Results 1 to 10 of about 139,446 (99)

Fuzzy query by example

open access: yesProceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
This paper describes Fuzzy Query By Example, an approach helping users retrieve data without any prior knowledge of the database schema or any formal querying language. The user is solicited to evaluate, in a binary way, pre-selected items of the database.
Moreau, Aurélien   +2 more
openaire   +3 more sources

SPARQL Query Recommendations by Example [PDF]

open access: yes, 2016
In this demo paper, a SPARQL Query Recommendation Tool (called SQUIRE) based on query reformulation is presented. Based on three steps, Generalization, Specialization and Evaluation, SQUIRE implements the logic of reformulating a SPARQL query that is satisfiable w.r.t a source RDF dataset, into others that are satisfiable w.r.t a target RDF dataset. In
Allocca, Carlo   +3 more
openaire   +2 more sources

An Introduction to the Patstat Database with Example Queries [PDF]

open access: yesAustralian Economic Review, 2014
AbstractThis article provides an introduction to the Patstat patent database. It offers guided examples of 10 popular queries that are relevant for research purposes and that cover the most important data tables. It is targeted at academic researchers and practitioners who are willing to learn the basics of the database.
Gaétan de Rassenfosse   +2 more
openaire   +6 more sources

Query-by-Example On-Device Keyword Spotting [PDF]

open access: yes2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 2019
A keyword spotting (KWS) system determines the existence of, usually predefined, keyword in a continuous speech stream. This paper presents a query-by-example on-device KWS system which is user-specific. The proposed system consists of two main steps: query enrollment and testing.
Yeonseok Kim   +4 more
openaire   +2 more sources

A study of query by semantic example [PDF]

open access: yes2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
In recent years, query-by-semantic-example (QBSE) has become a popular approach to do content based image retrieval. QBSE extends the well established query-by-example retrieval paradigm to the semantic domain. While various authors have pointed out the benefits of QBSE, there are still various open questions with respect to this paradigm.
Nikhil Rasiwasia, Nuno Vasconcelos
openaire   +2 more sources

Bridging the Gap: Query by Semantic Example [PDF]

open access: yesIEEE Transactions on Multimedia, 2007
A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabulary of visual concepts, as is usual in SR. Each image is then represented by a vector, referred to as a semantic multinomial, of posterior concept probabilities.
Rasiwasia, Nikhil   +2 more
openaire   +3 more sources

From Query-By-Keyword to Query-By-Example [PDF]

open access: yesProceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitable candidates for a given position. To improve search efficiency, we propose the next generation of talent search at LinkedIn, also referred to as Search By Ideal Candidates ...
Xianren Wu   +5 more
openaire   +3 more sources

Learning Join Queries from User Examples [PDF]

open access: yesACM Transactions on Database Systems, 2016
We investigate the problem of learning join queries from user examples. The user is presented with a set of candidate tuples and is asked to label them as positive or negative examples, depending on whether or not she would like the tuples as part of the join result.
Bonifati, Angela   +2 more
openaire   +5 more sources

Explaining Wrong Queries Using Small Examples [PDF]

open access: yesProceedings of the 2019 International Conference on Management of Data, 2019
For testing the correctness of SQL queries, e.g., evaluating student submissions in a database course, a standard practice is to execute the query in question on some test database instance and compare its result with that of the correct query. Given two queries $Q_1$ and $Q_2$, we say that a database instance $D$ is a counterexample (for $Q_1$ and ...
Sudeepa Roy, Jun Yang, Zhengjie Miao
openaire   +3 more sources

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