014, 79(1), 5-24 Google Scholar

  • [2] Kintigh, K.W., Altschul, J.H., Beaudry, M.C., Drennan, R.D., Kinzig, A.P., Kohler, T.A., et al., Grand challenges for archaeology, Proceedings of the National Academy of Sciences, 2014, 111(3), 879-88 Google Scholar

  • [3] Departmental Consulting Archeologist, The Secretary’s report to Congress on the Federal Archeological Program, comparable SRC data 1985-2012, by year. Archeology Program, National Park Service, Washington, DC, http://www.nps. gov/archeology/SRC/data.htm, 2015 Google Scholar

  • [4] Altschul, J. H., Patterson, T.C., Trends in employment and training in American archaeology. In: Ashmore, W., Lippert, D., Mills, B.J. (Eds.), Voices in American archaeology, Society for American Archaeology, Washington DC, 2010 Google Scholar

  • [5] Archaeology Data Service, Center for Digital Antiquity, Caring for digital data in archaeology: a guide to good practice. Oxbow Books, Oxford, UK, 2013 http://guides.archaeologydataservice.ac.uk/ Google Scholar

  • [6] Michel, J., Shen, Y.K., Aiden, A.P., Veres, A., Gray, M.K., the Google Books Team, et al., Quantitative analysis of culture using millions of digitized books, Science, 331, 176-1812, 2011, DOI: 10.1126/science.1199644 Web of ScienceCrossrefGoogle Scholar

  • [7] Richards, J., Tudhope, D., Vlachidis, A., Text Mining in archaeology: extracting information from archaeological reports, In: Barceló, J.A., Bogdanovic, I., (Eds.), Mathematics in archaeology, Science Publishers, Boca Raton, Florida, (in press) Google Scholar

  • [8] Jeffrey, S., Richards, J.D., Ciravegna, F., Waller, S., Chapman, S., Zhang, Z., The Archaeotools project: faceted classification and natural language processing in an archaeological context. In: Coveney P., (Ed), Crossing boundaries: computational science, e-Science and global e-infrastructures, Philosophical Transactions of the Royal Society A, 2009, 367, 2507-2519. Web of ScienceGoogle Scholar

  • [9] Tudhope, D., May, K., Binding, C., Vlachidis, A., Connecting archaeological data and grey literature via semantic cross search, Internet Archaeology 2011, 30, DOI: 10.11141/ia.30.5 CrossrefGoogle Scholar

  • [10] Baral, C., Chancellor, K., Tran, N., Tran, N.L., Joy, A, Berens, M., A knowledge based approach for representing and reasoning about signaling networks, Bioinformatics 2004, 20, no. suppl 1 (2004), i15-i22. Google Scholar

  • [11] Tran, N., Baral, C., Nagaraj, V.J., Joshi, L., Knowledge-based framework for hypothesis formation in biochemical networks, Bioinformatics, 2005, 21, supplement 2, ii213–219. Google Scholar

  • [12] Howell, T.L., The archaeology and ethnohistory of Oak Wash, Zuni Indian Reservation, New Mexico, Zuni Cultural Resource Enterprise Report, 2000, 644, Zuni, New Mexico Google Scholar

  • [13] Clark, T.C., Assessing room function using unmodified faunal bone: a case study from east-central Arizona, Kiva, 1998, 64(1), 27–51. Google Scholar

  • [14] IBM What is Watson? 2014 http://www.ibm.com/smarterplanet/us/en/ibmwatson/what-is-watson.html Google Scholar

About the article

Received: 2014-12-19

Accepted: 2015-02-11

Published Online: 2015-03-21


Citation Information: Open Archaeology, ISSN (Online) 2300-6560, DOI: https://doi.org/10.1515/opar-2015-0004.

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© 2015 Keith W. Kintigh. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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