• DocumentCode
    3404029
  • Title

    Integrating archaeological literature into resource discovery interfaces using natural language processing and name authority services

  • Author

    Jeffrey, S. ; Richards, J. ; Ciravegna, F. ; Waller, S. ; Chapman, S. ; Zhang, Z.

  • Author_Institution
    Dept. of Archaeology, Univ. of York, York, UK
  • fYear
    2009
  • fDate
    9-11 Dec. 2009
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    There exists a large and underutilized resource of archaeological literature, both formal, such as scholarly journals and less formal in the form of `grey literature´. In the archaeological domain the vast majority of this literature contains some geo-spatial element as well as the expected temporal information and therefore its ease of discovery would be greatly enhanced were it accessible via a geo-spatially enabled search mechanism. As a result of this, geo-referencing these types of material and integrating them with other resources, such as monument inventories, is seen as a desirable enhancement for digital archives serving the archaeological research community. This paper provides an overview of a number of the approaches to the integration of such legacy literature into geospatial search mechanisms in an archaeological context. In particular efforts to achieve this via the Archaeotools e-Science project and its use of natural language processing and a geo-spatial cross-walk service are discussed as well as potential future enhancements to the process.
  • Keywords
    archaeology; information retrieval; natural language processing; Archaeotools e-science project; archaeological literature; archaeological research community; digital archive; georeferencing; geospatial cross-walk service; geospatial search mechanism; grey literature; legacy literature; monument inventory; name authority service; natural language processing; resource discovery interface; scholarly journal; Cities and towns; Computer science; Conferences; Data mining; Education; Local government; Natural language processing; Nuclear magnetic resonance; Potential well;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Science Workshops, 2009 5th IEEE International Conference on
  • Conference_Location
    Oxford
  • Print_ISBN
    978-1-4244-5946-9
  • Type

    conf

  • DOI
    10.1109/ESCIW.2009.5407967
  • Filename
    5407967