Dynamic generation of concepts hierarchies for knowledge discovering in bio-medical Linked Data Sets

Nansu Zong, Dong Hyuk Im, Sungkwon Yang, Hyun Namgoon, Hong Gee Kim

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

Abstract

Since most bio-medical Linked Data Sets are simply extracted from the Relational database, lots of them are lack of ontology or concept hierarchy structure for user better understanding the data sets. This problem also limited usage of bio-medical Linked Data Sets. To resolve the problem, this paper introduced a method to dynamically generate the concept hierarchy from the Linked Data Sets. Based on the hierarchical clustering algorithm, we applied Vector Space Model(VSM) and Jaccard's Coefficient(JC) to formalize the hierarchy structure after pre-processing data. We implemented our method using two Linked Data Sets: DrugBank and Diseasome from Linked Life Data and evaluated performance with the gold standard.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
DOIs
StatePublished - 2012
Event6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 - Kuala Lumpur, Malaysia
Duration: Feb 20 2012Feb 22 2012

Publication series

NameProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12

Conference

Conference6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
Country/TerritoryMalaysia
CityKuala Lumpur
Period2/20/122/22/12

Keywords

  • Bio-medical Linked Data Sets
  • Concept hierarchy
  • Knowledge discovering

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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