A tool for personal data extraction

Daniela Vianna, Alicia Michelle Yong, Chaolun Xia, Amelie Marian, Thu Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Digital storage now acts as an archive of the memories of users worldwide, keeping record of data as well as the context in which the data was acquired. The massive amount of data available and the fact that it is fragmented across many services (e.g., Facebook) and devices (e.g., laptop) make it very difficult for users to find specific pieces of information that they remember having stored or accessed. Unifying this fragmented data into a single data set that includes contextual information would allow for much better indexing and searching of personal information. Thus, we have developed a personal data extraction tool as a first step toward this vision. In this paper, we present this extraction tool, along with some preliminary statistics about personal data gathered by the tool for several users. The goal of the data analysis is to give a glimpse of what the digital life of a person may look like, and how it is currently partitioned across many different services; moreover, it reinforces the fact that it is not possible for users to manually retrieve, store and access their extensive digital data without the support of a personalized information management tool.

Original languageEnglish (US)
Title of host publication2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
PublisherIEEE Computer Society
Pages80-83
Number of pages4
ISBN (Print)9781479934805
DOIs
StatePublished - 2014
Event2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014 - Chicago, IL, United States
Duration: Mar 31 2014Apr 4 2014

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2014 IEEE 30th International Conference on Data Engineering Workshops, ICDEW 2014
Country/TerritoryUnited States
CityChicago, IL
Period3/31/144/4/14

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

Fingerprint

Dive into the research topics of 'A tool for personal data extraction'. Together they form a unique fingerprint.

Cite this