|Title||Cuebee: Knowledge Driven Query Formulation|
|Year of Publication||2009|
|Authors||Pablo N. Mendes|
|Keywords||rdf and sparql and query and interface and UI|
Cuebee (http://knoesis.wright.edu/library/tools/cuebee/) is a knowledge-driven query formulation system targeted at non-computer expert users for SPARQL generation. Cuebee uses ontology schemata to guide users step-by-step in formulating queries in an intuitive way. Queries are translated to SPARQL, sent to servers over the web and the results are presented to the user in multiple visualization interfaces. Each perspective should help the user in accomplishing a different analytical task, e.g. graph-based visualization to explore connections between elements, chart-based visualization for result set summarization and genome map visualization for positional analysis, amongst others. Cuebee supports utility tools that can be executed over the Internet (as web services) to perform computations as part of query solutions. Such tools are currently integrated with the query formulation process in an ad hoc fashion. Future work includes a flexible integration of the query formulation with semantic web service registry. This document aims at describing the basic components of Cuebee, presenting what has been implemented, as well as future work. We start by showing how users interact with the system to formulate queries, then discuss how to encode SPARQL through that process. Query execution is also discussed, providing insight into the integration with the Web Services infrastructure to be developed.
|Full Text|| |
Pablo N. Mendes, 2010. 'Cuebee: Knowledge Driven Query Formulation'. Technical Report, Kno.e.sis Center, Wright State University, Dayton OH.