skip to main content
10.1145/2245276.2245351acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
research-article

Social health data integration using semantic Web

Published: 26 March 2012 Publication History

Abstract

This project addresses how to link scattered health-related data from different Web communities, and provide integrated knowledge of health information. Specifically, we integrate data from social media-based patient communities, curated sites with expert content, and the research community. Our approach is based on medical concept extraction using the Unified Medical Language System (UMLS), Resource Description Framework (RDF) semantic modeling to represent diverse social health and medical experiences, and summarization of integrated health data. A prototype implementation annotates medical terms occurring in blogs with summarized health experience data, medical expert data and medical research data that enables users, such as patients, doctors or other health care providers to have integrated and linked view of health-related knowledge. Currently, the system integrates information from PatientsLikeMe, WebMD, and PubMed, and can be used to annotate a wide variety of text based blogs. This system uses ontology-based information extraction and semantic modeling of social health data to integrate informally specified information, which is typical of content written by patients.

References

[1]
A. Amin, H. Cramer, L. Hardman, V. Evers, "The effects of source credibility ratings in a cultural heritage information aggregator", Proceedings of the 3rd workshop on information credibility, 2009, 35--42.
[2]
P. Buitelaar, P. Cimiano, S. Racioppa, and M. Siegel, "Ontology-based information extraction with SOBA," Proceedings of the International Conference on Language Resources and Evaluation, 2006, 2321--2324.
[3]
H. Cunningham, D. Maynard, K. Bontcheva, and V. Tablan, "GATE: an architecture for development of robust HLT applications," Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, 2002, 168--175.
[4]
K. Denecke, A. Stewart, T. Eckmanns, D. Faensen, P. Dolog, and P. Smrz, "The medical ecosystem -- personalised event-based eurveillance," Proceedings of the 13th World Congress on Medical and Health Informatics Medinfo, 2010.
[5]
J. Domingue, M. Dzbor, and Enrico Motta, "MAGPIE: Supporting Browsing and Navigation on the Semantic Web," The Semantic Web - ISWC 2003, Springer Berlin/Heidelberg, 2003, 690--705.
[6]
X. Dong and A. Halevy, "Indexing dataspaces," Proceedings of the 2007 ACM SIGMOD international conference on Management of data, Beijing, China: ACM, 2007, 43--54.
[7]
N. Dragu, F. Elkhoury, T. Miyazaki, R. A. Morelli, and N. di Tada, "Ontology-based text mining for predicting disease outbreaks," Twenty-Third International FLAIRS Conference, 2010.
[8]
D. Embley, "Toward semantic understanding: an approach based on information extraction ontologies," Proceedings of the 15th Australasian Database Conference, vol. 27, 2004, 3--12.
[9]
L. Fernandez-Luque, R. Karlsen, and J. Bonander, "Review of extracting information from the social web for health personalization," Journal of Medical Internet Research, vol. 13, Jan. 2011.
[10]
S. Fox, The Social Life of Health Information, 2011, Pew Internet and American Family Project, 2011.
[11]
J. H. Frost and M. P. Massagli, "Social uses of personal health information within PatientsLikeMe, an online patient community: What can happen when patients have access to one another's sata," Journal of Medical Internet Research, vol. 10(3), May. 2008.
[12]
B. Hughes, I. Joshi, and J. Wareham, "Health 2.0 and Medicine 2.0: Tensions and controversies in the field," Journal of Medical Internet Research, vol. 10, 2008.
[13]
"jsoup: Java HTML Parser." {Online}. Available: http://jsoup.org/. {Accessed: 07-Sep-2011}.
[14]
M. N. Kamel Boulos, A. P. Sanfilippo, C. D. Corley, and S. Wheeler, "Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance," Computer Methods and Programs in Biomedicine, vol. 100, Oct. 2010, 16--23.
[15]
A. Meier, E. J. Lyons, G. Frydman, M. Forlenza, and B. K. Rimer, "How cancer survivors provide support on cancer-related internet mailing lists," Journal of Medical Internet Research, vol. 9, no. 2.
[16]
O'Reilly, Tim, "What is Web 2.0: Design Patterns and Business Models for the Next Generation of Software.", Communications & Strategies, vol. 1, First Quarter 2007.
[17]
PatientsLikeMe.com, http://www.patientslikeme.com/, 2011.
[18]
.gov, http://www.ncbi.nlm.nih.gov/ /, 2011.
[19]
H. Saggion, A. Funk, D. Maynard, and K. Bontcheva, "Ontology-based information extraction for business intelligence," Proceedings of the 6th International Semantic Web and 2nd Asian Conference on Asian Semantic Web Conference, Springer-Verlag, 2007, 843--856.
[20]
R. Serban, A. ten Teije, F. van Harmelen, M. Marcos, and C. Polo-Conde, "Extraction and use of linguistic patterns for modeling medical guidelines," Artificial Intelligence in Medicine, vol. 39, Feb. 2007, 137--149.
[21]
D. Skoutas and A. Simitsis, "Designing ETL processes using semantic web technologies," Proceedings of the 9th ACM International Workshop on Data Warehousing and OLAP, Arlington, Virginia, USA: ACM, 2006, pp. 67--74.
[22]
C. A. Smith and P. J. Wicks, "PatientsLikeMe: Consumer Health Vocabulary as a Folksonomy," AMIA Annual Symposium Proceedings, American Medical Informatics Association, 2008, 682--686.
[23]
E. Soysal, I. Cicekli, and N. Baykal, "Design and evaluation of an ontology based information extraction system for radiological reports," Computers in Biology and Medicine, vol. 40, 900--911.
[24]
WebMD.com, Breast cancer discussion board, http://exchanges.webmd.com/breast-cancer-exchange, 2011.
[25]
P. Wicks, M. Massagli, J. Frost, C. Brownstein, S. Okun, T. Vaughan, R. Bradley, and J. Heywood, "Sharing Health Data for Better Outcomes on PatientsLikeMe," Journal of Medical Internet Research, vol. 12, Jun. 2010.
[26]
D. C. Wimalasuriya and D. Dou, "Ontology-based information extraction: An introduction and a survey of current approaches," Journal of Information Science, vol. 36, 2010, 306.

Cited By

View all
  • (2023)EVOLUTION OF REGULATORY MODELS FOR PUBLIC HEALTH DATA ECOSYSTEMS FROM A LINKED DEMOCRACY PERSPECTIVENew Trends in Computer Sciences10.3846/ntcs.2023.191661:2(70-96)Online publication date: 27-Sep-2023
  • (2021)Semantic interoperability: the future of healthcareWeb Semantics10.1016/B978-0-12-822468-7.00018-3(31-53)Online publication date: 2021
  • (2020)UMLS at 30 years: How it is used and published (Preprint)JMIR Medical Informatics10.2196/20675Online publication date: 25-May-2020
  • Show More Cited By

Index Terms

  1. Social health data integration using semantic Web

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing
      March 2012
      2179 pages
      ISBN:9781450308571
      DOI:10.1145/2245276
      • Conference Chairs:
      • Sascha Ossowski,
      • Paola Lecca
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 March 2012

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. data integration
      2. health data extraction
      3. health knowledge
      4. health knowledge base
      5. semantic health experience model
      6. semantic integration
      7. semantic web
      8. social data
      9. social health data

      Qualifiers

      • Research-article

      Funding Sources

      Conference

      SAC 2012
      Sponsor:
      SAC 2012: ACM Symposium on Applied Computing
      March 26 - 30, 2012
      Trento, Italy

      Acceptance Rates

      SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;
      Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

      Upcoming Conference

      SAC '25
      The 40th ACM/SIGAPP Symposium on Applied Computing
      March 31 - April 4, 2025
      Catania , Italy

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)8
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 20 Jan 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2023)EVOLUTION OF REGULATORY MODELS FOR PUBLIC HEALTH DATA ECOSYSTEMS FROM A LINKED DEMOCRACY PERSPECTIVENew Trends in Computer Sciences10.3846/ntcs.2023.191661:2(70-96)Online publication date: 27-Sep-2023
      • (2021)Semantic interoperability: the future of healthcareWeb Semantics10.1016/B978-0-12-822468-7.00018-3(31-53)Online publication date: 2021
      • (2020)UMLS at 30 years: How it is used and published (Preprint)JMIR Medical Informatics10.2196/20675Online publication date: 25-May-2020
      • (2020)Using Semantic Web Technologies and Multi-agent System for Multi-dimensional Analysis of Open Health DataJournal of Information & Knowledge Management10.1142/S0219649220500215(2050021)Online publication date: 23-Jul-2020
      • (2019)A Review on Integration of Scientific Experimental Data Through MetadataRecent Trends and Advances in Wireless and IoT-enabled Networks10.1007/978-3-319-99966-1_6(63-72)Online publication date: 23-Jan-2019
      • (2018)Patient-Centered Clinical Trials Decision Support Using Linked Open DataInformation Retrieval and Management10.4018/978-1-5225-5191-1.ch080(1765-1782)Online publication date: 2018
      • (2017)Linking and using social media data for enhancing public health analyticsJournal of Information Science10.1177/016555151562502943:2(221-245)Online publication date: 1-Apr-2017
      • (2017)Reasoning and discovering novel treatments in linked social health recordsProceedings of the Symposium on Applied Computing10.1145/3019612.3019839(342-348)Online publication date: 3-Apr-2017
      • (2014)Patient-Centered Clinical Trials Decision Support using Linked Open DataInternational Journal of Software Science and Computational Intelligence10.4018/ijssci.20140701036:3(31-48)Online publication date: Jul-2014
      • (2014)Connecting the DotsProceedings of the Sixteenth International Conference on Electronic Commerce10.1145/2617848.2617864(17-19)Online publication date: 5-Aug-2014
      • Show More Cited By

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media