Abstract | ||
---|---|---|
We present a Linked Data analysis method which relies on knowledge patterns for constructing a logical architecture of the knowledge in a dataset. This can then be exploited to compare heterogeneous datasets, enhance interoperability between them and make implicit knowledge emerge. |
Year | DOI | Venue |
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2011 | 10.1145/1999676.1999711 | K-CAP |
Keywords | Field | DocType |
data analysis,heterogeneous datasets,knowledge pattern-based method,linked data analysis method,implicit knowledge,knowledge pattern,logical architecture,linked data | Data science,Data mining,Information retrieval,Interoperability,Computer science,Implicit knowledge,Linked data,Knowledge extraction,Logical architecture | Conference |
Citations | PageRank | References |
1 | 0.36 | 4 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Valentina Presutti | 1 | 900 | 80.28 |
Lora Aroyo | 2 | 1594 | 159.04 |
Aldo Gangemi | 3 | 3014 | 283.07 |
Alessandro Adamou | 4 | 58 | 8.66 |
Balthasar Schopman | 5 | 21 | 1.97 |
Guus Schreiber | 6 | 1448 | 150.58 |