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Minimalist Metadata Visualization: The Minimal Set of Context Dependent Attributes for Entity Identification

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Τίτλος: Minimalist Metadata Visualization: The Minimal Set of Context Dependent Attributes for Entity Identification
Συγγραφείς: Giunchiglia, Fausto, Khandaker, Tabin Hasan, Sheikh Shaugat, Abdullah, Rezwan, Ahmed
Στοιχεία εκδότη: Università degli Studi di Trento. Dipartimento di Ingegneria e Scienza dell'Informazione
Έτος έκδοσης: 2013
Συλλογή: University of Trento: unitn.it eprints
Θεματικοί όροι: QA076.7 Programming Languages - Semantics
Περιγραφή: The purpose of our study is to addresses fundamental issues of minimalist metadata visualization that make an entity identifiable by human inspection. Minimalist metadata visualization for entity depends on the context of use of that entity, i.e., who is asking for what/whom at when and where. Therefore, we seek to recognize the need for requisite types, amount and order of metadata in different context. A survey result and user study on YouTube is presented revealing interesting facts based on our common understanding and practice of metadata visualization. In the first survey, we took one entity type with five different contexts to illustrate how variant the user reacts in different requirements. Afterwards, in user study we tried to plot our findings on popular video sharing website “YouTube” and identified some key problems as well. The results of our study will help to understand the importance of the minimal attribute set to identify an entity which can accelerate any sort of entity search in an efficient way.
Τύπος εγγράφου: report
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: http://eprints.biblio.unitn.it/4160/1/022.pdf; Giunchiglia, Fausto and Khandaker, Tabin Hasan and Sheikh Shaugat, Abdullah and Rezwan, Ahmed (2013) Minimalist Metadata Visualization: The Minimal Set of Context Dependent Attributes for Entity Identification. Trento : Università degli Studi di Trento. Dipartimento di Ingegneria e Scienza dell'Informazione.
Διαθεσιμότητα: http://eprints.biblio.unitn.it/4160/
http://eprints.biblio.unitn.it/4160/1/022.pdf
http://www.ines-conf.org/ines-conf/2013.html
Αριθμός Καταχώρησης: edsbas.38112EC4
Βάση Δεδομένων: BASE
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  Data: The purpose of our study is to addresses fundamental issues of minimalist metadata visualization that make an entity identifiable by human inspection. Minimalist metadata visualization for entity depends on the context of use of that entity, i.e., who is asking for what/whom at when and where. Therefore, we seek to recognize the need for requisite types, amount and order of metadata in different context. A survey result and user study on YouTube is presented revealing interesting facts based on our common understanding and practice of metadata visualization. In the first survey, we took one entity type with five different contexts to illustrate how variant the user reacts in different requirements. Afterwards, in user study we tried to plot our findings on popular video sharing website “YouTube” and identified some key problems as well. The results of our study will help to understand the importance of the minimal attribute set to identify an entity which can accelerate any sort of entity search in an efficient way.
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  Data: http://eprints.biblio.unitn.it/4160/1/022.pdf; Giunchiglia, Fausto and Khandaker, Tabin Hasan and Sheikh Shaugat, Abdullah and Rezwan, Ahmed (2013) Minimalist Metadata Visualization: The Minimal Set of Context Dependent Attributes for Entity Identification. Trento : Università degli Studi di Trento. Dipartimento di Ingegneria e Scienza dell'Informazione.
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