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Semantic Search for Biological Datasets: A Usability Study on Modes of Querying and Explaining Search Results

dc.contributor.authorLöffler, Felicitas
dc.contributor.authorShafiei, Fateme
dc.contributor.authorWitte, René
dc.contributor.authorKönig-Ries, Birgitta
dc.contributor.authorKlan, Friederike
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T14:00:08Z
dc.date.available2023-02-23T14:00:08Z
dc.date.issued2023
dc.description.abstractDataset discovery is a frequent task in daily research practice, yet studies are missing that explore the usability of user interfaces (UI) in data portals. In particular, very few user studies exist that analyze whether particular elements in the user interface are useful for search tasks. We aim to address those needs for more specific usability evaluations in dataset search. In this work, wepresent a flexible semantic search over biological datasets with two user interfaces. The search result contains semantically related terms, such as synonyms or more specific terms, obtained from domain ontologies. We evaluated the system in a user study with 20 scholars. We focused on two components, the query input to explore a search in categories (entity types) in comparision to a single input field, and we analyzed textual highlightings in the returned datasets to study whether users are distracted by semantic information such as URIs. Our results show that users prefer interfaces with a single input field for search tasks they are not familiar with, and that users appreciate explanations with terminologies and URIs.en
dc.identifier.doi10.18420/BTW2023-56
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40364
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectDataset Search
dc.subjectSemantic Search
dc.subjectBiodiversity
dc.subjectLife Sciences
dc.subjectUser Interface
dc.subjectUsability
dc.titleSemantic Search for Biological Datasets: A Usability Study on Modes of Querying and Explaining Search Resultsen
dc.typeText/Conference Paper
gi.citation.endPage864
gi.citation.publisherPlaceBonn
gi.citation.startPage851
gi.conference.date06.-10. März 2023
gi.conference.locationDresden, Germany

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