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...
| Những tác giả chính: | , , , , |
|---|---|
| Định dạng: | Journal article |
| Ngôn ngữ: | English |
| Được phát hành: |
2012
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PEST: Fast approximate keyword search in semantic data using eigenvector−based term propagation
Được phát hành 2012
Journal article