2 Search Results for "Sattler, Uli"

Document
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DOI: 10.4230/TGDK.1.1.5
Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities

Authors: Jiaoyan Chen, Hang Dong, Janna Hastings, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Škoda, and Valentina Tamma

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 1

Abstract
The term life sciences refers to the disciplines that study living organisms and life processes, and include chemistry, biology, medicine, and a range of other related disciplines. Research efforts in life sciences are heavily data-driven, as they produce and consume vast amounts of scientific data, much of which is intrinsically relational and graph-structured. The volume of data and the complexity of scientific concepts and relations referred to therein promote the application of advanced knowledge-driven technologies for managing and interpreting data, with the ultimate aim to advance scientific discovery. In this survey and position paper, we discuss recent developments and advances in the use of graph-based technologies in life sciences and set out a vision for how these technologies will impact these fields into the future. We focus on three broad topics: the construction and management of Knowledge Graphs (KGs), the use of KGs and associated technologies in the discovery of new knowledge, and the use of KGs in artificial intelligence applications to support explanations (explainable AI). We select a few exemplary use cases for each topic, discuss the challenges and open research questions within these topics, and conclude with a perspective and outlook that summarizes the overarching challenges and their potential solutions as a guide for future research.
Cite as

Jiaoyan Chen, Hang Dong, Janna Hastings, Ernesto Jiménez-Ruiz, Vanessa López, Pierre Monnin, Catia Pesquita, Petr Škoda, and Valentina Tamma. Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 5:1-5:33, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{chen_et_al:TGDK.1.1.5,
  author =	{Chen, Jiaoyan and Dong, Hang and Hastings, Janna and Jim\'{e}nez-Ruiz, Ernesto and L\'{o}pez, Vanessa and Monnin, Pierre and Pesquita, Catia and \v{S}koda, Petr and Tamma, Valentina},
  title =	{{Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{5:1--5:33},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.1.1.5},
  URN =		{urn:nbn:de:0030-drops-194791},
  doi =		{10.4230/TGDK.1.1.5},
  annote =	{Keywords: Knowledge graphs, Life science, Knowledge discovery, Explainable AI}
}
Document
DOI: 10.4230/DagRep.11.8.1
Extending the Synergies Between SAT and Description Logics (Dagstuhl Seminar 21361)

Authors: Joao Marques-Silva, Rafael Peñaloza, and Uli Sattler

Published in: Dagstuhl Reports, Volume 11, Issue 8 (2022)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 21361 "Extending the Synergies Between SAT and Description Logics". Propositional satisfiability (SAT) and description logics (DL) are two successful areas of computational logic where automated reasoning plays a fundamental role. While they share a common core (formalised on logic), the developments in both areas have diverged in their scopes, methods, and applications. The goal of this seminar was to reconnect the SAT and DL communities (understood in a broad sense) so that they can benefit from each other. The seminar thus focused on explaining the foundational principles, main results, and open problems of each area, and discussing potential avenues for collaborative progress.
Cite as

Joao Marques-Silva, Rafael Peñaloza, and Uli Sattler. Extending the Synergies Between SAT and Description Logics (Dagstuhl Seminar 21361). In Dagstuhl Reports, Volume 11, Issue 8, pp. 1-10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

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@Article{marquessilva_et_al:DagRep.11.8.1,
  author =	{Marques-Silva, Joao and Pe\~{n}aloza, Rafael and Sattler, Uli},
  title =	{{Extending the Synergies Between SAT and Description Logics (Dagstuhl Seminar 21361)}},
  pages =	{1--10},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2022},
  volume =	{11},
  number =	{8},
  editor =	{Marques-Silva, Joao and Pe\~{n}aloza, Rafael and Sattler, Uli},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.11.8.1},
  URN =		{urn:nbn:de:0030-drops-157661},
  doi =		{10.4230/DagRep.11.8.1},
  annote =	{Keywords: description logics, propositional satisfiability, reasoning services, standard and non-standard inferences}
}
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