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

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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    Official URL: http://www.ines-conf.org/ines-conf/2013.html

    Abstract

    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.

    Item Type: Departmental Technical Report
    Publisher policy set phrase: (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QA Mathematics > QA076 Computer software > QA076.7 Programming Languages - Semantics
    Additional Information: Accepted for publication in Proceedings of INES 2013 (IEEE 17th International Conference on Intelligent Engineering Systems).
    Report Number: DISI-13-022
    Repository staff approval on: 13 Jun 2013 15:04

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