Federated database systems for managing distributed, heterogeneous, and autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
Interoperability of multiple autonomous databases
ACM Computing Surveys (CSUR) - Special issue on heterogeneous databases
A statistical interpretation of term specificity and its application in retrieval
Document retrieval systems
The relationship between recall and precision
Journal of the American Society for Information Science
Query rewriting for semistructured data
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Evaluating top-k queries over web-accessible databases
ACM Transactions on Database Systems (TODS)
Configurable indexing and ranking for XML information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Ordering the attributes of query results
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Improving web search ranking by incorporating user behavior information
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic information retrieval approach for ranking of database query results
ACM Transactions on Database Systems (TODS)
Probabilistic ranking of database query results
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Empty versus overabundant answers to flexible relational queries
Fuzzy Sets and Systems
Retrieving XML data from heterogeneous sources through vague querying
ACM Transactions on Internet Technology (TOIT)
Information Systems for Federated Biobanks
Transactions on Large-Scale Data- and Knowledge-Centered Systems I
| Hi-index | 0.00 |
Biobanks are extremely important resources for medical research: they collect biological material (samples) and data describing this material. Biobanks provide medical researchers with material and data they need for their studies. Data availability varies greatly among samples and makes the retrieval of data and identification of relevant samples a strenuous task. We show the challenges and limitations when using pure SQL statements for querying a relational database. To tackle the problem of locating interesting material we present a novel approach which automatically generates approximate queries with ranking capabilities. Medical researchers use a Query By Example interface to specify desired attributes and restrictions and assign weights to them to influence the ranking function.