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- ZeitschriftenartikelEditorial(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Henrich, Andreas; Blank, Daniel; Lewandowski, Dirk; Härder, Theo
- ZeitschriftenartikelOptimierung der Onsite-Suche am Beispiel von otto.de(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Vogt, Arne; Quelle-Korting, TobiasDie Qualität der Produktsuchergebnisse ist aus Unternehmenssicht ein wesentlicher Einflussfaktor auf die Umsatz- und Ergebnisströme. Ziel dieses Beitrags ist die Darstellung einer Methodik, mit der den Herausforderungen der Messung und Steigerung der Qualität von Suchergebnissen im E‑Commerce begegnet werden kann. Hierzu wird ein Modell zur automatisierten Bewertung von Suchqualität vorgestellt, das auf einer Kombination aus menschlichen Qualitätsurteilen und Web-Analytics-Kennzahlen basiert. Der zweite Teil des Beitrags beschäftigt sich mit einem systematischen Optimierungsprozess der Suchergebnisqualität über Problemcluster, dem dieses Bewertungsmodell als Basis dient.
- ZeitschriftenartikelSearch Engine for Children: User-Centered Design(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Gossen, Tatiana; Kotzyba, Michael; Nürnberger, AndreasChildren are a fast growing user group on the Internet. Among different online activities, children use web search engines in order to gather information related to their personal interests and school activities. Children’s knowledge, cognitive abilities and fine motor skills are different from those of adults. Therefore, they may experience difficulties with search engines that are built using standard information retrieval algorithms and search interfaces for adults. Special or targeted search engines for children are essential in order to better support children in their search tasks. However, the design of search solutions for children is not an easy task. Not only are children’s abilities different from the abilities of adults, children also undergo relatively fast changes in their abilities. In order to tackle this challenge, an age-adaptable information terminal for children with a special focus on the search user interface (SUI) has been developed in three stages following a user-centered design. Specifically, it addresses the changing characteristics of the users by providing a means of adaptation. Several user studies have been conducted with children during the development to ensure the usability of the information terminal.
- ZeitschriftenartikelPubPsych: A Powerful Research Tool Providing Access to a Broad Supranational Body of Psychological Knowledge(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Weichselgartner, Erich; Baier, Christiane; Ramthun, RolandIn the scientific domain, millions of research papers in many different languages are published throughout the globe every year. This causes not only information overload, but because of the language barrier, researchers might not understand or even find articles that could be relevant for their work. Therefore, in the field of psychology, the Leibniz Institute for Psychology Information (ZPID) and its partners have created PubPsych (https://www.pubpsych.eu/), an open access vertical search engine for psychological literature, tests, treatment programs and research data (metadata, not the content itself). We discuss the motivation for creating the system, design decisions, connected problems and our solutions, especially concerning multilingual information.
- ZeitschriftenartikelNews(Datenbank-Spektrum: Vol. 17, No. 1, 2017)
- ZeitschriftenartikelDas Fachgebiet „Informationssysteme“ am Hasso-Plattner-Institut(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Naumann, Felix; Krestel, RalfDas Hasso-Plattner-Institut (HPI) ist ein privat finanziertes Institut an der Universität Potsdam. Stifter ist Professor Hasso Plattner, Mitgründer und Aufsichtsratsvorsitzender des Software-Konzerns SAP. Das Fachgebiet Informationssysteme, das von Prof. Dr. Felix Naumann geleitet wird, beschäftigt sich mit dem effizienten und effektiven Umgang mit heterogenen Daten und Texten. Gegründet wurde das Fachgebiet 2006 und bietet derzeit 12 Doktoranden und circa 15 Masterstudenten eine Forschungsumgebung.
- ZeitschriftenartikelLIVIVO – the Vertical Search Engine for Life Sciences(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Müller, Bernd; Poley, Christoph; Pössel, Jana; Hagelstein, Alexandra; Gübitz, ThomasThe 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.
- ZeitschriftenartikelDissertationen(Datenbank-Spektrum: Vol. 17, No. 1, 2017)
- ZeitschriftenartikelSABIO-RK, von Daten in der Publikation zur Suchlösung für Spezialisten(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Müller, Wolfgang; Bittkowski, Meik; Golebiewski, Martin; Kania, Renate; Rey, Maja; Weidemann, Andreas; Wittig, UlrikeSABIO-RK ist eine Datenbank, in der Spezialisten aus der Systembiologie Daten aus biochemischen Publikationen suchen, finden, und in geeigneten Formaten extrahieren können. Der Artikel beschreibt, wie Kuratierung durch Experten, standardisierte Struktur, flexible Suche und einfacher Datenexport ineinandergreifen, um den Informationsbedarf der Nutzer zu befriedigen.
- ZeitschriftenartikelMachine Learning Meets Databases(Datenbank-Spektrum: Vol. 17, No. 1, 2017) Günnemann, StephanMachine Learning has become highly popular due to several success stories in data-driven applications. Prominent examples include object detection in images, speech recognition, and text translation. According to Gartner’s 2016 Hype Cycle for Emerging Technologies, Machine Learning is currently at its peak of inflated expectations, with several other application domains trying to exploit the use of Machine Learning technology. Since data-driven applications are a fundamental cornerstone of the database community as well, it becomes natural to ask how these fields relate to each other. In this article, we will therefore provide a brief introduction to the field of Machine Learning, we will discuss its interplay with other fields such as Data Mining and Databases, and we provide an overview of recent data management systems integrating Machine Learning functionality.