Abstract | ||
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It is a very typical situation in many organizations that data gathered by their information systems are not used to their full potential. They can be processed only by IT professionals therefore limiting the scope of their usage. In this paper we propose a novel solution to the problem of how to get answers to ad hoc queries over the collected data in a way convenient to a domain expert. We exploit a concept of Star ontologies in order to develop a new kind of graphical query language that can be used by non-programmers. We explain the functioning of the language on an example of hospital domain. |
Year | DOI | Venue |
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2014 | 10.3233/978-1-61499-458-9-43 | Frontiers in Artificial Intelligence and Applications |
Keywords | Field | DocType |
star ontologies,granular ontologies,ad hoc queries,linear execution time,graphical queries | Ontology (information science),World Wide Web,Computer science | Conference |
Volume | ISSN | Citations |
270 | 0922-6389 | 2 |
PageRank | References | Authors |
0.41 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Janis Barzdins | 1 | 199 | 35.69 |
Edgars Rencis | 2 | 53 | 9.07 |
Agris Sostaks | 3 | 23 | 9.96 |