Query-By-Example: Operations on Piecewise Continuous Data (Extended Abstract)
VLDB '83 Proceedings of the 9th International Conference on Very Large Data Bases
RStar: an RDF storage and query system for enterprise resource management
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Query-by-example: the invocation and definition of tables and forms
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
Supporting ontology-based semantic matching in RDBMS
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Unifying data and domain knowledge using virtual views
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Alison balter's mastering microsoft® office access 2007 development
Alison balter's mastering microsoft® office access 2007 development
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Query-by-example approach towards on-demand multidimensional analysis
International Journal of Business Intelligence and Data Mining
Proceedings of the 16th International Conference on Extending Database Technology
Hi-index | 0.00 |
Supporting semantic queries in relational databases is essential to many advanced applications. Recently, with the increasing use of ontology in various applications, the need for querying relational data together with its related ontology has become more urgent. In this paper, we identify and discuss the problem of querying relational data with its ontologies. Two fundamental challenges make the problem interesting. First, it is extremely difficult to express queries against graph structured ontology in the relational query language SQL, and second, in many cases where data and its related ontology are complicated, queries are usually not precise, that is, users often have only a vague notion, rather than a clear understanding and definition, of what they query for. We outline a query-by-example approach that enables us to support semantic queries in relational databases with ease. Instead of endeavoring to incorporate ontology into relational form and create new language constructs to express such queries, we ask the user to provide a small number of examples that satisfy the query she has in mind. Using these examples as seeds, the system infers the exact query automatically, and the user is therefore shielded from the complexity of interfacing with the ontology.