Search (17 results, page 1 of 1)

  • × author_ss:"Mutschke, P."
  1. Mutschke, P.; Ohly, H.P.: AKCESS: Wissensverarbeitung mit sozialwissenschaftlichen Literatur- und Projektdatenbanken (1994) 0.02 
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    Source
    Informations- und Wissensverarbeitung in den Sozialwissenschaften: Beiträge zur Umsetzung neuer Informationstechnologien. Hrsg.: H. Best u.a
  2. Marx, J.; Mutschke, P.: ¬Ein Informationssystem für die Sozialwissenschaften : das Projekt GESINE (1996) 0.02 
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    Abstract
    Im Bereich der Sozialwissenschaften wird von Informationsvermittlungseinrichtungen wie GESIS in zunehmendem Maße die Vermittlung qualitativ hochwertiger und komplexer Informationen über sozialwissenschaftliche Fragestellungen und Erkenntnisprozesse sowie über die Struktur und Entwicklung sozialwissenschaftlicher Forschungsfelder erwartet. Mit der konventionellen Datenbankrecherche kann jedoch nur ein Teil dieses 'erhöhten' Informationsbedarfs abgedeckt werden. Ziel des Projekts GESINE ist daher die Entwicklung einer unternehmensübergreifenden objektorientierten Desktop-Umgebung, in der die Informationsbestände der GESIS-Institute für Mitarbeiter und Nutzer in homogener und integrativer Weise unter einer graphischen Benutzeroberfläche als 'Corporate Knowledge' zur Verfügung gestellt werden
    Source
    Herausforderungen an die Informationswirtschaft: Informationsverdichtung, Informationsbewertung und Datenvisualisierung. Proceedings des 5. Internationalen Symposiums für Informationswissenschaft (ISI'96), Humboldt-Universität zu Berlin, 17.-19. Oktober 1996. Hrsg.: J. Krause u.a
  3. Mutschke, P.; Ohly, H.P.: Assistance by knowledge-based context evaluation in social science retrieval (AKCESS) (1993) 0.02 
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    Source
    Lebensverhältnisse und soziale Konflikte im neuen Europa: 26. Deutscher Soziologentag. Sektionen, Arbeits- und Ad-hoc-Gruppen. Hrsg.: H. Meulemann u.a
  4. Mutschke, P.: Autorennetzwerke : Verfahren zur Netzwerkanalyse als Mehrwertdienste für Informationssysteme (2004) 0.01 
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    Abstract
    Virtuelle Bibliotheken enthalten eine Fülle an Informationen, die in ihrer Vielfalt und Tiefe von Standardsuchmaschinen nicht erschöpfend erfasst wird. Der Arbeitsbericht informiert über Entwicklungen am IZ, die darauf abzielen, Wissen über das Interaktionsgeschehen in wissenschaftlichen Communities und den sozialen Status ihrer Akteure für das Retrieval auszunutzen. Grundlage hierfür sind soziale Netzwerke, die sich durch Kooperation der wissenschaftlichen Akteure konstituieren und in den Dokumenten der Datenbasis z.B. als Koautorbeziehungen repräsentiert sind (Autorennetzwerke). Die in dem Bericht beschriebenen Studien zur Small-World-Topologie von Autorennetzwerken zeigen, dass diese Netzwerke ein erhebliches Potential für Informationssysteme haben. Der Bericht diskutiert Szenarios, die beschreiben, wie Autorennetzwerke und hier insbesondere das Konzept der Akteurszentralität für die Informationssuche in Datenbanken sinnvoll genutzt werden können. Kernansatz dieser Retrievalmodelle ist die Suche nach Experten und das Ranking von Dokumenten auf der Basis der Zentralität von Autoren in Autorennetzwerken.
  5. Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013) 0.01 
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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.
    Series
    Fortschritte in der Wissensorganisation; Bd.12
  6. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.01 
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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.
    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  7. Herfurth, M.; Mutschke, P.; Ohly, H.P.: Inference from bibliographic facts : a social network approach between front-ends and text comprehension (1992) 0.01 
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    Mensch und Maschine: Informationelle Schnittstellen der Kommunikation. Proc. des 3. Int. Symposiums für Informationswissenschaft (ISI'92), 5.-7.11.1992 in Saarbrücken. Hrsg.: H.H. Zimmermann, H.-D. Luckhardt u. A. Schulz
  8. Grivel, L.; Mutschke, P.; Polanco, X.: Thematic mapping on bibliographic databases by cluster analysis : a description of the SDOC environment with SOLIS (1995) 0.01 
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    Abstract
    The paper presents a coword-analysis-based system called SDOC which is able to pupport the intellectual work of an end-user who is searching for information in a bibliographic database. This is done by presenting its thematical structure as a map of keyword clusters (themes) on a graphical user interface. These mapping facilities are demonstrated on the basis of the research field Social History given by a set of documents from the social science literature database SOLIS. Besides the traditional way of analysing a coword map as a strategic diagram, the notion of cluster relationships analysis is introduced which provides an adequate interpretation of links between themes
    Source
    Knowledge organization. 22(1995) no.2, S.70-77
  9. Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011) 0.01 
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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.
    Series
    Bibliotheca Academica - Reihe Informations- und Bibliothekswissenschaften; Bd. 1
    Source
    Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Mutschke, P.: Wissensbasierte Informationsverarbeitung : der Einsatz von Fuzzy-Technologien für die Generierung von Wissenschaftlerprofilen auf der Basis von bibliographischen und faktographischen Datenbanken (1996) 0.01 
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    Source
    Informationsservice des IZ Sozialwissenschaften: Datenbankentwicklung und -nutzung, Netzwerke, Wissenschaftsforschung. Hrsg.: J. Krause u. M. Zimmer
  11. Krause, J.; Mutschke, P.: Indexierung und Fulcrum-Evaluierung (1999) 0.01 
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  12. Mutschke, P.: Processing scientific networks in bibliographic databases (1994) 0.00 
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    Series
    Studies in classification, data analysis, and knowledge organization
  13. Mayr, P.; Mutschke, P.; Petras, V.: Reducing semantic complexity in distributed digital libraries : Treatment of term vagueness and document re-ranking (2008) 0.00 
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    Abstract
    Purpose - The general science portal "vascoda" merges structured, high-quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata-driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value-added services (treatment of term vagueness and document re-ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project "Competence Center Modeling and Treatment of Semantic Heterogeneity". Design/methodology/approach - Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re-rank result sets by the following structural properties: the ranking of the results by core journals (so-called Bradfordizing) and ranking by centrality of authors in co-authorship networks. Findings - The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value - The central impact of the paper focuses on the integration of three structural value-adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re-ranking.
  14. Mutschke, P.; Ohly, H.P.: AKCESS: Wissensverarbeitung mit bibliographischen Datenbanken (1992) 0.00 
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    Source
    Softstat'91: advances in statistical software 3; the 6th Conference on the Scientific Use of Statistical Software, April 7-12, 1991, Heidelberg. Hrsg.: F. Faulbaum
  15. Hellweg, H.; Krause, J.; Mandl, T.; Marx, J.; Müller, M.N.O.; Mutschke, P.; Strötgen, R.: Treatment of semantic heterogeneity in information retrieval (2001) 0.00 
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    Abstract
    Nowadays, users of information services are faced with highly decentralised, heterogeneous document sources with different content analysis. Semantic heterogeneity occurs e.g. when resources using different systems for content description are searched using a simple query system. This report describes several approaches of handling semantic heterogeneity used in projects of the German Social Science Information Centre
  16. Mutschke, P.: Uncertainty and actor-oriented information retrieval in my-AKCESS : an approach based on fuzzy set theory (1996) 0.00 
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  17. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.00 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"

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