Search (3 results, page 1 of 1)

  • × theme_ss:"Information Gateway"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Müller, B.; Poley, C.; Pössel, J.; Hagelstein, A.; Gübitz, T.: LIVIVO - the vertical search engine for life sciences (2017) 0.04
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    Abstract
    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.
  2. Doerr, M.; Gradmann, S.; Hennicke, S.; Isaac, A.; Meghini, C.; Van de Sompel, H.: ¬The Europeana Data Model (EDM) (2010) 0.04
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    Abstract
    The Europeana Data Model (EDM) is a new approach towards structuring and representing data delivered to Europeana by the various contributing cultural heritage institutions. The model aims at greater expressivity and flexibility in comparison to the current Europeana Semantic Elements (ESE), which it is destined to replace. The design principles underlying the EDM are based on the core principles and best practices of the Semantic Web and Linked Data efforts to which Europeana wants to contribute. The model itself builds upon established standards like RDF(S), OAI-ORE, SKOS, and Dublin Core. It acts as a common top-level ontology which retains original data models and information perspectives while at the same time enabling interoperability. The paper elaborates on the aforementioned aspects and the design principles which drove the development of the EDM.
  3. Keßler, K.; Krüger, A.T.; Ghammad, Y.; Wulle, S.; Balke, W.-T.; Stump, K.: PubPharm - Der Fachinformationsdienst Pharmazie (2016) 0.00
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    Abstract
    Der Fachinformationsdienst (FID) Pharmazie verfolgt das Ziel, die Informationsinfrastruktur und die Literaturversorgung für die pharmazeutische Hochschulforschung nachhaltig zu verbessern. Das Projekt wird seit dem 1. Januar 2015 von der Deutschen Forschungsgemeinschaft gefördert. Eine Besonderheit stellt die Kooperation zwischen der Universitätsbibliothek Braunschweig und dem Institut für Informationssysteme (IfIS) der TU Braunschweig dar, wodurch aktuelle Forschung auf dem Gebiet der Informatik in die Implementierung innovativer FID-Dienste mündet. Im Zentrum des Projektes steht der nutzerzentrierte Aufbau einer erweiterbaren und personalisierbaren Informationsinfrastruktur. Das vom FID entwickelte Discovery System "PubPharm" zur pharmaziespezifischen Recherche basiert, als Weiterentwicklung des beluga-Systems der SUB Hamburg, auf der Open Source Software VuFind. Als Datengrundlage enthält es u.a. die Medline Daten, erweitert durch Normdaten, die unter anderem die Suche nach chemischen Strukturen erlauben. Gleichzeitig werden vom Institut für Informationssysteme innovative Suchmöglichkeiten basierend auf Narrativer Intelligenz untersucht und perspektivisch in das Retrieval des Discovery Systems eingebunden. Im Rahmen von sog. FID-Lizenzen bietet der FID Pharmazie Wissenschaftlern/innen Volltextzugriff auf pharmazeutische Fachzeitschriften. Bestandteil der Lizenzen ist das Recht zur Langzeitarchivierung. Bei deren technischer Umsetzung kooperiert der FID mit der TIB Hannover. Der FID Pharmazie koppelt seine Aktivitäten eng an die pharmazeutische Fachcommunity: unter anderem begleitet ein Fachbeirat die Entwicklungen. Im Rahmen der Öffentlichkeitsarbeit werden Nutzer/innen umfassend über die Angebote informiert, u.a. in Webcasts und im PubPharm Blog.