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Query-by-example

Proceedings of the June 7-10, 1976, national computer conference and exposition on - AFIPS '76, 1976
Query-by-Example is a high level non-procedural data base language which provides the end user with a simplified unified interface for querying, updating, defining, and maintaining, the data base, as well as imbedding various integrity and authority constraints.
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Fast polygon mesh querying by example

ACM SIGGRAPH 99 Conference abstracts and applications, 1999
The reusability of three-dimensional models has lead to a proliferation in the number and size of 3D object repositories. These typically store objects in the some polygon mesh file format and allow selection by means of categories and keywords. While keyword searches are useful in many circumstances, they suffer from the subjectivity, ambiguity and ...
James Gain, James Scott
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Query-By-Example (QBE)

1998
Data Query Languages were developed in the early seventies when the man-machine interface was, by today’s standards, limited and rudimentary. In particular, interaction with the computer was through the processing of batched jobs, where jobs (computation requests such as “run this program on that data”, “evaluate this database query”, etc) were ...
Hermann Maurer   +3 more
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Query by example for web services

Proceedings of the 2008 ACM symposium on Applied computing, 2008
Web services have acquired enormous popularity among software developers and researchers due to the increasing levels of flexibility required by current distributed applications. However, service search facilities are still rather difficult to use. This paper presents WSQBE, a search method that aims at assisting service discoverers by generating a ...
Marco Crasso   +2 more
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A Pictorial Query-By-Example Language

Journal of Visual Languages & Computing, 1995
Abstract A symbolic image is an array representing a set of objects and a set of spatial relations among them. Symbolic images and related structures have been used in a number of applications including image databases, spatial reasoning, path planning and spatial pattern matching.
Dimitris Papadias, Timos Sellis
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Code query by example

Enterprise Information Systems, 2010
We introduce code query by example for customisation of evolvable software products in general and of enterprise resource planning systems (ERPs) in particular. The concept is based on an initial empirical study on practices around ERP systems. We motivate our design choices based on those empirical results, and we show how the proposed solution helps ...
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Query By Example

1990
In diesem Kapitel lernen Sie die Abfragesprache Query By Example kennen. Es zeigt, wie Sie Daten nach verschiedenen Kriterien auswahlen, mit Datenbankfeldern rechnen und die Daten statistisch auswerten konnen. Zudem lernen Sie, mehrere Datenbankdateien miteinander zu verknupfen und abzufragen.
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Music Recognition Algorithms Using Queries by Example

2018 Joint Conference - Acoustics, 2018
With the appearance of audio databases novel information retrieval methods are required. A natural way of searching in a musical audio database is by humming or whistling the tune of a song as a query, which is the so-called “query by humming”. In this study five different techniques for effective and efficient querying by humming are described and ...
Marta Jaczynska   +2 more
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A psychological study of query by example

Proceedings of the May 19-22, 1975, national computer conference and exposition on - AFIPS '75, 1975
Many different query systems have been proposed. One way to partition extant and hypothetical query systems is on the basis of how English-like they are. One approach for an easy-to-use query system is to allow the user to state a question in natural English. The system may then disambiguate the possible interpretations of this question on the basis of
John C. Thomas, John D. Gould
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Query-by-example using speaker content graphs

Interspeech 2012, 2012
We describe methods for constructing and using content graphs for query-by-example speaker recognition tasks within a large speech corpus. This goal is achieved as follows: First, we describe an algorithm for constructing speaker content graphs, where nodes represent speech signals and edges represent speaker similarity. Speech signal similarity can be
William M. Campbell, Elliot Singer
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