Organic streams: Data aggregation and integration based on individual needs

Xiaokang Zhou, Qun Jin, Bo Wu, Wei Wang, Julong Pan, Wenbin Zheng

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

With the high accessibility of the social media, more and more people have been accustomed to sharing their personal contents across the social networks, which results in an explosive increase of data scale. In this study, in order to support information and knowledge discovery in big data, we propose an approach to aggregation and integration of personal big data from life logs in accordance with individual needs, which can benefit the sustainable information utilization process. In details, the organic stream, which is designed as an extensible data carrier, is introduced and developed to formulize and organize the personal big data, in order to extract dynamical individual needs from the tremendous amount of data posted through social media, and further aggregate and integrate the related data in a meaningful way, which can also facilitate the personalized information retrieval and reuse process. The architecture of the system with the foundational modules is given, and the experiment result is presented to demonstrate the usability and effectiveness of our approach.

Original languageEnglish
Pages535-540
Number of pages6
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013 - Aizuwakamatsu, Japan
Duration: 2013 Nov 22013 Nov 4

Conference

Conference2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013
CountryJapan
CityAizuwakamatsu
Period13/11/213/11/4

Keywords

  • Big Data
  • Data Aggregation
  • Data Integration
  • Individual Need
  • Life Log

ASJC Scopus subject areas

  • Software

Fingerprint Dive into the research topics of 'Organic streams: Data aggregation and integration based on individual needs'. Together they form a unique fingerprint.

  • Cite this

    Zhou, X., Jin, Q., Wu, B., Wang, W., Pan, J., & Zheng, W. (2013). Organic streams: Data aggregation and integration based on individual needs. 535-540. Paper presented at 2013 International Joint Conference on Awareness Science and Technology, iCAST 2013 and 6th International Conference on Ubi-Media Computing, UMEDIA 2013, Aizuwakamatsu, Japan. https://doi.org/10.1109/ICAwST.2013.6765498