Search (11 results, page 1 of 1)

  • × author_ss:"Schaer, P."
  • × year_i:[2010 TO 2020}
  1. Schaer, P.: Integration von Open-Access-Repositorien in Fachportale (2010) 0.02 
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    Source
    Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
    Type
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  2. Posch, L.; Schaer, P.; Bleier, A.; Strohmaier, M.: ¬A system for probabilistic linking of thesauri and classification systems (2015) 0.00 
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    Abstract
    This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system. For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM) (Posch et al., in KI 2015: advances in artificial intelligence, 2015). PLL-TM identifies probable thesaurus descriptors for each class in the classification system by using information from the natural language text of documents, their assigned thesaurus descriptors and their designated classes. The links are then presented to users of the system in an interactive visualization, providing them with an automatically generated overview of the relations between the thesaurus and the classification system.
    Type
    a
  3. Balog, K.; Schuth, A.; Dekker, P.; Tavakolpoursaleh, N.; Schaer, P.; Chuang, P.-Y.: Overview of the TREC 2016 Open Search track Academic Search Edition (2016) 0.00 
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    Abstract
    We present the TREC Open Search track, which represents a new evaluation paradigm for information retrieval. It offers the possibility for researchers to evaluate their approaches in a live setting, with real, unsuspecting users of an existing search engine. The first edition of the track focuses on the academic search domain and features the ad-hoc scientific literature search task. We report on experiments with three different academic search engines: Cite-SeerX, SSOAR, and Microsoft Academic Search.
    Type
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  4. Neumann, M.; Steinberg, J.; Schaer, P.: Web-ccraping for non-programmers : introducing OXPath for digital library metadata harvesting (2017) 0.00 
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    Abstract
    Building up new collections for digital libraries is a demanding task. Available data sets have to be extracted which is usually done with the help of software developers as it involves custom data handlers or conversion scripts. In cases where the desired data is only available on the data provider's website custom web scrapers are needed. This may be the case for small to medium-size publishers, research institutes or funding agencies. As data curation is a typical task that is done by people with a library and information science background, these people are usually proficient with XML technologies but are not full-stack programmers. Therefore we would like to present a web scraping tool that does not demand the digital library curators to program custom web scrapers from scratch. We present the open-source tool OXPath, an extension of XPath, that allows the user to define data to be extracted from websites in a declarative way. By taking one of our own use cases as an example, we guide you in more detail through the process of creating an OXPath wrapper for metadata harvesting. We also point out some practical things to consider when creating a web scraper (with OXPath). On top of that, we also present a syntax highlighting plugin for the popular text editor Atom that we developed to further support OXPath users and to simplify the authoring process.
    Type
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  5. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.00 
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    Abstract
    The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.
    Type
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  6. Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011) 0.00 
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    Abstract
    This paper is about a better understanding of the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-driven Digital Libraries. Three science model driven retrieval services are presented: co-word analysis based query expansion, re-ranking via Bradfordizing and author centrality. The services are evaluated with relevance assessments from which two important implications emerge: (1) precision values of the retrieval services are the same or better than the tf-idf retrieval baseline and (2) each service retrieved a disjoint set of documents. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. The proposed models and derived retrieval services therefore open up new viewpoints on the scientific knowledge space and provide an alternative framework to structure scholarly information systems.
    Type
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  7. Munkelt, J.; Schaer, P.; Lepsky, K.: Towards an IR test collection for the German National Library (2018) 0.00 
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    Abstract
    Automatic content indexing is one of the innovations that are increasingly changing the way libraries work. In theory, it promises a cataloguing service that would hardly be possible with humans in terms of speed, quantity and maybe quality. The German National Library (DNB) has also recognised this potential and is increasingly relying on the automatic indexing of their catalogue content. The DNB took a major step in this direction in 2017, which was announced in two papers. The announcement was rather restrained, but the content of the papers is all the more explosive for the library community: Since September 2017, the DNB has discontinued the intellectual indexing of series Band H and has switched to an automatic process for these series. The subject indexing of online publications (series O) has been purely automatical since 2010; from September 2017, monographs and periodicals published outside the publishing industry and university publications will no longer be indexed by people. This raises the question: What is the quality of the automatic indexing compared to the manual work or in other words to which degree can the automatic indexing replace people without a signi cant drop in regards to quality?
    Type
    a
  8. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.00 
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    Abstract
    Users of web search engines are known to mostly focus on the top ranked results of the search engine result page. While many studies support this well known information seeking pattern only few studies concentrate on the question what users are missing by neglecting lower ranked results. To learn more about the relevance distributions in the so-called long tail we conducted a relevance assessment study with the Million Short long-tail web search engine. While we see a clear difference in the content between the head and the tail of the search engine result list we see no statistical significant differences in the binary relevance judgments and weak significant differences when using graded relevance. The tail contains different but still valuable results. We argue that the long tail can be a rich source for the diversification of web search engine result lists but it needs more evaluation to clearly describe the differences.
    Type
    a
  9. Wilde, A.; Wenninger, A.; Hopt, O.; Schaer, P.; Zapilko, B.: Aktivitäten von GESIS im Kontext von Open Data und Zugang zu sozialwissenschaftlichen Forschungsergebnissen (2010) 0.00 
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  10. Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013) 0.00 
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    Abstract
    Ziel des Projekts ist die Entwicklung und Erprobung von metadatenbasierten Mehr-wertdiensten für Retrievalumgebungen mit mehreren Datenbanken: a) Search Term Recommender (STR) als Dienst zum automatischen Vorschlagen von Suchbegriffen aus kontrollierten Vokabularen, b) Bradfordizing als Dienst zum Re-Ranking von Ergebnismengen nach Kernzeitschriften und c) Autorenzentralität als Dienst zum Re-Ranking von. Ergebnismengen nach Zentralität der Autoren in Autorennetzwerken. Schwerpunkt des Projektes ist die prototypische mplementierung der drei Mehrwertdienste in einer integrierten Retrieval-Testumgebung und insbesondere deren quantitative und qualitative Evaluation hinsichtlich Verbesserung der Retrievalqualität bei Einsatz der Mehrwertdienste.
    Type
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  11. Fühles-Ubach, S.; Schaer, P.; Lepsky, K.; Seidler-de Alwis, R.: Data Librarian : ein neuer Studienschwerpunkt für wissenschaftliche Bibliotheken und Forschungseinrichtungen (2019) 0.00 
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    Abstract
    Der Beitrag beschäftigt sich mit dem neuen Studienschwerpunkt "Data Librarian" im Studiengang "Data and Information Science", der seit dem Wintersemester 2018/19 am Institut für Informationswissenschaft der Technischen Hochschule Köln angeboten wird. Im Rahmen einer gemeinsamen Akkreditierung aller Bachelor-Studiengänge des Instituts entwickelt, bündelt bzw. vermittelt er u. a. umfassende Kenntnisse in den Bereichen Datenstrukturen, Datenverarbeitung, Informationssysteme, Datenanalyse und Information Research in den ersten Semestern. Das sechsmonatige Praxissemester findet in einer wissenschaftlichen Bibliothek oder Informationseinrichtung statt, bevor die Schwerpunkte Forschungsdaten I+II, Wissenschaftskommunikation, Szientometrie und automatische Erschließung vermittelt werden.
    Type
    a

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