Name
Abstract | ||
|---|---|---|
We describe here a query evaluation principle based on hierarchical aggregation. Queries are assumed to be free form expressions of lists of words unconnected or forming fragments of natural language (NL). A query is transformed into a nested structure of subsets of attributes. During query evaluation, each subset is treated for individual aggregation and aggregates are thus in turn aggregated, leading to an aggregate for measuring the full query against an object from the database. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0165-0114(03)00028-9 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
knowledge base,natural language | Data mining,Query language,Computer science,Web query classification,Artificial intelligence,Query optimization,Web search query,RDF query language,Information retrieval,Query expansion,Sargable,Online aggregation,Machine learning | Journal |
Volume | Issue | ISSN |
140 | 1 | 0165-0114 |
Citations | PageRank | References |
7 | 0.93 | 5 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Troels Andreasen | 1 | 505 | 43.70 |