Laura Ann Slaughter

• Røst, Thomas Brox; Slaughter, Laura; Nytrø, Øystein; Muller, Ashley Elizabeth & Vist, Gunn Elisabeth (2021). Using neural networks to support high-quality evidence mapping. BMC Bioinformatics. ISSN 1471-2105. 22. doi: 10.1186/s12859-021-04396-x. Full text in Research Archive
• Slaughter, Laura Ann; da Costa, Luis Morgado; Miyagawa, So; Büchler, Marco; Zeldes, Amir & Lundhaug, Hugo [Show all 7 contributors for this article] (2020). The making of Coptic wordnet. Proceedings of the 10th Global Wordnet Conference. p. 166–175.
• Vega-Gorgojo, Guillermo; Slaughter, Laura; Zernichow, Bjørn Marius von; Nikolov, Nikolay & Roman, Dumitru (2019). Linked Data Exploration With RDF Surveyor. IEEE Access. ISSN 2169-3536. 7, p. 172199–172213. doi: 10.1109/ACCESS.2019.2956345. Full text in Research Archive Show summary

  Linked Data exploration is an essential task in the process of understanding, assessing, and using datasets made available in the Resource Description Framework (RDF) format. Current solutions for exploration of RDF data are mainly targeted at Semantic Web experts, require non-trivial deployments, and do not scale to the increasing amounts of data published in RDF. The lack of simple, intuitive, and efficient solutions for exploring RDF data, especially for lay users, is the main motivation behind the work presented in this paper. We propose RDF Surveyor, an easy-to-use and lightweight tool for exploring RDF datasets. Its visual interface hides the intricacies of Semantic Web technologies from the user, while providing intuitive overviews of datasets, class navigation, and visualization of class instances. Furthermore, RDF Surveyor does not require any installation and can handle large datasets such as DBpedia. We provide a detailed overview of RDF Surveyor and illustrate its capabilities in two different scenarios. We also analyze the uptake, performance and usability of RDF Surveyor, showing its suitability for exploring Linked Data at scale.

• Vega-Gorgojo, Guillermo; Slaughter, Laura & Giese, Martin (2019). Seeing the whole picture: Integrated pre-surgery reports with PreOptique. Journal of Biomedical Semantics. ISSN 2041-1480. 10(1). doi: 10.1186/s13326-019-0197-1. Full text in Research Archive
• Vega-Gorgojo, Guillermo; Giese, Martin & Slaughter, Laura (2017). Exploring semantic datasets with RDF surveyor. CEUR Workshop Proceedings. ISSN 1613-0073. 1963, p. 1–4.
• Vega-Gorgojo, Guillermo; Slaughter, Laura; Giese, Martin; Heggestøyl, Simen; Kluwer, Johan Wilhelm & Waaler, Arild (2016). Pepesearch: Easy to use and easy to install semantic data search. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 9989 LNCS, p. 146–150. doi: 10.1007/978-3-319-47602-5_29.
• Vega-Gorgojo, Guillermo; Slaughter, Laura; Giese, Martin; Heggestøyl, Simen; Soylu, Ahmet & Waaler, Arild (2016). Visual query interfaces for semantic datasets: An evaluation study. Journal of Web Semantics. ISSN 1570-8268. 39, p. 81–96. doi: 10.1016/j.websem.2016.01.002.

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• Jimenez-Ruiz, Ernesto; Hovland, Dag; Slaughter, Laura; Håndstad, Tony & Waaler, Arild (2017). On adopting ontology alignment techniques within the phenotype acquisition process. CEUR Workshop Proceedings. ISSN 1613-0073. 2042, p. 1–2.
• Vega-Gorgojo, Guillermo & Slaughter, Laura (2016). Easy-to-use semantic search of pharmacological data.
• Khodambashi, Soudabeh; Slaughter, Laura & Nytrø, Øystein (2015). Computer-interpretable clinical guidelines: a review and analysis of evaluation criteria for authoring methods. Studies in Health Technology and Informatics. ISSN 0926-9630. 216, p. 954–954. doi: 10.3233/978-1-61499-564-7-954.

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