Name
Abstract | ||
|---|---|---|
•We contribute a question driven query model which falls under the natural language based category.•The proposed model supports fuzziness where every user is given the freedom to define his/her own understanding of fuzzy terms.•The developed system captures the fuzzy understanding of each user to utilize it while deciding on the result to be communicated back as answer to a raised question.•The developed model is intended to help users to retrieve data from a relational database without expecting them to know SQL.•The reported test results demonstrate the effectiveness and applicability of the developed system. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ins.2017.11.049 | Information Sciences |
Keywords | Field | DocType |
Query model,Fuzzy model,User interface,Relational database,Structured database,Natural language interface | Data science,Population,Relational database,Computer science,Natural language user interface,Artificial intelligence,SQL,Information retrieval,Fuzzy logic,Natural language,User Friendly,User interface,Machine learning | Journal |
Volume | ISSN | Citations |
430 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 30 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abdullah Sarhan | 1 | 15 | 3.64 |
| Jon G. Rokne | 2 | 263 | 45.63 |
| Reda Alhajj | 3 | 1919 | 205.67 |