A homogeneous relational model and query languages for temporal databases

1988 ◽  
Vol 13 (4) ◽  
pp. 418-448 ◽  
Author(s):  
Shashi K. Gadia
Keyword(s):  
Query Languages ◽  
Temporal Databases ◽  
Relational Model

Toward a Visual Query System for Spatio-Temporal Databases

2009 ◽  
pp. 987-1002
Author(s):  
Valéria M.B. Cavalcanti ◽  
Ulrich Schiel ◽  
Claudio de Souza Baptista
Keyword(s):  
Query Languages ◽  
Temporal Databases ◽  
Temporal Database ◽  
Database Queries ◽  
Integrated Environment ◽  
Visual Query ◽  
Query System ◽  
Spatio Temporal ◽  
Temporal Dimensions ◽  
Query Systems

Visual query systems (VQS) for spatio-temporal databases, which enable formulation of queries involving both spatial and temporal dimensions, are an important research subject. Existing results treat these dimensions separately and there are only a few integrated proposals. This chapter presents a VQS called spatio-temporal visual query environment (S-TVQE), which allows the formulation of conventional, spatial, temporal, and spatio-temporal database queries in an integrated environment. With S-TVQE, the user, instead of querying the database by textual query languages will interact with the system by visual operators for the statement of the query conditions. The tool provides a visualization of the results in different formats such as maps, graphics, and tables.

Towards a Visual Query System for Spatio-Temporal Databases

2011 ◽  
pp. 158-173
Author(s):  
Valéria M.B. Cavalcanti
Keyword(s):  
Query Languages ◽  
Temporal Databases ◽  
Temporal Database ◽  
Database Queries ◽  
Integrated Environment ◽  
Visual Query ◽  
Query System ◽  
Spatio Temporal ◽  
Temporal Dimensions ◽  
Query Systems

Visual Query Systems (VQS) for Spatio-Temporal Databases; which enable formulation of queries involving both spatial and temporal dimensions; are an important research subject. Existing results treat these dimensions separately and there are only a few integrated proposals. This chapter presents a VQS; called Spatio-Temporal Visual Query Environment (S-TVQE) which allows the formulation of conventional; spatial; temporal; and spatio-temporal database queries in an integrated environment. With S-TVQE the user; instead of querying the database by textual query languages will interact with the system by visual operators for the statement of the query conditions. The tool provides a visualization of the results in different formats such as maps; graphics; and tables.

Towards a relational model of workplace aggression

2007 ◽  
Author(s):  
Aaron C. H. Schat ◽  
M. Sandy Hershcovis ◽  
E. Kevin Kelloway
Keyword(s):  
Workplace Aggression ◽  
Relational Model

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

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