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Auflistung nach Schlagwort "Life Sciences"

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  • Zeitschriftenartikel
    LIVIVO – the Vertical Search Engine for Life Sciences
    (Datenbank-Spektrum: Vol. 17, No. 1, 2017) Müller, Bernd; Poley, Christoph; Pössel, Jana; Hagelstein, Alexandra; Gübitz, Thomas
    The explosive growth of literature and data in the life sciences challenges researchers to keep track of current advancements in their disciplines. Novel approaches in the life science like the One Health paradigm require integrated methodologies in order to link and connect heterogeneous information from databases and literature resources. Current publications in the life sciences are increasingly characterized by the employment of trans-disciplinary methodologies comprising molecular and cell biology, genetics, genomic, epigenomic, transcriptional and proteomic high throughput technologies with data from humans, plants, and animals. The literature search engine LIVIVO empowers retrieval functionality by incorporating various literature resources from medicine, health, environment, agriculture and nutrition. LIVIVO is developed in-house by ZB MED – Information Centre for Life Sciences. It provides a user-friendly and usability-tested search interface with a corpus of 55 Million citations derived from 50 databases. Standardized application programming interfaces are available for data export and high throughput retrieval. The search functions allow for semantic retrieval with filtering options based on life science entities. The service oriented architecture of LIVIVO uses four different implementation layers to deliver search services. A Knowledge Environment is developed by ZB MED to deal with the heterogeneity of data as an integrative approach to model, store, and link semantic concepts within literature resources and databases. Future work will focus on the exploitation of life science ontologies and on the employment of NLP technologies in order to improve query expansion, filters in faceted search, and concept based relevancy rankings in LIVIVO.
  • Konferenzbeitrag
    Nutzerzentrierte Entwicklung einer Suche für den Life-Science-Bereich
    (Mensch & Computer 2012: interaktiv informiert – allgegenwärtig und allumfassend!?, 2012) Hamann, Sonja; Weinhold, Thomas; Bekavac, Bernard; Streiff, Daniel
    Suchmaschinen wie Google oder Bing setzen heutzutage den Standard bzgl. der Bedienung von Recherchewerkzeugen im Internet. Eine Herausforderung bei der Entwicklung von Suchinstrumenten für spezifische Domänen respektive für Fachdatenbanken ist darin zu sehen, dass die einfache und intuitive Bedienbarkeit von Websuchmaschinen für gewöhnlich nicht unmittelbar auf professionelle Recherchewerkzeuge übertragen werden kann. Dies begründet sich durch den Umstand, dass Anwender bei professionellen Recherchen oftmals deutlich komplexere Informationsbedürfnisse aufweisen und zudem in der Regel auch die Vollständigkeit des Ergebnisraumes von größerer Bedeutung ist. Folgender Beitrag illustriert die iterative, nutzerzentrierte Entwicklung eines komplexen, modular aufgebauten Suchsystems zur professionellen Recherche in Businessdaten aus dem Life-Science-Bereich. Im Vordergrund stehen dabei die Ergebnisse aus mehreren nutzerbasierten Evaluationen, auf deren Basis letztendlich die getroffenen Designentscheidungen für die entwickelte Suchkomponente begründet und erläutert werden.
  • Konferenzbeitrag
    Semantic Search for Biological Datasets: A Usability Study on Modes of Querying and Explaining Search Results
    (BTW 2023, 2023) Löffler, Felicitas; Shafiei, Fateme; Witte, René; König-Ries, Birgitta; Klan, Friederike
    Dataset 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.