eScience for molecular-scale simulations and the e Minerals project

2008 ◽  
Vol 367 (1890) ◽  
pp. 967-985 ◽  
Author(s):  
E.K.H Salje ◽  
E Artacho ◽  
K.F Austen ◽  
R.P Bruin ◽  
M Calleja ◽  
...  
Keyword(s):  
Data Representation ◽  
Information Delivery ◽  
Metadata Management ◽  
Data Systems ◽  
Large Parameter ◽  
Xml Data ◽  
Molecular Scale ◽  
Technological Developments ◽  
Metadata Harvesting ◽  
New Generation

We review the work carried out within the e Minerals project to develop eScience solutions that facilitate a new generation of molecular-scale simulation work. Technological developments include integration of compute and data systems, developing of collaborative frameworks and new researcher-friendly tools for grid job submission, XML data representation, information delivery, metadata harvesting and metadata management. A number of diverse science applications will illustrate how these tools are being used for large parameter-sweep studies, an emerging type of study for which the integration of computing, data and collaboration is essential.

Web Retrieval of XML Documents

2011 ◽  
pp. 170-199
Author(s):  
Barbara Catania ◽  
Elena Ferrari
Keyword(s):  
Expressive Power ◽  
Data Representation ◽  
Query Languages ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Xml Data ◽  
Web Documents ◽  
Web Retrieval ◽  
Heterogeneous Data Sources ◽  
The Web

Web is characterized by a huge amount of very heterogeneous data sources, that differ both in media support and format representation. In this scenario, there is the need of an integrating approach for querying heterogeneous Web documents. To this purpose, XML can play an important role since it is becoming a standard for data representation and exchange over the Web. Due to its flexibility, XML is currently being used as an interface language over the Web, by which (part of) document sources are represented and exported. Under this assumption, the problem of querying heterogeneous sources can be reduced to the problem of querying XML data sources. In this chapter, we first survey the most relevant query languages for XML data proposed both by the scientific community and by standardization committees, e.g., W3C, mainly focusing on their expressive power. Then, we investigate how typical Information Retrieval concepts, such as ranking, similarity-based search, and profile-based search, can be applied to XML query languages. Commercial products based on the considered approaches are then briefly surveyed. Finally, we conclude the chapter by providing an overview of the most promising research trends in the fields.

Sampled-Data Systems, Revisited: Reflections, Recollections, and Reassessments

1980 ◽  
Vol 102 (4) ◽  
pp. 208-217 ◽  
Author(s):  
E. I. Jury
Keyword(s):  
Digital Signal ◽  
Sampling Period ◽  
Data Systems ◽  
Sampled Data ◽  
Recent Emergence ◽  
New Development ◽  
Technological Developments ◽  
Discrete Interval ◽  
Discrete Theory ◽  
The Impact

A review of the progress made in sampled-data systems during the last thirty years is presented in this paper. In particular the impact of the discrete theory on the continuous counterpart is mentioned. Additionally, the limiting process of discrete system theory when the discrete interval (or the sampling period) goes to zero, is discussed. Recent emergence of digital signal processing and digital filters as an aftermath of sampled-data systems is brought into focus as well as the technological developments which aided in this new development. The paper concludes with a critical view of the past achievements in this field as well as indications of possible future developments.

XML data representation for testing automation

2003 ◽  
Author(s):  
A. Bagnasco ◽  
M. Chirico ◽  
A.M. Scapolla ◽  
E. Amodei
Keyword(s):  
Data Representation ◽  
Xml Data

scholarly journals INTERACTIVE ELECTROTEXTILES - ON THE WAY TO THE TEXTILES OF THE FUTURE

2019 ◽  
Vol 2019 ◽  
pp. 20-23
Author(s):  
Ozan KAYACAN
Keyword(s):  
Well Being ◽  
Interactive Technologies ◽  
Medical Security ◽  
Different Types ◽  
The Future ◽  
Recent Developments ◽  
Technological Developments ◽  
Major Application ◽  
Recent Trends ◽  
New Generation

As a result of changing needs and technological developments; interactive technologies became a part of our daily life. Among the other structures, textile based interactive products are getting more and more attention because of their flexible, comfortable and cleanable characteristics with other structural advantages. In the early stages of the investigations, the combination of electronics and textiles were seemed not to be practicable in view of their opposite properties. With the successful results of scientific studies, the integration of electronic components into textiles offers great advantages. These products, called 'the textiles of the future', involve different functions like protection, actuation, communication etc. Various industries such as medical, security, entertainment and sport/well-being develop different types of new generation product using these functions. The development of smart wear is a new challenge for the textile and clothing industry. It has to develop products based not only on design, fashion and comfort concepts but also in terms of functions. In this study, recent developments about smart/interactive garments have been reviewed. Major application areas and futuristic R&D directions for smart textiles were investigated. Recent trends, market researches, future projections and latest developments about interactive electrotextile products have been introduced.

A Narrative Review of Storing and Querying XML Documents Using Relational Database

2019 ◽  
Vol 18 (04) ◽  
pp. 1950048
Author(s):  
Amjad Qtaish ◽  
Mohammad T. Alshammari
Keyword(s):  
Relational Database ◽  
File Systems ◽  
Data Representation ◽  
Xml Data ◽  
Xml Documents ◽  
Data Interchange ◽  
Extensible Markup ◽  
Data Environment ◽  
Object Oriented Database ◽  
The Web

Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for managing XML data to date. Because of the structure variations of XML and RDB, the need to map XML data to an RDB scheme is increased. This growth has prompted numerous researchers and database vendors to propose different approaches to map XML documents to an RDB, translating different types of XPath queries to SQL queries and returning the results to an XML format. This paper aims to comprehensively review most cited and latest mapping approaches and database vendors that use RDB solution to store and query XML documents, in a narrative manner. The advantages and the drawbacks of each approach is discussed, particularly in terms of storing and querying. The paper also provides some insight into managing XML documents using RDB solution in terms of storing and querying and contributes to the XML community.

XML Benchmarking

2010 ◽  
pp. 309-327 ◽  
Author(s):  
Irena Mlynkova
Keyword(s):  
Data Representation ◽  
Xml Data ◽  
Xml Technologies ◽  
Open Issues

Since XML technologies have become a standard for data representation, numerous methods for processing XML data emerge every day. Consequently, it is necessary to compare the newly proposed methods with the existing ones, as well as analyze the effect of a particular method when applied to various types of data. In this chapter, the auhtors provide an overview of existing approaches to XML benchmarking from the perspective of various applications and show that to date the problem has been highly marginalized. Therefore, in the second part of the chapter they discuss persisting open issues and their possible solutions.

XML Object Identification

2014 ◽  
pp. 140-170
Keyword(s):  
Entity Resolution ◽  
Data Representation ◽  
Object Identification ◽  
Document Management ◽  
Future Research ◽  
Xml Data ◽  
Xml Document ◽  
Peer To Peer Systems ◽  
Structured Information ◽  
Algorithm Base

For the ability to represent data from a wide variety of sources, XML is rapidly emerging as the new standard for data representation and exchange on Web and e-government. To effectively use XML data in practice, entity resolution, which has been proven extremely useful in data fusion, inconsistency detection, and data repairing, must be in place to improve the quality of the XML data. In this chapter, the authors deal specifically with object identification on XML data, the application of which includes XML document management in highly dynamic applications like the Web and peer-to-peer systems, detection of duplicate elements in nested XML data, and finding similar identities among objects from multiple Web sources. The authors survey techniques of pairwise and groupwise entity resolution for XML data, which adopt structured information to describe the similarity or distance of XML data, like XML document and XML elements in document, and find the matching pairs which describe same object or classify them into separate groups, each group corresponding to the same object in real world. There are a lot of ways to describe the XML structure and content, such as a tree, Bayesian network, and set. The authors introduce some well-known algorithm base on these structures to solve matching XML data problems. Finally, the authors discuss directions for future research.

Google Rules

2020 ◽  
Author(s):  
Joanne Elizabeth Gray
Keyword(s):  
Public Interest ◽  
Policy Debate ◽  
Technological Environment ◽  
The Public ◽  
Digital Copyright ◽  
The Social ◽  
Technological Developments ◽  
Private Actors ◽  
New Generation ◽  
Rule Making

Google Rules traces the rise of Google through its legal, commercial, and political negotiations over copyright. The first part of the book shows how the public interest suffers in a digital copyright policy debate dominated by powerful industry stakeholders. The second part explores Google’s contributions to digital copyright and the copyright policies that Google enforces across its own platforms. Increasingly, Google self-regulates and negotiates with media and entertainment companies to privately devise copyright rules. Google then deploys algorithmic regulatory technologies to enforce those rules. Google’s private copyright rule-making and algorithmic enforcement limits transparency and accountability in digital copyright governance and privileges private interest and values over the public interest. Today, Google reigns over a technological and economic order that features empowered private actors and rapidly changing technological conditions. How to effectively regulate Google—in an evolving technological environment and in order to achieve public interest outcomes—is one of the most pressing policy questions of our time. Google Rules provides several strategies for taking up this challenge. While the parameters may be narrowly set upon one firm and one area of intellectual property law, ultimately, the book is a contribution to a much broader conversation about a new generation of monopolistic companies, born from the technological developments of the digital age, and the social, political, and economic influence they have acquired in contemporary society.

Integration of product design, process planning, scheduling, and FMS control using XML data representation

2010 ◽  
Vol 26 (6) ◽  
pp. 583-595 ◽  
Author(s):  
Dušan N Šormaz ◽  
Jaikumar Arumugam ◽  
Ramachandra S Harihara ◽  
Chintankumar Patel ◽  
Narender Neerukonda
Keyword(s):  
Product Design ◽  
Design Process ◽  
Process Planning ◽  
Data Representation ◽  
Xml Data ◽  
Product Design Process
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