License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.SLATE.2019.22
URN: urn:nbn:de:0030-drops-108890
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10889/
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Almeida, José João ; Mendes, Rui Castro

Hunting Ancestors: A Unified Approach for Discovering Genealogical Information

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OASIcs-SLATE-2019-22.pdf (0.3 MB)


Abstract

This paper presents an unified approach for discovering genealogical information. It presents a frameworks for storing information concerning ancestors, locations, dates and documents. It also intends to provide a framework that is able to perform inference concerning dates by using constraints and for handling relations, locations and sources. The DSL presented also aims to help users store information from heterogeneous sources along with the evidence contained therein.

BibTeX - Entry

@InProceedings{almeida_et_al:OASIcs:2019:10889,
  author =	{Jos{\'e} Jo{\~a}o Almeida and Rui Castro Mendes},
  title =	{{Hunting Ancestors: A Unified Approach for Discovering Genealogical Information}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{22:1--22:6},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Ricardo Rodrigues and Jan Janousek and Lu{\'\i}s Ferreira and Lu{\'\i}sa Coheur and Fernando Batista and Hugo Gon{\c{c}}alo Oliveira},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10889},
  URN =		{urn:nbn:de:0030-drops-108890},
  doi =		{10.4230/OASIcs.SLATE.2019.22},
  annote =	{Keywords: Genealogy, Domain Specific Language, Temporal Constraints}
}

Keywords: Genealogy, Domain Specific Language, Temporal Constraints
Collection: 8th Symposium on Languages, Applications and Technologies (SLATE 2019)
Issue Date: 2019
Date of publication: 24.07.2019


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