Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Other ORP type . 2017
License: CC BY
Data sources: Datacite
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Bio Crm: A Data Model For Representing Biographical Data For Prosopographical Research

Authors: Tuominen, Jouni; Hyvönen, Eero; Leskinen, Petri;

Bio Crm: A Data Model For Representing Biographical Data For Prosopographical Research

Abstract

Abstract of a poster in Biographical Data in a Digital World 2017 (BD2017), Linz, Austria, 6-7 November 2017. Biographies make a promising application case of Linked Data: they can be used, e.g., as a basis for Digital Humanities research in prosopography and as a key data and linking resource in semantic Cultural Heritage portals. In both use cases, a semantic data model for harmonizing and interlinking heterogeneous data from different sources is needed. We present such a data model, Bio CRM [1], with the following key ideas: 1) The model is a domain specific extension of CIDOC CRM, making it applicable to not only biographical data but to other Cultural Heritage data, too. 2) The model makes a distinction between enduring unary roles of actors, their enduring binary relationships, and perduring events, where the participants can take different roles modeled as a role concept hierarchy. 3) The model can be used as a basis for semantic data validation and enrichment by reasoning. 4) The enriched data conforming to Bio CRM is targeted to be used by SPARQL queries in flexible ways using a hierarchy of roles in which participants can be involved in events. Bio CRM provides the general data model for biographical datasets. The individual datasets concerning different cultures, time periods, or collected by different researchers may introduce extensions for defining additional event and role types. The Linked Data approach enables connecting the biographies to contextualizing information, such as the space and time of biographical events, related persons, historical events, publications, and paintings. Use cases for data represented using Bio CRM include prosopographical information retrieval, network analysis, knowledge discovery, and dynamic analysis. The development of Bio CRM was started in the EU COST project "Reassembling the Republic of Letters" [2] and it is being piloted in the case of enriching and publishing the printed register of over 10 000 alumni of the Finnish Norssi high school as Linked Data [3]. [1] http://seco.cs.aalto.fi/projects/biographies/ [2] http://www.republicofletters.net [3] Eero Hyvönen, Petri Leskinen, Erkki Heino, Jouni Tuominen and Laura Sirola: Reassembling and Enriching the Life Stories in Printed Biographical Registers: Norssi High School Alumni on the Semantic Web. Proceedings, Language, Technology and Knowledge 2017. June 19-20, Galway, Ireland, Springer-Verlag, 2017.

Project homepage: http://seco.cs.aalto.fi/projects/biographies/

Related Organizations
Keywords

Biographical representation, Event-based modeling, Prosopography, Linked Data, Data models, Role-centric modeling

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average