Leveraging social data for health care behavior analytics

Xiang Ji, Paolo Cappellari, Soon Ae Chun, James Geller

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

3 Scopus citations


User-generated social health data can provide valuable insights into the health care behavior and practices of patients for clinicians, policy makers and other patients. Social InfoButtons is a tool for integrating and analyzing social health data, using a semantic data integration framework that is flexible and extensible with respect to a variety of health data sources. The integration overlay provides a framework that semantically links data enabling cross dataset exploration and analysis. The unified data model for both scientific and social sources allows multidimensional analysis and the ability to explore and compare the expert knowledge with the actual health care practices of patients.

Original languageEnglish (US)
Title of host publicationEngineering the Web in the Big Data Era - 15th International Conference, ICWE 2015, Proceedings
EditorsFlavius Frasincar, Geert-Jan Houben, Philipp Cimiano, Daniel Schwabe
PublisherSpringer Verlag
Number of pages4
ISBN (Electronic)9783319198897
StatePublished - 2015
Event15th International Conference on Web Engineering, ICWE 2015 - Rotterdam, Netherlands
Duration: Jun 23 2015Jun 26 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other15th International Conference on Web Engineering, ICWE 2015

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


  • Data integration
  • Linked data
  • Social health analytics


Dive into the research topics of 'Leveraging social data for health care behavior analytics'. Together they form a unique fingerprint.

Cite this