Digging Archaeology Data: Image Search and Markup (DADAISM)

The DADAISM project brought together researchers from the diverse fields of archaeology, human computer interaction, image processing, image search and retrieval, and text mining to create a rich interactive system to address the problems of researchers finding images relevant to their research. In the age of digital photography, thousands of images are taken of archaeological artefacts. These images could help archaeologists enormously in their tasks of classification and identification if they could be related to one another effectively. However, these images are currently greatly underutilised for two key reasons. Firstly, the current paradigm for interaction with image collections is basic keyword search or, at best, simple faceted search, thus it is difficult to translate the artefact seen by the researcher into the system. Secondly, even if these interactions are possible, the metadata related to the majority of images of archaeological artefacts is scarce in information relating to the content of the image and the nature of the artefact, and is time intensive to enter manually

Named entity recognition and resolution for literary studies

This paper reports on the project Namescape: Mapping the Landscape of Names in Modern Dutch Literature, funded by CLARIN-NL. The background of the project is research in literary onomastics, the study of the usage and functions of proper names in literary (i.e. ctional) texts. The two main tasks for the project were to adapt existing Named Entity Recognition software to modern Dutch ction, and to perform Named Entity Resolution by linking the names to Wikipedia entries. For Named Entity Recognition, existing tools have been trained on literary texts and a new NE tagger has been developed. The standard list of name categories had to be extended, since the analysis of the usage of proper names in literature needs to distinguish e.g. between rst names and family names. The Named Entity Resolution task was done to explore the possibility of labeling the names in ction in another way, by categorizing a name as referring to a person or location that only exist in the story of a ctional work (plot-internal names), or one referring to a person or location in the real world (plot-external names). This distinction is linked to the hypothesis that plot-internal and plot-external names can have dierent (stylistic and narrative) functions. Automatically marking them up is the rst step toward testing that hypothesis on a large corpus. In this paper we describe the results of these two main tasks