Name
Title | ||
|---|---|---|
Dynamic generation of concepts hierarchies for knowledge discovering in bio-medical linked data sets |
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2184751.2184766 | ICUIMC |
Keywords | Field | DocType |
concept hierarchy,concepts hierarchy,linked data sets,relational database,vector space model,hierarchy structure,concept hierarchy structure,linked life data,dynamic generation,pre-processing data,data sets,linked data,gold standard,hierarchical clustering | Hierarchical clustering,Data mining,Data hierarchy,Relational database,Computer science,Linked data structure,Linked data,Jaccard index,Vector space model,Hierarchy | Conference |
Citations | PageRank | References |
9 | 0.59 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nansu Zong | 1 | 45 | 5.68 |
| Dong-Hyuk Im | 2 | 35 | 6.06 |
| Sung-Kwon Yang | 3 | 59 | 8.01 |
| Hyun Namgoon | 4 | 9 | 0.59 |
| Hong-Gee Kim | 5 | 104 | 18.80 |