Visual query systems for databases: A survey

Visual query systems for databases: A survey (1997)

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by Tiziana Catarci , Maria F. Costabile , Stefano Levialdi , Carlo Batini

Venue:	Journal of Visual Languages and Computing
Citations:	99 - 9 self

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Datum	Value	Source
TITLE	Visual query systems for databases: A survey	INFERENCE
AUTHOR NAME	Tiziana Catarci	SVM HeaderParse 0.2
AUTHOR AFFIL	*Dipartimento di Informatica e Sistemistica, Università di Roma "La Sapienza"	SVM HeaderParse 0.2
AUTHOR ADDR	Via Salaria 113, 00198 Roma,; Italy,	SVM HeaderParse 0.2
AUTHOR NAME	Maria F. Costabile	SVM HeaderParse 0.2
AUTHOR NAME	Stefano Levialdi	SVM HeaderParse 0.2
AUTHOR ADDR	^Dipartimento di Scienze dell'Informazione, Università di Roma "La Sapienza", Via Salaria 113, 00198 Roma, Italy,	SVM HeaderParse 0.2
AUTHOR NAME	Carlo Batini	SVM HeaderParse 0.2
AUTHOR ADDR	^Dipartimento di Scienze dell'Informazione, Università di Roma "La Sapienza", Via Salaria 113, 00198 Roma, Italy,	SVM HeaderParse 0.2
ABSTRACT	Visual query systems (VQSs) are query systems for databases that use visual representations to depict the domain of interest and express related requests. VQSs can be seen as an evolution of query languages adopted into database management systems; they are designed to improve the effectiveness of the human-computer communication. Thus, their most important features are those that determine the nature of the human-computer dialogue. In order to survey and compare existing VQSs used for querying traditional databases, we first introduce a classification based on such features, namely the adopted visual representations and the interaction strategies. We then identify several user types and match the VQS classes against them, in order to understand which kind of system may be suitable for each kind of user. We also report usability experiments which support our claims. Finally, some of the most important open problems in the VQS area are described. 1.	SVM HeaderParse 0.2
YEAR	1997	INFERENCE
VENUE	Journal of Visual Languages and Computing	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	215--260	INFERENCE
VOLUME	8	INFERENCE
CITATIONS	74 found	ParsCit 1.0