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Herfurth, M.; Mutschke, P.; Ohly, H.P.: AKCESS: Konzeptorientiertes Retrieval mit bibliographischem Kontextwissen (1993)
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- Source
- Information Retrieval '93: von der Modellierung zur Anwendung; Proc. der 1. Tagung Information Retrieval '93; 13.-15.9.1993, Universität Regensburg. Hrsg.: G. Knorz u.a
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Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011)
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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.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
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Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015)
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- Footnote
- Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
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Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010)
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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.
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Mutschke, P.; Ohly, H.P.: Assistance by knowledge-based context evaluation in social science retrieval (AKCESS) (1993)
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Mutschke, P.: Uncertainty and actor-oriented information retrieval in my-AKCESS : an approach based on fuzzy set theory (1996)
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Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013)
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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.
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Grivel, L.; Mutschke, P.; Polanco, X.: Thematic mapping on bibliographic databases by cluster analysis : a description of the SDOC environment with SOLIS (1995)
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- Source
- Knowledge organization. 22(1995) no.2, S.70-77
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Hellweg, H.; Krause, J.; Mandl, T.; Marx, J.; Müller, M.N.O.; Mutschke, P.; Strötgen, R.: Treatment of semantic heterogeneity in information retrieval (2001)
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Mutschke, P.: Autorennetzwerke : Verfahren zur Netzwerkanalyse als Mehrwertdienste für Informationssysteme (2004)
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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.
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Mayr, P.; Mutschke, P.; Petras, V.: Reducing semantic complexity in distributed digital libraries : Treatment of term vagueness and document re-ranking (2008)
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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.
