Lowering the Barrier of Query Language Skills within Mobile and Web User Interface Environments

2006 ◽  
Author(s):  
Masaki Hasegawa ◽  
Subhash Bhalla
Keyword(s):  
User Interface ◽  
Query Language ◽  
Language Skills

On Querying Data and Metadata in Multiversion Data Warehouse

2010 ◽  
pp. 206-226 ◽  
Author(s):  
Wojciech Leja ◽  
Robert Wrembel ◽  
Robert Ziembicki
Keyword(s):  
User Interface ◽  
Data Warehouse ◽  
Real World ◽  
Query Language ◽  
Data Sources ◽  
User Requirements ◽  
External Data ◽  
Structure Changes ◽  
History Of Evolution ◽  
History Of

Methods of designing a data warehouse (DW) usually assume that its structure is static. In practice, however, a DW structure changes among others as the result of the evolution of external data sources, the changes of the real world represented in a DW, and new user requirements. The most advanced research approaches to managing the evolution of DWs are based on temporal extensions and versioning techniques. An important feature of a DW system supporting evolution is its ability to query different DW states. Such querying is challenging since different DW states may differ with respect to their schemas. As a consequence, a system may not be able to execute a query for some DW states. Our approach to managing the evolution of DWs is based on the so-called Multiversion Data Warehouse (MVDW) that is composed of the sequence of DW versions. In this chapter, we contribute a query language called MVDWQL for querying the MVDW. The MVDWQL supports two types of queries, namely content queries and metadata queries. A content query is used for analyzing the content (i.e., data) of multiple DW versions. A metadata query is used for analyzing the history of evolution of the MVDW. The results of both types of queries are graphically visualized in a user interface.

scholarly journals Development of the information system for semantic identification and documentation of the results of non-formal and informal education

2020 ◽  
pp. 011-021
Author(s):  
S.M. Pryima ◽  
◽  
О.V. Strokan' ◽  
D.V. Lubko ◽  
Yu.O. Lytvyn ◽  
...  
Keyword(s):  
Information System ◽  
User Interface ◽  
Informal Learning ◽  
Labour Market ◽  
Learning Outcomes ◽  
Informal Education ◽  
Query Language ◽  
Research Work ◽  
Formal And Informal Learning ◽  
Ontological Model

We analyse modern approaches to the interaction of the educational services market with the labour market through recognition of non-formal and informal learning outcomes. The authors prove the expediency of semantic technologies used for information processing at the knowledge level. ESCO classifier that combines services of the labour market and the educational market is examined in detail. This classifier allows jobseekers and employers from different EU member states to handle information on learning outcomes more efficiently. The analyzes of practical ESCO classifier usage on example of the European Employment Service (EURES) demonstrates that this approach provides all necessary information for jobseekers abroad. The ontological analysis is an efficient way to model the ideas of various subject domains and it allows to represent formally their semantics. Hence, the research analyzes the ontological model for this information system and its components; in particular, the authors provide the described content of the ESCO ontological model which consists of three elements – occupations, skills and qualifications. The paper offers an information system for semantic identification and documentation of non-formal and informal learning outcomes based on the ESCO ontological model. The authors select and analyze the main stages of the system development: an ontology scheme in the Protege editor is created; the process of integrating the ontology in the RDF-repository is described; the architecture and user interface of the suggested information system are developed. Semantic graphs database GraphDB is used for ontology storage. To implement the addition and modification of data in GraphDB repository, connectors are used. Access to the RDF-repository is provided with SPARQL query language, whose outcomes are represented as result sets or RDF-graphs. In addition, the research justifies the use of React framework for development of the information system user interface. The architecture and user interface of information system proposed in this research work allow to carry out the semantic identification and documentation of non-formal and informal learning outcomes. Thus, they increase the efficiency of managing the information about these outcomes.

scholarly journals CausalTrail: Testing hypothesis using causal Bayesian networks

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 1520
Author(s):  
Daniel Stöckel ◽  
Florian Schmidt ◽  
Patrick Trampert ◽  
Hans-Peter Lenhof
Keyword(s):  
User Interface ◽  
Missing Data ◽  
Bayesian Networks ◽  
Graphical User Interface ◽  
Special Class ◽  
Query Language ◽  
Multiple Data ◽  
Causal Bayesian Networks ◽  
Gene Knockouts ◽  
Downstream Analysis

Summary Causal Bayesian Networks are a special class of Bayesian networks in which the hierarchy directly encodes the causal relationships between the variables. This allows to compute the effect of interventions, which are external changes to the system, caused by e.g. gene knockouts or an administered drug. Whereas numerous packages for constructing causal Bayesian networks are available, hardly any program targeted at downstream analysis exists. In this paper we present CausalTrail, a tool for performing reasoning on causal Bayesian networks using the do-calculus. CausalTrail's features include multiple data import methods, a flexible query language for formulating hypotheses, as well as an intuitive graphical user interface. The program is able to account for missing data and thus can be readily applied in multi-omics settings where it is common that not all measurements are performed for all samples.Availability and Implementation CausalTrail is implemented in C++ using the Boost and Qt5 libraries. It can be obtained from https://github.com/dstoeckel/causaltrail

Remote On-Line Control of a High-Voltage in situ Transmission Electron Microscope with A Rational User Interface

1996 ◽  
Vol 54 ◽  
pp. 384-385
Author(s):  
M.A. O’Keefe ◽  
J. Taylor ◽  
D. Owen ◽  
B. Crowley ◽  
K.H. Westmacott ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
User Interface ◽  
Transmission Electron Microscope ◽  
High Voltage ◽  
Materials Science ◽  
Transmission Electron ◽  
On Line ◽  
Electron Microscopes

Remote on-line electron microscopy is rapidly becoming more available as improvements continue to be developed in the software and hardware of interfaces and networks. Scanning electron microscopes have been driven remotely across both wide and local area networks. Initial implementations with transmission electron microscopes have targeted unique facilities like an advanced analytical electron microscope, a biological 3-D IVEM and a HVEM capable of in situ materials science applications. As implementations of on-line transmission electron microscopy become more widespread, it is essential that suitable standards be developed and followed. Two such standards have been proposed for a high-level protocol language for on-line access, and we have proposed a rational graphical user interface. The user interface we present here is based on experience gained with a full-function materials science application providing users of the National Center for Electron Microscopy with remote on-line access to a 1.5MeV Kratos EM-1500 in situ high-voltage transmission electron microscope via existing wide area networks. We have developed and implemented, and are continuing to refine, a set of tools, protocols, and interfaces to run the Kratos EM-1500 on-line for collaborative research. Computer tools for capturing and manipulating real-time video signals are integrated into a standardized user interface that may be used for remote access to any transmission electron microscope equipped with a suitable control computer.

Language Skills Blossom From STEM

ASHA Leader ◽  
2017 ◽  
Vol 22 (5) ◽  
pp. 24-25
Author(s):  
Shelley D. Hutchins
Keyword(s):  
Language Skills

Early Hearing Diagnosis Key to Language Skills

ASHA Leader ◽  
2006 ◽  
Vol 11 (14) ◽  
pp. 5-33
Author(s):  
Dee Naquin Shafer
Keyword(s):  
Language Skills
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