Advanced Storage Structures for Native XML Databases
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Health Sensor Data Management in Cloud
Special Issue - 2015 International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 NCRTS-2015 Conference Proceedings Health Sensor Data Management in Cloud Rashmi Sahu Department of Computer Science and Engineering BMSIT,Avallahalli,Yelahanka,Bangalore Visveswariya Technological University Abstract--Wearable sensor devices with cloud computing uses its software holds 54% of patient records in US and feature have great impact in our daily lives. This 2.5% of patient records in world wide.[9] technology provides services to acquire, consume and share personal health information. Apart from that we can be How resource wastage can be refused by using cloud connected with smart phones through which we can access technology information through sensor devices equipped with our smart phone. Now smartphones has been resulted in the new ways. It is getting embedded with sensor devices such as Suppose there are 3 Hospitals A,B,C.Each hospital cameras, microphones, accelerometers, proximity sensors, maintains their own network database server,they have GPS etc. through which we can track information and management department and softwares,maintainance significant parameter about physiology. Some of the department and softwares.They organizes their own data wearable tech devices are popular today like Jawbone Up and they maintained by their own.But there is resource and Fitbit Flex, HeartMath Inner Balance Sensor, wastage,means three different health organizations Tinke.This paper is survey in area of medical field that utilizing resources having paid and costs three times of represents why cloud technologies used in medical field and single plus waste of data space also.so why can’t we how health data managed in cloud. -
Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and Processing
RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing A collection of attributes and processing rules for extending XHTML to support RDF W3C Recommendation 14 October 2008 This version: http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014 Latest version: http://www.w3.org/TR/rdfa-syntax Previous version: http://www.w3.org/TR/2008/PR-rdfa-syntax-20080904 Diff from previous version: rdfa-syntax-diff.html Editors: Ben Adida, Creative Commons [email protected] Mark Birbeck, webBackplane [email protected] Shane McCarron, Applied Testing and Technology, Inc. [email protected] Steven Pemberton, CWI Please refer to the errata for this document, which may include some normative corrections. This document is also available in these non-normative formats: PostScript version, PDF version, ZIP archive, and Gzip’d TAR archive. The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2008 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The current Web is primarily made up of an enormous number of documents that have been created using HTML. These documents contain significant amounts of structured data, which is largely unavailable to tools and applications. When publishers can express this data more completely, and when tools can read it, a new world of user functionality becomes available, letting users transfer structured data between applications and web sites, and allowing browsing applications to improve the user experience: an event on a web page can be directly imported - 1 - How to Read this Document RDFa in XHTML: Syntax and Processing into a user’s desktop calendar; a license on a document can be detected so that users can be informed of their rights automatically; a photo’s creator, camera setting information, resolution, location and topic can be published as easily as the original photo itself, enabling structured search and sharing. -
Bibliography of Erik Wilde
dretbiblio dretbiblio Erik Wilde's Bibliography References [1] AFIPS Fall Joint Computer Conference, San Francisco, California, December 1968. [2] Seventeenth IEEE Conference on Computer Communication Networks, Washington, D.C., 1978. [3] ACM SIGACT-SIGMOD Symposium on Principles of Database Systems, Los Angeles, Cal- ifornia, March 1982. ACM Press. [4] First Conference on Computer-Supported Cooperative Work, 1986. [5] 1987 ACM Conference on Hypertext, Chapel Hill, North Carolina, November 1987. ACM Press. [6] 18th IEEE International Symposium on Fault-Tolerant Computing, Tokyo, Japan, 1988. IEEE Computer Society Press. [7] Conference on Computer-Supported Cooperative Work, Portland, Oregon, 1988. ACM Press. [8] Conference on Office Information Systems, Palo Alto, California, March 1988. [9] 1989 ACM Conference on Hypertext, Pittsburgh, Pennsylvania, November 1989. ACM Press. [10] UNIX | The Legend Evolves. Summer 1990 UKUUG Conference, Buntingford, UK, 1990. UKUUG. [11] Fourth ACM Symposium on User Interface Software and Technology, Hilton Head, South Carolina, November 1991. [12] GLOBECOM'91 Conference, Phoenix, Arizona, 1991. IEEE Computer Society Press. [13] IEEE INFOCOM '91 Conference on Computer Communications, Bal Harbour, Florida, 1991. IEEE Computer Society Press. [14] IEEE International Conference on Communications, Denver, Colorado, June 1991. [15] International Workshop on CSCW, Berlin, Germany, April 1991. [16] Third ACM Conference on Hypertext, San Antonio, Texas, December 1991. ACM Press. [17] 11th Symposium on Reliable Distributed Systems, Houston, Texas, 1992. IEEE Computer Society Press. [18] 3rd Joint European Networking Conference, Innsbruck, Austria, May 1992. [19] Fourth ACM Conference on Hypertext, Milano, Italy, November 1992. ACM Press. [20] GLOBECOM'92 Conference, Orlando, Florida, December 1992. IEEE Computer Society Press. http://github.com/dret/biblio (August 29, 2018) 1 dretbiblio [21] IEEE INFOCOM '92 Conference on Computer Communications, Florence, Italy, 1992. -
RDF/XML: RDF Data on the Web
Developing Ontologies • have an idea of the required concepts and relationships (ER, UML, ...), • generate a (draft) n3 or RDF/XML instance, • write a separate file for the metadata, • load it into Jena with activating a reasoner. • If the reasoner complains about an inconsistent ontology, check the metadata file alone. If this is consistent, and it complains only when also data is loaded: – it may be due to populating a class whose definition is inconsistent and that thus must be empty. – often it is due to wrong datatypes. Recall that datatype specification is not interpreted as a constraint (that is violated for a given value), but as additional knowledge. 220 Chapter 6 RDF/XML: RDF Data on the Web • An XML representation of RDF data for providing RDF data on the Web could be done straightforwardly as a “holds” relation mapped according to SQLX (see ⇒ next slide). • would be highly redundant and very different from an XML representation of the same data • search for a more similar way: leads to “striped XML/RDF” – data feels like XML: can be queried by XPath/Query and transformed by XSLT – can be parsed into an RDF graph. • usually: provide RDF/XML data to an agreed RDFS/OWL ontology. 221 A STRAIGHTFORWARD XML REPRESENTATION OF RDF DATA Note: this is not RDF/XML, but just some possible representation. • RDF data are triples, • their components are either URIs or literals (of XML Schema datatypes), • straightforward XML markup in SQLX style, • since N3 has a term structure, it is easy to find an XML markup. <my-n3:rdf-graph xmlns:my-n3="http://simple-silly-rdf-xml.de#"> <my-n3:triple> <my-n3:subject type="uri">foo://bar/persons/john</my-n3:subject> <my-n3:predicate type="uri">foo://bar/meta#name</my-n3:predicate> <my-n3:object type="http://www.w3.org/2001/XMLSchema#string">John</my-n3:object> </my-n3 triple> <my-n3:triple> .. -
Basex Server
BaseX Documentation Version 7.8 BaseX Documentation: Version 7.8 Content is available under Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0). Table of Contents 1. Main Page .............................................................................................................................. 1 Getting Started .................................................................................................................. 1 XQuery Portal .................................................................................................................... 1 Advanced User's Guide ..................................................................................................... 2 I. Getting Started ........................................................................................................................ 3 2. Command-Line Options ................................................................................................... 4 BaseX Standalone ..................................................................................................... 4 BaseX Server ............................................................................................................ 6 BaseX Client ............................................................................................................. 7 BaseX HTTP Server .................................................................................................. 9 BaseX GUI ............................................................................................................. -
XML for Java Developers G22.3033-002 Course Roadmap
XML for Java Developers G22.3033-002 Session 1 - Main Theme Markup Language Technologies (Part I) Dr. Jean-Claude Franchitti New York University Computer Science Department Courant Institute of Mathematical Sciences 1 Course Roadmap Consider the Spectrum of Applications Architectures Distributed vs. Decentralized Apps + Thick vs. Thin Clients J2EE for eCommerce vs. J2EE/Web Services, JXTA, etc. Learn Specific XML/Java “Patterns” Used for Data/Content Presentation, Data Exchange, and Application Configuration Cover XML/Java Technologies According to their Use in the Various Phases of the Application Development Lifecycle (i.e., Discovery, Design, Development, Deployment, Administration) e.g., Modeling, Configuration Management, Processing, Rendering, Querying, Secure Messaging, etc. Develop XML Applications as Assemblies of Reusable XML- Based Services (Applications of XML + Java Applications) 2 1 Agenda XML Generics Course Logistics, Structure and Objectives History of Meta-Markup Languages XML Applications: Markup Languages XML Information Modeling Applications XML-Based Architectures XML and Java XML Development Tools Summary Class Project Readings Assignment #1a 3 Part I Introduction 4 2 XML Generics XML means eXtensible Markup Language XML expresses the structure of information (i.e., document content) separately from its presentation XSL style sheets are used to convert documents to a presentation format that can be processed by a target presentation device (e.g., HTML in the case of legacy browsers) Need a -
Odata-Csdl-Xml-V4.01-Os.Pdf
OData Common Schema Definition Language (CSDL) XML Representation Version 4.01 OASIS Standard 11 May 2020 This stage: https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/os/odata-csdl-xml-v4.01-os.docx (Authoritative) https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/os/odata-csdl-xml-v4.01-os.html https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/os/odata-csdl-xml-v4.01-os.pdf Previous stage: https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/cos01/odata-csdl-xml-v4.01-cos01.docx (Authoritative) https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/cos01/odata-csdl-xml-v4.01-cos01.html https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/cos01/odata-csdl-xml-v4.01-cos01.pdf Latest stage: https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/odata-csdl-xml-v4.01.docx (Authoritative) https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/odata-csdl-xml-v4.01.html https://docs.oasis-open.org/odata/odata-csdl-xml/v4.01/odata-csdl-xml-v4.01.pdf Technical Committee: OASIS Open Data Protocol (OData) TC Chairs: Ralf Handl ([email protected]), SAP SE Michael Pizzo ([email protected]), Microsoft Editors: Michael Pizzo ([email protected]), Microsoft Ralf Handl ([email protected]), SAP SE Martin Zurmuehl ([email protected]), SAP SE Additional artifacts: This prose specification is one component of a Work Product that also includes: • XML schemas: OData EDMX XML Schema and OData EDM XML Schema. -
XML: Looking at the Forest Instead of the Trees Guy Lapalme Professor Département D©Informatique Et De Recherche Opérationnelle Université De Montréal
XML: Looking at the Forest Instead of the Trees Guy Lapalme Professor Département d©informatique et de recherche opérationnelle Université de Montréal C.P. 6128, Succ. Centre-Ville Montréal, Québec Canada H3C 3J7 [email protected] http://www.iro.umontreal.ca/~lapalme/ForestInsteadOfTheTrees/ Publication date April 14, 2019 XML to PDF by RenderX XEP XSL-FO Formatter, visit us at http://www.renderx.com/ XML: Looking at the Forest Instead of the Trees Guy Lapalme Professor Département d©informatique et de recherche opérationnelle Université de Montréal C.P. 6128, Succ. Centre-Ville Montréal, Québec Canada H3C 3J7 [email protected] http://www.iro.umontreal.ca/~lapalme/ForestInsteadOfTheTrees/ Publication date April 14, 2019 Abstract This tutorial gives a high-level overview of the main principles underlying some XML technologies: DTD, XML Schema, RELAX NG, Schematron, XPath, XSL stylesheets, Formatting Objects, DOM, SAX and StAX models of processing. They are presented from the point of view of the computer scientist, without the hype too often associated with them. We do not give a detailed description but we focus on the relations between the main ideas of XML and other computer language technologies. A single compact pretty-print example is used throughout the text to illustrate the processing of an XML structure with XML technologies or with Java programs. We also show how to create an XML document by programming in Java, in Ruby, in Python, in PHP, in E4X (Ecmascript for XML) and in Swift. The source code of the example XML ®les and the programs are available either at the companion web site of this document or by clicking on the ®le name within brackets at the start of the caption of each example. -
Integración De XML En Páginas Web Dinámicas DOM
Integración de XML en páginas Web dinámicas DOM Jose Emilio Labra Gayo Departamento de Informática Universidad de Oviedo Motivación: Computación Dinámica Páginas Web estáticas vs. Dinámicas Computación Dinámica = Contenido se genera en el momento en que se hace la petición 2 Posibilidades: Cliente vs Servidor Internet Cliente Servidor GET http://servidor.com/hola.html http:/1.0 200 OK <html> <body> Enlace a <a href =“otro.html”>Otro</a> </body> </html> Computación Dinámica en Servidor Al solicitar ciertas páginas, el servidor genera el contenido Ejemplos: CGI's, Servlets, JSP, ASP, PHP, etc. El proceso es trasparente para el cliente El cliente recibe únicamente código HTML No tiene porqué haber problemas de usabilidad Desventajas La interactividad requiere comunicación entre cliente/servidor Mayor carga de la red y del servidor Desperdicio de las capacidades del cliente Computación dinámica en Cliente Se pueden incluir objetos computacionales que son interpretados por el cliente Varias posibilidades: Applets, Javascript, ... Se ejecutan en el entorno que ofrece el navegador DOM ofrece una API que permite acceder/manipular los elementos del documento También se puede acceder a otros elementos (eventos, barra de estado, etc.) Por seguridad no se permite escribir/leer ficheros JavaScript Un poco de historia Netscape 2 (Dic. 1995) incorporó Javascript (diseñado por Brendan Eich) Permite modificar contenido de páginas Web interactivamente JavaScript no tiene nada que ver con Java Se llamaba LiveScript (cambio de nombre por marketing) Microsoft -
Declarative Access to Filesystem Data New Application Domains for XML Database Management Systems
Declarative Access to Filesystem Data New application domains for XML database management systems Alexander Holupirek Dissertation zur Erlangung des akademischen Grades Doktor der Naturwissenschaften (Dr. rer. nat.) Fachbereich Informatik und Informationswissenschaft Mathematisch-Naturwissenschaftliche Sektion Universität Konstanz Referenten: Prof. Dr. Marc H. Scholl Prof. Dr. Marcel Waldvogel Tag der mündlichen Prüfung: 17. Juli 2012 Abstract XML and state-of-the-art XML database management systems (XML-DBMSs) can play a leading role in far more application domains as it is currently the case. Even in their basic configuration, they entail all components necessary to act as central systems for complex search and retrieval tasks. They provide language-specific index- ing of full-text documents and can store structured, semi-structured and binary data. Besides, they offer a great variety of standardized languages (XQuery, XSLT, XQuery Full Text, etc.) to develop applications inside a pure XML technology stack. Benefits are obvious: Data, logic, and presentation tiers can operate on a single data model, and no conversions have to be applied when switching in between. This thesis deals with the design and development of XML/XQuery driven informa- tion architectures that process formerly heterogeneous data sources in a standardized and uniform manner. Filesystems and their vast amounts of different file types are a prime example for such a heterogeneous dataspace. A new XML dialect, the Filesystem Markup Language (FSML), is introduced to construct a database view of the filesystem and its contents. FSML provides a uniform view on the filesystem’s contents and allows developers to leverage the complete XML technology stack on filesystem data. -
Requirements for XML Document Database Systems Airi Salminen Frank Wm
Requirements for XML Document Database Systems Airi Salminen Frank Wm. Tompa Dept. of Computer Science and Information Systems Department of Computer Science University of Jyväskylä University of Waterloo Jyväskylä, Finland Waterloo, ON, Canada +358-14-2603031 +1-519-888-4567 ext. 4675 [email protected] [email protected] ABSTRACT On the other hand, XML will also be used in ways SGML and The shift from SGML to XML has created new demands for HTML were not, most notably as the data exchange format managing structured documents. Many XML documents will be between different applications. As was the situation with transient representations for the purpose of data exchange dynamically created HTML documents, in the new areas there is between different types of applications, but there will also be a not necessarily a need for persistent storage of XML documents. need for effective means to manage persistent XML data as a Often, however, document storage and the capability to present database. In this paper we explore requirements for an XML documents to a human reader as they are or were transmitted is database management system. The purpose of the paper is not to important to preserve the communications among different parties suggest a single type of system covering all necessary features. in the form understood and agreed to by them. Instead the purpose is to initiate discussion of the requirements Effective means for the management of persistent XML data as a arising from document collections, to offer a context in which to database are needed. We define an XML document database (or evaluate current and future solutions, and to encourage the more generally an XML database, since every XML database development of proper models and systems for XML database must manage documents) to be a collection of XML documents management. -
Using Map and Reduce for Querying Distributed XML Data
Using Map and Reduce for Querying Distributed XML Data Lukas Lewandowski Master Thesis in fulfillment of the requirements for the degree of Master of Science (M.Sc.) Submitted to the Department of Computer and Information Science at the University of Konstanz Reviewer: Prof. Dr. Marc H. Scholl Prof. Dr. Marcel Waldvogel Abstract Semi-structured information is often represented in the XML format. Although, a vast amount of appropriate databases exist that are responsible for efficiently storing semi- structured data, the vastly growing data demands larger sized databases. Even when the secondary storage is able to store the large amount of data, the execution time of complex queries increases significantly, if no suitable indexes are applicable. This situation is dramatic when short response times are an essential requirement, like in the most real-life database systems. Moreover, when storage limits are reached, the data has to be distributed to ensure availability of the complete data set. To meet this challenge this thesis presents two approaches to improve query evaluation on semi- structured and large data through parallelization. First, we analyze Hadoop and its MapReduce framework as candidate for our distributed computations and second, then we present an alternative implementation to cope with this requirements. We introduce three distribution algorithms usable for XML collections, which serve as base for our distribution to a cluster. Furthermore, we present a prototype implementation using a current open source database, named BaseX, which serves as base for our comprehensive query results. iii Acknowledgments I would like to thank my advisors Professor Marc H. Scholl and Professor Marcel Wald- vogel, who have supported me with advice and guidance throughout my master thesis.