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Documents authored by Hastings, Janna

Artifact
Software
DOI: 10.4230/artifacts.22530
Horned-OWL

Authors: Phillip Lord, Björn Gehrke, Martin Larralde, Janna Hastings, Filippo De Bortoli, James A. Overton, James P. Balhoff, and Jennifer Warrender

Abstract
Cite as

Phillip Lord, Björn Gehrke, Martin Larralde, Janna Hastings, Filippo De Bortoli, James A. Overton, James P. Balhoff, Jennifer Warrender. Horned-OWL (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@misc{dagstuhl-artifact-22530,
   title = {{Horned-OWL}}, 
   author = {Lord, Phillip and Gehrke, Bj\"{o}rn and Larralde, Martin and Hastings, Janna and De Bortoli, Filippo and Overton, James A. and Balhoff, James P. and Warrender, Jennifer},
   note = {Software (visited on 2024-12-18)},
   url = {https://github.com/phillord/horned-owl},
   doi = {10.4230/artifacts.22530},
}
Document
Resource Paper
DOI: 10.4230/TGDK.2.2.9
Horned-OWL: Flying Further and Faster with Ontologies

Authors: Phillip Lord, Björn Gehrke, Martin Larralde, Janna Hastings, Filippo De Bortoli, James A. Overton, James P. Balhoff, and Jennifer Warrender

Published in: TGDK, Volume 2, Issue 2 (2024): Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 2, Issue 2

Abstract
Horned-OWL is a library implementing the OWL2 specification in the Rust language. As a library, it is aimed at processes and manipulation of ontologies, rather than supporting GUI development; this is reflected heavily in its design, which is for performance and pluggability; it builds on the Rust idiom, treating an ontology as a standard Rust collection, meaning it can take direct advantage of the data manipulation capabilities of the Rust standard library. The core library consists of a data model implementation as well as an IO framework supporting many common formats for OWL: RDF, XML and the OWL functional syntax; there is an extensive test library to ensure compliance to the specification. In addition to the core library, Horned-OWL now supports a growing ecosystem: the py-horned-owl library provides a Python front-end for Horned-OWL, ideal for scripting ontology manipulation; whelk-rs provides reasoning services; and horned-bin provides a number of command line tools. The library itself is now mature, supporting the entire OWL2 specification, in addition to SWRL rules, and the ecosystem is emerging into one of the most extensive for manipulation of OWL ontologies.
Cite as

Phillip Lord, Björn Gehrke, Martin Larralde, Janna Hastings, Filippo De Bortoli, James A. Overton, James P. Balhoff, and Jennifer Warrender. Horned-OWL: Flying Further and Faster with Ontologies. In Special Issue on Resources for Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 2, pp. 9:1-9:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{lord_et_al:TGDK.2.2.9,
  author =	{Lord, Phillip and Gehrke, Bj\"{o}rn and Larralde, Martin and Hastings, Janna and De Bortoli, Filippo and Overton, James A. and Balhoff, James P. and Warrender, Jennifer},
  title =	{{Horned-OWL: Flying Further and Faster with Ontologies}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{9:1--9:14},
  ISSN =	{2942-7517},
  year =	{2024},
  volume =	{2},
  number =	{2},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.2.9},
  URN =		{urn:nbn:de:0030-drops-225932},
  doi =		{10.4230/TGDK.2.2.9},
  annote =	{Keywords: Web Ontology Language, OWL, Semantic Web}
}
Document
Position
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.5.7.42
Digital Scholarship and Open Science in Psychology and the Behavioral Sciences (Dagstuhl Perspectives Workshop 15302)

Authors: Alexander Garcia Castro, Janna Hastings, Robert Stevens, and Erich Weichselgartner

Published in: Dagstuhl Reports, Volume 5, Issue 7 (2016)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 15302 "Perspectives Workshop: Digital Scholarship and Open Science in Psychology and the Behavioral Sciences". This workshop addressed the problem of facilitating the construction of an integrative digital scholarship and open science infrastructure in psychology and the behavioral sciences by utilizing the Web as an integrative platform for e-Science. A particular focus was on sharing research data and experiments to improve reproducibility. The participants presented first steps in this direction in their communities, and worked out an initial action plan for establishing digital scholarship and open science more broadly.
Cite as

Alexander Garcia Castro, Janna Hastings, Robert Stevens, and Erich Weichselgartner. Digital Scholarship and Open Science in Psychology and the Behavioral Sciences (Dagstuhl Perspectives Workshop 15302). In Dagstuhl Reports, Volume 5, Issue 7, pp. 42-68, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@Article{garciacastro_et_al:DagRep.5.7.42,
  author =	{Garcia Castro, Alexander and Hastings, Janna and Stevens, Robert and Weichselgartner, Erich},
  title =	{{Digital Scholarship and Open Science in Psychology and the Behavioral Sciences (Dagstuhl Perspectives Workshop 15302)}},
  pages =	{42--68},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2016},
  volume =	{5},
  number =	{7},
  editor =	{Garcia Castro, Alexander and Hastings, Janna and Stevens, Robert and Weichselgartner, Erich},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.5.7.42},
  URN =		{urn:nbn:de:0030-drops-56721},
  doi =		{10.4230/DagRep.5.7.42},
  annote =	{Keywords: Digital Scholarship, Open Science, Psychology, Behavioral Sciences, e-Science}
}
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