What are the possibilities of Semantic Web technologies for organizations which traditionally have lots of structured data, such as metadata, available? A library is such a particular organization. We mapped a digital library’s descriptive (bibliographic) metadata for a large historical document collection encoded in MARC21 to a historical ontology using an out-of-the-box ontology, existing top...

Greetings to the JACMP Community! In search of inspiration for my inaugural editorial of my second round as Editor-in-Chief of the JACMP, I looked at some historical documents for guidance. The idea for an open-access journal (that term did not exist at the time) was first discussed as I remember in November of 1997. Ann Wright had mentioned to me, in an almost offhanded way, that it would be v...

The Nazis were able to capitalize on this authoritarian conception, just as they were able to play on the differences between the more conventionally authoritarian and scientific supporters of racial hygiene and the radical anti-Semites and racists. Just as Weindling provides a more complex understanding of the German Sonderweg, so he demonstrates that the most extreme Nazi measures of forced s...

Humanities scholars increasingly rely on digital archives for their research instead of time-consuming visits to physical archives. This shift in research method has the hidden cost of working with digitally processed historical documents: how much trust can a scholar place in noisy representations of source texts? In a series of interviews with historians about their use of digital archives, w...

This paper examines the effects of strategic alliances on non-financial firms’ bank loan financing. We construct several measures to capture firms’ alliance activities using the frequency of alliance activities, the prominence of the alliance partner and the relative networking position in the overall alliance network. We find that firms with active alliance involvement experience a lower cost ...

We present richer typesetting models that extend the unsupervised historical document recognition system of BergKirkpatrick et al. (2013). The first model breaks the independence assumption between vertical offsets of neighboring glyphs and, in experiments, substantially decreases transcription error rates. The second model simultaneously learns multiple font styles and, as a result, is able to...

This paper explores a method for creating large-scale urban 3D models using Historical GIS data. The method is capable of automatically generating realistic VR models based on GIS data at a low cost. 3D models of houses are created from polygon data, fences from line data, and pedestrians and trees from point data. The method is applied to the Virtual Kyoto Project in which the landscape of the...

We analyzed historical and literary documents in Chinese to gain insights into research issues, and overview our studies which utilized four different sources of text materials in this paper. We investigated the history of concepts and transliterated words in China with the Database for the Study of Modern China Thought and Literature, which contains historical documents about China between 183...

Identifying the type of font (e.g., Roman, Blackletter) used in historical documents can help optical character recognition (OCR) systems produce more accurate text transcriptions. Towards this end, we present an activelearning strategy that can significantly reduce the number of labeled samples needed to train a font classifier. Our approach extracts image-based features that exploit geometric...