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Tytuł artykułu

Further Frontiers in GIS: Extending Spatial Analysis to Textual Sources in Archaeology

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Although the use of Geographic Information Systems (GIS) has a long history in archaeology, spatial technologies have been rarely used to analyse the content of textual collections. A newly developed approach termed Geographic Text Analysis (GTA) is now allowing the semi-automated exploration of large corpora incorporating a combination of Natural Language Processing techniques, Corpus Linguistics, and GIS. In this article we explain the development of GTA, propose possible uses of this methodology in the field of archaeology, and give a summary of the challenges that emerge from this type of analysis.
Wydawca
Czasopismo
Rocznik
Tom
1
Numer
1
Opis fizyczny
Daty
otrzymano
2014-12-19
zaakceptowano
2015-03-31
online
2015-05-20
Twórcy
  • History & Archaeology Department, University of Chester
autor
  • History Department, University of Lancaster
Bibliografia
  • [1] L. Isaksen, ‘The application of network analysis to ancient transport geography: A case study of Roman Baetica’, DigitalMedievalist, vol. 4, 2008.
  • [2] J. Baker and S. Brookes, ‘Outside the gate: sub-urban legal practices in early medieval England’, World Archaeology, vol.45, no. 5, pp. 747–761, Dec. 2013, doi: 10.1080/00438243.2013.865330.[Crossref][WoS]
  • [3] S. Jeffrey, J. Richards, F. Ciravegna, S. Waller, S. Chapman, and Z. Zhang, ‘The Archaeotools project: faceted classificationand natural language processing in an archaeological context’, Philosophical Transactions of the Royal Society of LondonA: Mathematical, Physical and Engineering Sciences, vol. 367, no. 1897, pp. 2507–2519, Jun. 2009.[WoS]
  • [4] E. Barker, S. Bouzarovski, C. Pelling, L. Isaksen, ‘Mapping an ancient historian in a digital age: the Herodotus EncodedSpace-Text-Image Archive (HESTIA)’, Leeds International Classical Studies, vol. 9, no. 1, 2010.
  • [5] E. Barker, K. Byrne, L. Isanksen, E. Kansa, N. Rabinowitz, Google Ancient Places. (2012). at http://googleancientplaces.wordpress.com/2012/02/25/ the-story-continues/
  • [6] C. Grover, R. Tobin, K. Byrne, M. Woollard, J. Reid, S. Dunn, and J. Ball, ‘Use of the Edinburgh geoparser for georeferencingdigitized historical collections’, Phil. Trans. R. Soc. A, vol. 368, no. 1925, pp. 3875–3889, Aug. 2010.
  • [7] T. Harris, J. Corrigan, and D. Bodenhamer, ‘Challenges for the Spatial Humanities: Toward a Research Agenda’, in TheSpatial Humanities: GIS and the Future of Humanities Scholarship, Bloomington: Indiana University Press, 2010, pp.167–176.
  • [8] F. Moretti, Graphs, Maps, Trees: Abstract Models for Literary History. Verso, 2005.
  • [9] D. Cooper and I. Gregory, ‘Mapping the English Lake District: A literary GIS’, Transactions of the Institute of BritishGeographers, vol. 36, no. 1, pp. 89–108, 2011.[WoS]
  • [10] I. N. Gregory and A. Hardie, ‘Visual GISting: bringing together corpus linguistics and Geographical Information Systems’,Lit Linguist Computing, vol. 26, no. 3, pp. 297–314, Jan. 2011.
  • [11] P. Murrieta-Flores, A. Baron, I. Gregory, A. Hardie, and P. Rayson, ‘Automatically Analyzing Large Texts in a GISEnvironment: The Registrar General’s Reports and Cholera in the 19th Century’, Transactions in GIS, 2015, doi: 10.1111/tgis.12106.[Crossref]
  • [12] S. Adolphs, Introducing electronic text analysis. New York: Routledge, 2006.
  • [13] T. McEnery and A. Hardie, Corpus linguistics: method, theory and practice. Cambridge ; New York: Cambridge UniversityPress, 2012.
  • [14] M. Kulldorff, ‘A spatial scan statistic’, Communications in Statistics - Theory and Methods, vol. 26, no. 6, pp. 1481–1496,Jan. 1997.
  • [15] M. D. Eddy, ‘The prehistoric mind as a historical artefact’, Notes Rec. R. Soc., vol. 65, no. 1, pp. 1–8, Mar. 2011.[WoS]
  • [16] T. Hitchcock, ‘Confronting the Digital: Or How Academic History Writing Lost the Plot’, Cultural and Social History, vol. 10,no. 1, pp. 9–23, Mar. 2013.
  • [17] S. Tanner, T. Munoz, and P. Hemy Ros, ‘Measuring Mass Text Digitization Quality and Usefulness : Lessons Learned fromAssessing the OCR Accuracy of the British Library’s 19th Century Online Newspaper Archive’, Dlib Magazine, vol. 15, no.78, 2009.
  • [18] R. Tobin, C. Grover, K. Byrne, J. Reid & J. Walsh, Evaluation of georeferencing. in 1 (ACM Press, 2010).doi:10.1145/1722080.1722089[Crossref]
  • [19] C. J. Rupp, P. Rayson, I. Gregory, A. Hardie, A. Joulain, and D. Hartmann, ‘Dealing with heterogeneous big data whengeoparsing historical corpora’, 2014, pp. 80–83.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_1515_opar-2015-0010
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