ICT for Genealogical Data
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2800
Special Issue Editors
Interests: open data; data visualization; data science; web applications; cartographic mapping techniques
Special Issues, Collections and Topics in MDPI journals
Interests: data science; data narrative; web applications; machine learning; cultural heritage; tourism
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The building of genealogical trees has become a popular activity carried out by millions of people, including both hobbyists and scholars. Thanks to the online publication of local official registries of births, marriages, and deaths, new scenarios and perspectives have been opened to enrich genealogical family trees. On the one hand, there are many potentialities given by the huge volume of data, such as the building of very complex genealogical trees covering many centuries of history. On the other hand, the management of large genealogical trees also involves new challenges in the collection, quality, accuracy, storage, querying, analysis, and visualization of genealogical data. This Special Issue calls for research articles on novel approaches to genealogical data management. Both conceptual and practical papers describing challenges and perspectives are also welcome. Original contributions that report on real experiences and scenarios in the usage of any kind of genealogical data are also encouraged. While not excluding the possibility of presenting works on other topics regarding ICT for genealogical data, the specific topics of interest in this Special Issue are the following:
- Named entity recognition and linking to extract genealogical data from documents;
- Handwritten recognition of structured or semi-structured registries of births, marriages and deaths;
- Data storage and efficient queries of large genealogical trees;
- Quality issues and techniques to improve the accuracy of genealogical data, such as data cleaning;
- Reconciliation of different genealogical data sources;
- Copyright issues related to the publication and use of genealogical trees;
- Machine learning and deep learning analysis of genealogical data;
- Issues, challenges, and solutions related to the visualization of a genealogical tree;
- Analysis of new sources of potential genealogical data including social networks;
- Use of big genealogical data to study social phenomena, including migration, social changes, educational levels, wars, epidemics, natural disasters and so on;
- Use of big genealogical data for pathological studies, such as the transmission of genetic diseases, familiarity in diseases, and so on.
Dr. Andrea Marchetti
Dr. Angelica Lo Duca
Guest Editors
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Keywords
- genealogical data
- family tree
- genealogical data mining
- genealogical data analysis
- genealogical data visualization
- open data
- social science
- genealogical data linking
- digital humanities
- knowledge graph
- information visualization
- genealogical data format
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