Abstract
MashQL, a novel query formulation language for querying and mashing up structured data on the Web, doesn't require users to know the queried data's structure or the data itself to adhere to a schema. In this article, the authors address the fact that being a language, not merely an interface (and simultaneously schema-free), MashQL faces a particular set of challenges. In particular, the authors propose and evaluate a novel technique for optimizing queries over large data sets to allow instant user interaction.
| Original language | English |
|---|---|
| Article number | 5481368 |
| Pages (from-to) | 58-67 |
| Number of pages | 10 |
| Journal | IEEE Internet Computing |
| Volume | 14 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 May 2010 |
| Externally published | Yes |
Keywords
- Data Web
- Graph databases
- Indexing methods
- Internet
- Query formulation
- RDF and SPARQL
- Semantic Web
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