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Hunting Ancestors: A Unified Approach for Discovering Genealogical Information

Authors José João Almeida , Rui Castro Mendes



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Author Details

José João Almeida
  • Centro Algoritmi, Universidade do Minho, Portugal
  • Departamento de Informática, Campus de Gualtar, Universidade do Minho, Portugal
Rui Castro Mendes
  • Centro Algoritmi, Universidade do Minho, Portugal
  • Departamento de Informática, Campus de Gualtar, Universidade do Minho, Portugal

Cite AsGet BibTex

José João Almeida and Rui Castro Mendes. Hunting Ancestors: A Unified Approach for Discovering Genealogical Information. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 22:1-22:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/OASIcs.SLATE.2019.22

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.

Subject Classification

ACM Subject Classification
  • Software and its engineering → Domain specific languages
  • Software and its engineering → Scripting languages
  • Theory of computation → Constraint and logic programming
Keywords
  • Genealogy
  • Domain Specific Language
  • Temporal Constraints

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References

  1. Tomaž Kosar, Sudev Bohra, and Marjan Mernik. Domain-specific languages: a systematic mapping study. Information and Software Technology, 71:77-91, 2016. Google Scholar
  2. Tomaž Kosar, Nuno Oliveira, Marjan Mernik, Varanda João Maria Pereira, Matej Črepinšek, Cruz Daniela Da, and Rangel Pedro Henriques. Comparing general-purpose and domain-specific languages: An empirical study. Computer Science and Information Systems, 2010. Google Scholar
  3. Philippe Laborie and Jerome Rogerie. Reasoning with Conditional Time-Intervals. In FLAIRS conference, pages 555-560, 2008. Google Scholar
  4. J.B. Lamy. Owlready: Ontology-oriented programming in Python with automatic classification and high level constructs for biomedical ontologies. In Artificial Intelligence In Medicine, volume 80, pages 11-28, 2017. Google Scholar
  5. Markus Triska. The Finite Domain Constraint Solver of SWI-Prolog. In FLOPS, volume 7294 of LNCS, pages 307-316, 2012. Google Scholar
  6. Dongrui Wu and Jerry M. Mendel. Uncertainty measures for interval type-2 fuzzy sets. Information Sciences, 177(23):5378-5393, 2007. Including: Mathematics of Uncertainty. URL: http://dx.doi.org/10.1016/j.ins.2007.07.012.
  7. Ran Zhao, Quang Xuan Do, and Dan Roth. A robust shallow temporal reasoning system. In Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstration Session, pages 29-32. Association for Computational Linguistics, 2012. Google Scholar
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