Structured Queries for Semistructured Probabilistic Data
Proceedings, 2nd Twente DataManagement Workshop on Uncertainty in Databases (TDM'06): Enschede, The Netherlands., Page: 11-18
2006
- 172Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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- Usage172
- Downloads126
- Abstract Views46
Lecture / Presentation Description
We present SPOQL, a structured query language for Semistructured Probabilistic Object (SPO) model [4]. The original querylanguage—SP-Algebra [4], has traditional limitations like terse functional notation and unfamiliarity to application programmers. SPOQL alleviates these problems by providing familiar SQL-like declarative syntax. We show that parsing SPOQL queries is a more involving task than parsing SQL queries. We also present an eagerevaluation algorithm for SPOQL queries
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