XVIth International Conference of the Association for History and Computing, Amsterdam, the Netherlands, 14-17th September 2005

Archived website of the XVIth International Conference of the Association for History and Computing, Amsterdam, the Netherlands, 14-17th September 2005.

The XVIth Conference of the international AHC aims to bring together specialists from three broad streams:

- Scholars, using computers in historical and related studies (history of art, archaeology, literary studies, etc.)
 - Information and computing scientists, working in the domain of cultural heritage and the humanities 
- Professionals, working in cultural heritage institutes (archives, libraries, museums) who use ICT to preserve and give access to their collections

The subject matter of the conference is primarily oriented at methodological issues, and not restricted to one particular domain within historical sciences and the humanities. Preferably, sessions will consist of a mix of these three interest groups and fields. There will be numerous cross links between the streams.

Topics for sessions and papers include: - Data access, retrieval and presentation: Data bases in historical/humanities research;
 - Data mining, data harvesting and data syndication; 
- Digital data archives & longevity of digital heritage; 
- Personalization and presentation of heritage information; 
- Virtual libraries and virtual collaboratories in the humanities;
 - Enriching data: Digital source editions; Knowledge enrichment and encoding methods; 
- Metadata standards and semantic interoperability for access to cultural heritage; 
- Images & multimedia: Image analysis and visual culture; 
- Content based and other image retrieval methods; 
- Digital photo/image/video collections;
 - Digital museums; 
- Geographical Information Systems: GIS Applications in the humanities and historical studies; 
- GIS methods and techniques; GIS for access to heritage information; - Qualitative & Quantitative data analysis: Advanced statistics in historical research; 
- Models and simulations;
 - Exploratory analysis and visualization techniques - Digitization of heritage information: Large digitization projects of historical sources; 
- Optical character and document recognition for historical materials; 
- Handwriting recognition and script analysis tools 
- Text analysis and retrieval: Applications of text analysis in the humanities; 
- Methodological issues of text mining and text analysis; 
- Digital text archives 
- Theoretical, methodological and educational issues: e-Science, e-Humanities and e-History;
 - Historiography of humanities computing; 
- Educational issues

Low Countries Organization Committee: 
- Onno Boonstra (Humanities computing, University of Nijmegen) 
- Leen Breure (Computer and Information Science, University of Utrecht) 
- Peter Doorn (NIWI - Netherlands Institute for Scientific Information Services, Amsterdam) - Jaap van den Herik (Computer Science, Universities of Leiden and Limburg) - Bart de Nil (Amsab - Institute for Social History, Gent, Belgium) 
- Paula Witkamp (European Commission on Preservation and Access, Amsterdam)

Organizing institutions: 
- Netherlands Institute for Scientific Information Services (NIWI) 
- Royal Netherlands Academy of Arts and Sciences (KNAW) 
- Vereniging voor Geschiedenis en Informatica (VGI) 
- The Association for History and Computing (AHC) 
- Dutch Research School for Information and Knowledge Systems (SIKS)

Identifier
DOI https://doi.org/10.17026/dans-xu8-mj9d
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-2z4-mwf
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:34185
Provenance
Creator Data Archiving and Networked Services (DANS)
Publisher Data Archiving and Networked Services (DANS)
Contributor Yamit Gutman; Annelies van Nispen; Berry Feith; DANS
Publication Year 2010
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/licenses/by/4.0; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format pdf
Discipline Ancient Cultures; Archaeology; Geography; Geosciences; Geospheric Sciences; History; Humanities; Natural Sciences