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  • 标题:State of The Art Content Mining Using SCAN Technology
  • 本地全文:下载
  • 作者:Dr. Anuj Kumar Parashar ; Er. Dev Kant Tyagi
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2017
  • 卷号:5
  • 期号:5
  • 页码:10633
  • DOI:10.15680/IJIRCCE.2017.0505090
  • 出版社:S&S Publications
  • 摘要:Smart Content is same like Semantic Web Service Composition ( SWSC) which is defined asgenerating the aggregated service by integration of independent available component services for satisfying the clienteach request that cannot be satisfied by any available single service. Thus, we can say that in most cases semanticweb service also not able to satisfy client request by single service component. That’s why we need the servicecomposition for generating aggregation of service components according to the requested task.The basic and main objective of project is to provide more efficient approaches for composition on semantic mobileservices. The thesis also aims at providing a theoretically complete classification system for various compositionapproaches. Thesis presents framework for tag based Smart Content service composition and its various models also.Here we try to search heterogeneous contents present in mobile’s SD Card but not discoverable due to the variety ofcontents and various file types. We try to develop a tag based repository that can be searched for desired keywordwhich finds file(s) having that keyword. The difficulty to achieve the result is due to large number of file types as foreach extension we have to code differently. This thesis presents an implementation for Smart Content Tag Repositoryand mainly focuses Android Mobiles. We have also presented a comparative study of various smart contentaggregation and navigation technology on various platforms and finally thesis presents an implementation of thistechnology on a widely used Android Operating System for Smart Phones.
  • 关键词:Tag; Smart Content; Aggregation; SCAN; Paper Submission.
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