pest: Fast approximate keyword search in semantic data using eigenvector-based term propagation.
We present pest, a novel approach to the approximate querying of graph-structured data such as RDF that exploits the datas structure to propagate term weights between related data items. We focus on data where meaningful answers are given through the application semantics, e.g., pages in wikis, pers...
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Journal article |
| 言語: | English |
| 出版事項: |
2012
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PEST: Fast approximate keyword search in semantic data using eigenvector−based term propagation
出版事項 2012
Journal article