scholarly journals XQuery, XSLT and JSON

2012 ◽  
Author(s):  
Jonathan Robie
Keyword(s):  
Data Structures ◽  
Working Group ◽  
Query Language ◽  
The Internet ◽  
Nosql Databases ◽  
Common Solution ◽  
Transformation Language ◽  
Working Groups ◽  
Efficient Processing ◽  
Intermediate Results

XML and JSON have become the dominant formats for exchanging data on the Internet, and applications frequently need to send and receive data in many different JSON-based or XML-based formats, consuming or producing data in JSON, XML, or HTML. JSON has not yet developed an application stack as mature as the XML application stack; for instance, there is still no standard query language, transformation language, or schema language. And the XML application stack has not yet evolved to easily process JSON. There are several areas where the XML stack should evolve to better support developers who work with JSON together with XML, and the features needed to support JSON in XQuery and XSLT also provide data structures that simplify writing queries and transformations, and allow more efficient processing of intermediate results when processing XML. As JSON becomes increasingly common in databases, and is exchanged among servers, these same kinds of tools may even become important in environments that use only JSON. This paper focuses on queries and transformations, looking at JSON support in several NoSQL databases, the JSONiq proposal (which adds JSON objects and arrays to XQuery), and the XSLT maps proposal (which adds maps that can represent JSON objects and arrays). At the time of writing, the W3C XML Query Working Group and the W3C XSL Working Group are considering several proposals for supporting JSON. The Working Groups expect to agree on a common solution that can be used in both XSLT and XQuery.

Think Tanks in East Asia in Need of More Cooperation and More Networking: NEAT after its Ten Years

2012 ◽  
Vol 04 (03) ◽  
pp. 91-96
Author(s):  
John WONG
Keyword(s):  
East Asia ◽  
Working Group ◽  
Regional Cooperation ◽  
Process Research ◽  
Think Tanks ◽  
Relevant Research ◽  
The Past ◽  
Research Institutes ◽  
Working Groups ◽  
Important Progress

NEAT is a loosely constituted regional scheme under the ASEAN plus Three (APT) framework. Its main objectives are to promote exchange among APT scholars and research institutes in the region, and to promote relevant research that can facilitate the APT regional cooperation process. Research is done through organising Working Groups. NEAT has made important progress in the past 10 years. To grow and expand in future, it will have to improve on its networking function and strengthen its Working Group mechanism.

scholarly journals NORMALIZATION IN DATABASE DESIGN

2018 ◽  
Vol 4 (1) ◽  
pp. 34
Author(s):  
Zainul Efendy
Keyword(s):  
Data Structures ◽  
Query Language ◽  
Database Design ◽  
Simple Solution ◽  
Transaction Model ◽  
Model Form

This research is done to find a simple solution how to find a normalization techniques are appropriate in database design, normalization techniques has several steps of which are forms of abnormal, normalization first, normalization 2st and normalization 3st, only 3 stages rare to be discussed in this study, as in lectures often find their students do not understand to implement this normalization techniques. The results of this study include determining the database data structures, forming sql (structural query language) by using MySQL DBMS and prototype transaction model form.

scholarly journals Performance Benchmarking of Key-Value Store NoSQL Databases

2018 ◽  
Vol 8 (6) ◽  
pp. 5333
Author(s):  
Omoruyi Osemwegie ◽  
Kennedy Okokpujie ◽  
Nsikan Nkordeh ◽  
Charles Ndujiuba ◽  
Samuel John ◽  
...  
Keyword(s):  
Data Storage ◽  
Web Applications ◽  
Query Language ◽  
Research Work ◽  
Database Systems ◽  
Nosql Databases ◽  
Performance Benchmarking ◽  
Nosql Database ◽  
Structured Query Language ◽  
Web Developers

<p>Increasing requirements for scalability and elasticity of data storage for web applications has made Not Structured Query Language NoSQL databases more invaluable to web developers. One of such NoSQL Database solutions is Redis. A budding alternative to Redis database is the SSDB database, which is also a key-value store but is disk-based. The aim of this research work is to benchmark both databases (Redis and SSDB) using the Yahoo Cloud Serving Benchmark (YCSB). YCSB is a platform that has been used to compare and benchmark similar NoSQL database systems. Both databases were given variable workloads to identify the throughput of all given operations. The results obtained shows that SSDB gives a better throughput for majority of operations to Redis’s performance.</p>

MonogDB

2017 ◽  
pp. 64-91
Author(s):  
Sonali Tidke
Keyword(s):  
Management System ◽  
Database Management ◽  
Query Language ◽  
Database Management System ◽  
Management Model ◽  
Nosql Databases ◽  
Performance Indexes ◽  
And Behavior ◽  
Relational Database Management ◽  
Partitioning Technique

MongoDB is a NoSQL type of database management system which does not adhere to the commonly used relational database management model. MongoDB is used for horizontal scaling across a large number of servers which may have tens, hundreds or even thousands of servers. This horizontal scaling is performed using sharding. Sharding is a database partitioning technique which partitions large database into smaller parts which are easy to manage and faster to access. There are hundreds of NoSQL databases available in the market. But each NoSQL product is different in terms of features, implementations and behavior. NoSQL and RDBMS solve different set of problems and have different requirements. MongoDB has a powerful query language which extends SQL to JSON enabling developers to take benefit of power of SQL and flexibility of JSON. Along with support for select/from/where type of queries, MongoDB supports aggregation, sorting, joins as well as nested array and collections. To improve query performance, indexes and many more features are also available.

Peer-to-Peer SIP for Mobile Computing

2011 ◽  
pp. 326-347 ◽  
Author(s):  
Erkki Harjula ◽  
Jani Hautakorpi ◽  
Nicklas Beijar ◽  
Mika Ylianttila
Keyword(s):  
Information Technology ◽  
Working Group ◽  
Task Force ◽  
Peer To Peer ◽  
Current Status ◽  
The Internet ◽  
Heterogeneous Environments ◽  
Information Technology Industry ◽  
Related Research ◽  
Technology Industry

Due to the increasing popularity of Peer-to-Peer (P2P) computing, the information technology industry and standardization organizations have started to direct their efforts on standardizing P2P algorithms and protocols. The Internet Engineering Task Force (IETF) has recently formed the Peer-to-Peer SIP (P2PSIP) working group for enabling serverless operation of Session Initiation Protocol (SIP). This chapter introduces the P2PSIP by presenting its background and purpose, operational principles, current status, and application areas. The focus is on the challenges and problem areas from the viewpoint of standardization and related research. The mobile- and heterogeneous environments are considered with special care. The authors provide a glance to the existing and emerging solutions that may be used in tackling the mentioned challenges and thus paving the way for successful deployment of P2PSIP in mobile environments.

scholarly journals 29. Stellar Spectra

1970 ◽  
Vol 14 (1) ◽  
pp. 319-329
Author(s):  
M. W. Feast ◽  
Y. Fujita ◽  
M. K. V. Bappu ◽  
G. Herbig ◽  
L. Houziaux ◽  
...  
Keyword(s):  
Mass Loss ◽  
Working Group ◽  
White Dwarfs ◽  
Vice President ◽  
Stellar Atmospheres ◽  
High Dispersion ◽  
Stellar Rotation ◽  
Stellar Spectra ◽  
Working Groups ◽  
Main Activity

Material for this report was collected by the President, Vice-President and Members of the Organizing Committee. The President is, however, responsible for the form in which the report now appears. A number of special abbreviations in the references are explained in the report of Committee 27a. In addition, 3rd Harvard = 3rd Harvard-Smithsonian Conference on Stellar Atmospheres (1968). The field of Commission 29 overlaps particularly with those of 9, 27a, 36, 44 and 45 whose reports should be consulted. Since the last IAU meeting 29 has co-sponsored the following meetings: IAU Colloquium No. 4 on Stellar Rotation (Columbus, Ohio, September 1969); IAU Symposium No. 36, Ultraviolet Stellar Spectra and Related Ground-Based Observations (Lunteren, June, 1969); Second Trieste Colloquium, Mass Loss from Stars (September, 1968). We are also co-sponsoring IAU Symposium No. 42 on White Dwarfs to be held in Scotland (August, 1970). The thanks of the commission are due to their representatives on the organizing committees of these meetings. Reports from some working groups are appended. The working group with Commission 44 has not felt it necessary to submit a report (its main activity was the organization of Symposium No. 36). Miss Underhill (Chairman) recommends that the working group on Tracings of High Dispersion Stellar Spectra be dissolved.

8 Years Working of ENTRAP’s Working Group on Non-Destructive Testing of Waste Packages

2001 ◽  
Author(s):  
M. Bruggeman ◽  
P. Van Iseghem ◽  
R. Odoj ◽  
Ch. Lierse von Gostomski ◽  
R. Dierckx
Keyword(s):  
Nuclear Waste ◽  
Information Exchange ◽  
Working Group ◽  
The State ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
European Organisation ◽  
Eu Member States ◽  
Working Groups ◽  
Non Destructive

Abstract ENTRAP is a European organisation grouping nuclear waste quality checking laboratories from different EU member states. The main objectives of ENTRAP are information exchange and harmonisation between the laboratories. ENTRAP works on different aspects of quality checking of nuclear waste packages. The working items are treated in different working groups and one of these working groups is WGA, dealing with non-destructive assay techniques for waste packages. This paper discusses the main achievements made by WGA, and gives a summary of the state-of-the-practice of assay techniques used for quality checking of nuclear waste packages in the different member laboratories.

No-FSQL

2016 ◽  
Vol 5 (2) ◽  
pp. 54-63 ◽  
Author(s):  
Ines BenAli-Sougui ◽  
Minyar Sassi Hidri ◽  
Amel Grissa-Touzi
Keyword(s):  
Query Language ◽  
Nosql Databases ◽  
Database Model ◽  
Precise Data ◽  
Hands On ◽  
Ambiguous Data

NoSQL (Not only SQL) is an efficient database model for storing and manipulating huge quantities of precise data. However, most NoSQL databases scale well as data grows and often are flexible enough to accommodate imprecise and ambiguous data. This comprehensive hands-on guide presents fundamental concepts and practical solutions for using fuzziness with NoSQL to deals with fuzzy databases (FDB). In this paper, the authors present a graph-based fuzzy NoSQL model to deal with large fuzzy databases while extending the NoSQL one. The authors consider the cypher declarative query language proposed for Neo4j which is the current leader on this market to querying fuzzy databases.

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