1) XML Tools in Perl provides an overview of XML parsing and processing tools available in Perl. It discusses the pros and cons of different parser libraries like XML::Parser, XML::SAX, XML::Twig, XML::LibXML, and XML::Xerces.
2) The document then summarizes different approaches to processing XML like SAX streaming, DOM tree-based parsing, and XPath/XQuery querying. It provides examples of using these approaches with XML::LibXML and XML::XPath.
3) Finally, it discusses best practices for XML parsing and validation including using XML catalogs to cache DTDs and schemas locally, choosing a robust and fast parser like XML::LibXML,
This document provides an overview of DOM and SAX, two common XML APIs in Java. It describes the key differences between DOM and SAX, including that DOM builds an in-memory tree representation, while SAX parses the XML as a stream of events. The document also provides code examples for using SAX to parse XML and extract data, and examples of how to access and manipulate DOM trees after parsing XML.
XMLDB Building Blocks And Best Practices - Oracle Open World 2008 - Marco Gra...Marco Gralike
The document provides an overview of Oracle XMLDB building blocks and best practices. It discusses issues with storing XML data in relational databases, including the impedance mismatch between the XML and relational data models. It also highlights worst practices like not optimizing data access and only using a single table to store all XML data. The document recommends using XML schemas to define logical and physical storage structures and leveraging Oracle XMLDB features like binary XML storage, XML indexes, and partitioning.
Real World Experience With Oracle Xml Database 11g An Oracle Ace’s Perspectiv...Marco Gralike
The document discusses the speaker's experience with Oracle XML Database 11g and provides an overview of key topics. It covers that XML is not relational, how to set up and configure the XML database, XML handling and storage options, the protocol server, using the repository, and data handling functions. The speaker aims to discuss encountered issues and provide tips based on their experience with the XML database.
The document discusses XML parsing and processing. It describes two main approaches:
1) Simple API for XML (SAX) - Parses XML as a sequence of events by using event handlers for start/end tags. This is faster but requires processing elements sequentially.
2) Document Object Model (DOM) - Parses XML into a tree structure of nodes that can be randomly accessed. This allows non-sequential access but uses more memory.
It also discusses the Java API for XML Processing (JAXP) which provides a standardized way to access SAX and DOM parsers from Java code.
César D. Rodas gave a presentation on advanced MongoDB topics at Yahoo! Open Hack Day 2010 in São Paulo, Brazil. The presentation covered MongoDB queries, designing a data model for a blog site, and optimizing the data model to work in a sharded environment. Key points included how to connect to MongoDB from PHP, perform queries and pagination, and configure sharding of the blog and user collections to distribute the databases and collections across multiple servers.
OakTable World 2015 - Using XMLType content with the Oracle In-Memory Column...Marco Gralike
This document discusses using Oracle's in-memory column store capabilities to improve performance of XML data stored and queried using XMLType. Key points include selectively applying in-memory storage to columns and indexes for XML data, issues with optimization and costs not fully accounting for performance gains, and opportunities for further optimization of XML retrieval using DOM/XOM. In-memory storage can significantly boost XML performance but careful design is still required.
This document provides an overview of Java and XML processing using DOM, SAX, and JDOM. It outlines the key components and approaches for each, including parsing XML files into a DOM or SAX event model, traversing nodes and elements, and accessing attributes and content. JDOM is presented as an alternative Java DOM that supports Java collections and provides additional convenience methods for working with XML content.
UKOUG 2011 - Drag, Drop and other Stuff. Using your Database as a File ServerMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how the repository is based on XML standards and can store, consume, generate, and validate XML. It also supports resource manipulation using packages and views. Events and extensions are supported through XML configuration files and schemas. Use cases demonstrate how unstructured files can be stored and metadata extracted for additional processing and display.
This document provides an overview of DOM and SAX, two common XML APIs in Java. It describes the key differences between DOM and SAX, including that DOM builds an in-memory tree representation, while SAX parses the XML as a stream of events. The document also provides code examples for using SAX to parse XML and extract data, and examples of how to access and manipulate DOM trees after parsing XML.
XMLDB Building Blocks And Best Practices - Oracle Open World 2008 - Marco Gra...Marco Gralike
The document provides an overview of Oracle XMLDB building blocks and best practices. It discusses issues with storing XML data in relational databases, including the impedance mismatch between the XML and relational data models. It also highlights worst practices like not optimizing data access and only using a single table to store all XML data. The document recommends using XML schemas to define logical and physical storage structures and leveraging Oracle XMLDB features like binary XML storage, XML indexes, and partitioning.
Real World Experience With Oracle Xml Database 11g An Oracle Ace’s Perspectiv...Marco Gralike
The document discusses the speaker's experience with Oracle XML Database 11g and provides an overview of key topics. It covers that XML is not relational, how to set up and configure the XML database, XML handling and storage options, the protocol server, using the repository, and data handling functions. The speaker aims to discuss encountered issues and provide tips based on their experience with the XML database.
The document discusses XML parsing and processing. It describes two main approaches:
1) Simple API for XML (SAX) - Parses XML as a sequence of events by using event handlers for start/end tags. This is faster but requires processing elements sequentially.
2) Document Object Model (DOM) - Parses XML into a tree structure of nodes that can be randomly accessed. This allows non-sequential access but uses more memory.
It also discusses the Java API for XML Processing (JAXP) which provides a standardized way to access SAX and DOM parsers from Java code.
César D. Rodas gave a presentation on advanced MongoDB topics at Yahoo! Open Hack Day 2010 in São Paulo, Brazil. The presentation covered MongoDB queries, designing a data model for a blog site, and optimizing the data model to work in a sharded environment. Key points included how to connect to MongoDB from PHP, perform queries and pagination, and configure sharding of the blog and user collections to distribute the databases and collections across multiple servers.
OakTable World 2015 - Using XMLType content with the Oracle In-Memory Column...Marco Gralike
This document discusses using Oracle's in-memory column store capabilities to improve performance of XML data stored and queried using XMLType. Key points include selectively applying in-memory storage to columns and indexes for XML data, issues with optimization and costs not fully accounting for performance gains, and opportunities for further optimization of XML retrieval using DOM/XOM. In-memory storage can significantly boost XML performance but careful design is still required.
This document provides an overview of Java and XML processing using DOM, SAX, and JDOM. It outlines the key components and approaches for each, including parsing XML files into a DOM or SAX event model, traversing nodes and elements, and accessing attributes and content. JDOM is presented as an alternative Java DOM that supports Java collections and provides additional convenience methods for working with XML content.
UKOUG 2011 - Drag, Drop and other Stuff. Using your Database as a File ServerMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how the repository is based on XML standards and can store, consume, generate, and validate XML. It also supports resource manipulation using packages and views. Events and extensions are supported through XML configuration files and schemas. Use cases demonstrate how unstructured files can be stored and metadata extracted for additional processing and display.
This document provides a summary of Solr's built-in query parsers. It details the "lucene" query parser, dismax query parser, and other parsers like spatial, boost, term, and prefix parsers. It explains how to specify a query parser and leverage nested querying. The document concludes by covering new features in Solr 4.x like the surround and switch query parsers.
In this On-Demand Webinar, Erik Hatcher, co-founder of Lucid Imagination, co-author of Lucene in Action, and Lucene/Solr PMC member and committer, presents and discusess key features and innovations of Apache Solr 1.4
This document discusses processing SPARQL queries using Java with ARQ. It demonstrates how to execute a SPARQL query on an ontology model, print the results, and analyze various aspects of the query such as retrieving result variables, analyzing query elements like triple patterns, and examining the prefix mappings and expressions. The document provides an overview of executing SPARQL queries programmatically using the ARQ processor for Jena.
This document summarizes XML out-of-band data retrieval attacks using XML external entities. It discusses how XML external entities can be used to retrieve files from remote servers or make requests to external resources. It also covers how entities defined in attributes can be used to bypass restrictions on external entity references. The document demonstrates these attack techniques and outlines tools that can automate XML out-of-band exploitation.
BGOUG 2012 - Drag & drop and other stuff - Using your database as a file serverMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how XML DB Repository stores, consumes, generates and validates XML. It can handle files and folders through various protocols like HTTP(s), FTP and WebDAV. It also supports versioning, XML schemas, and extending XML schema functionality. Events can be handled using event listeners and handlers. Security is provided through default ACLs. Files can be accessed through SQL, PL/SQL and other methods.
Apache Solr is an enterprise search platform built on Apache Lucene. It provides fast, scalable search functionality and allows for spell checking, highlighting, faceting and more. Solr configurations are defined in schema.xml and solrconfig.xml files which specify fields, analyzers, caching and other settings. Documents are indexed and queried via HTTP requests to Solr servers. Liferay can integrate with Solr to offload search indexing and querying for improved performance in clustered environments.
After a thorough overview of the main features and benefits of Apache Solr (an open source search server), the architecture of Solr and strategies to adopt it for your PHP application and data model will be presented. The main lessons learned around dealing with a mix of structured and non-structured content, multilingual aspects, tuning and the various state-of-the-art features of Solr will be shared as well
This document discusses XML processing and provides examples of XML code. It defines XML as an extensible markup language that is a standard for describing data. It explains that XML documents must be well-formed according to XML rules and may also be valid if they conform to a document type definition (DTD) or schema. The document outlines two common approaches for parsing XML documents - DOM and SAX. It also introduces JDom, a Java library that simplifies working with XML documents using either DOM or SAX parsing.
No REST for the Wicked: REST and CatalystJay Shirley
The document provides an overview of REST and how it can be implemented using the Catalyst framework in Perl. It discusses what REST is, how it leverages existing aspects of HTTP like verbs and status codes, and isn't a defined protocol but a set of best practices. It then describes the Catalyst::Action::REST module which makes it easy to build RESTful APIs in Catalyst and supports various serialization formats. Examples are given of performing CRUD operations via REST calls from the command line and how to handle this in browsers using JavaScript and YUI.
Jdom how it works & how it opened the java processHicham QAISSI
The document discusses JDOM, an open source Java library for parsing, manipulating, and outputting XML documents. It provides a straightforward API for working with XML in Java without requiring knowledge of DOM or SAX. JDOM aims to simplify common XML tasks, integrate with existing standards, and stay up to date with evolving XML specifications. It represents an XML document using lightweight Java objects that can be easily traversed, modified, and converted between DOM, SAX, and XML formats.
The use of the code analysis library OpenC++: modifications, improvements, er...PVS-Studio
The document discusses modifications and improvements made to the OpenC++ code analysis library. It describes 15 modifications to the library related to error corrections or adding new functionality. The modifications include adding support for new keywords, skipping compiler-specific keywords, getting values of numerical literals, and fixing file paths. The purpose is to help developers use and improve OpenC++, while also demonstrating how to modify the library code.
Fábio Telles Rodriguez is a consultant and DBA with over 15 years of experience with Oracle and PostgreSQL. The document provides an overview of the history and development of PostgreSQL from its early versions in the 1970s-1990s to its modern features and widespread adoption today. It highlights key milestones like the introduction of procedural languages, data types, extensions, and replication capabilities. The open development process and large ecosystem of forks and extensions are also summarized.
Hin síðari ári hafa komið fram lausnir sem varpa gögnum sjálfkrafa í töflugagnagrunna. Þetta er svoköllum Object-Relational Mapping tól. Þar sem slík vörpun er svo algeng þá má nota svo tól til að framkvæma vörpunina sjálfkrafa. Tilvik af klasa í minni er sjálfkrafa varpað á töflu í gunninum. Eitt tól sem gerir þetta er Hibernate og munum við skoða það nánar.
Við skoðum einnig NoSQL grunna en þessir grunnar hafa komið fram með 21. allar vefkerfum sem þurfa að skala yfir mjög margar nóður. Þar hentar Releational grunnurinn illa og önnur módel hafa verið reynd.
Power to the People: Redis Lua ScriptsItamar Haber
Redis is the Sun.
Earth is your application.
Imagine that the Moon is stuck in the middle of the Sun.
You send non-melting rockets (scripts) with robots
(commands) and cargo (data) back and forth…
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem.
In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover:
*) The smallest learning schema/configuration required
*) Rapid schema evolution workflow
*) Dealing with multiple languages
*) Dealing with misspellings in search
*) Searching phone numbers
Presented at Solr meetup in Montreal, in May 2018.
Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may
Apache Solr is a search platform built on Apache Lucene. It provides powerful indexing and search capabilities along with features like real-time indexing, faceted search, caching, and replication. Solr configuration is done through XML files that define aspects like tokenization, stemming, synonyms, and stop words. Solr uses REST services and exposes a HTTP interface to provide search functionality in a stateless manner.
EXPath: the packaging system and the webapp frameworkFlorent Georges
The document introduces EXPath, an open source initiative for creating portable XML libraries and web application frameworks. It discusses the packaging system for XML libraries, which allows libraries and extensions to be installed and used across different XML technologies and processors. It also describes the Webapp module, which defines a standard way to map HTTP requests to XQuery, XSLT or XProc components to build portable web applications.
This document discusses input/output (I/O) in Java. It covers handling files and directories using the File class, understanding character-based and byte-based streams, and examples of character and binary file input/output. Character I/O uses Readers and Writers, while binary I/O uses DataStreams. A BufferedReader is required to read full lines of text from a file. Formatting output is handled using DecimalFormat since Java has no printf method. Streams can be chained together, such as a FileOutputStream chained to a DataOutputStream for binary file output.
This document provides an introduction to XML and related technologies like libxml2, XSLT, XPath, and XML attacks. It discusses the basics of XML including elements, tags, attributes, and validation. It also describes common XML libraries and tools like libxml2, xmllint, and xsltproc. Finally, it provides an overview of different types of XML attacks like XML injection, XPath injection, XXE, and XSLT injection.
This document discusses XML (eXtensible Markup Language). It defines XML, outlines its advantages over HTML and other data formats. These include being human-readable, industry supported, and allowing validation of data. The document also compares XML to HTML, describes XML technologies like DTDs, schemas, CSS, and XSLT. It explains how to parse and structure XML documents and the role of XML parsers.
This document provides a summary of Solr's built-in query parsers. It details the "lucene" query parser, dismax query parser, and other parsers like spatial, boost, term, and prefix parsers. It explains how to specify a query parser and leverage nested querying. The document concludes by covering new features in Solr 4.x like the surround and switch query parsers.
In this On-Demand Webinar, Erik Hatcher, co-founder of Lucid Imagination, co-author of Lucene in Action, and Lucene/Solr PMC member and committer, presents and discusess key features and innovations of Apache Solr 1.4
This document discusses processing SPARQL queries using Java with ARQ. It demonstrates how to execute a SPARQL query on an ontology model, print the results, and analyze various aspects of the query such as retrieving result variables, analyzing query elements like triple patterns, and examining the prefix mappings and expressions. The document provides an overview of executing SPARQL queries programmatically using the ARQ processor for Jena.
This document summarizes XML out-of-band data retrieval attacks using XML external entities. It discusses how XML external entities can be used to retrieve files from remote servers or make requests to external resources. It also covers how entities defined in attributes can be used to bypass restrictions on external entity references. The document demonstrates these attack techniques and outlines tools that can automate XML out-of-band exploitation.
BGOUG 2012 - Drag & drop and other stuff - Using your database as a file serverMarco Gralike
The document discusses Oracle XML DB Repository and its features. It describes how XML DB Repository stores, consumes, generates and validates XML. It can handle files and folders through various protocols like HTTP(s), FTP and WebDAV. It also supports versioning, XML schemas, and extending XML schema functionality. Events can be handled using event listeners and handlers. Security is provided through default ACLs. Files can be accessed through SQL, PL/SQL and other methods.
Apache Solr is an enterprise search platform built on Apache Lucene. It provides fast, scalable search functionality and allows for spell checking, highlighting, faceting and more. Solr configurations are defined in schema.xml and solrconfig.xml files which specify fields, analyzers, caching and other settings. Documents are indexed and queried via HTTP requests to Solr servers. Liferay can integrate with Solr to offload search indexing and querying for improved performance in clustered environments.
After a thorough overview of the main features and benefits of Apache Solr (an open source search server), the architecture of Solr and strategies to adopt it for your PHP application and data model will be presented. The main lessons learned around dealing with a mix of structured and non-structured content, multilingual aspects, tuning and the various state-of-the-art features of Solr will be shared as well
This document discusses XML processing and provides examples of XML code. It defines XML as an extensible markup language that is a standard for describing data. It explains that XML documents must be well-formed according to XML rules and may also be valid if they conform to a document type definition (DTD) or schema. The document outlines two common approaches for parsing XML documents - DOM and SAX. It also introduces JDom, a Java library that simplifies working with XML documents using either DOM or SAX parsing.
No REST for the Wicked: REST and CatalystJay Shirley
The document provides an overview of REST and how it can be implemented using the Catalyst framework in Perl. It discusses what REST is, how it leverages existing aspects of HTTP like verbs and status codes, and isn't a defined protocol but a set of best practices. It then describes the Catalyst::Action::REST module which makes it easy to build RESTful APIs in Catalyst and supports various serialization formats. Examples are given of performing CRUD operations via REST calls from the command line and how to handle this in browsers using JavaScript and YUI.
Jdom how it works & how it opened the java processHicham QAISSI
The document discusses JDOM, an open source Java library for parsing, manipulating, and outputting XML documents. It provides a straightforward API for working with XML in Java without requiring knowledge of DOM or SAX. JDOM aims to simplify common XML tasks, integrate with existing standards, and stay up to date with evolving XML specifications. It represents an XML document using lightweight Java objects that can be easily traversed, modified, and converted between DOM, SAX, and XML formats.
The use of the code analysis library OpenC++: modifications, improvements, er...PVS-Studio
The document discusses modifications and improvements made to the OpenC++ code analysis library. It describes 15 modifications to the library related to error corrections or adding new functionality. The modifications include adding support for new keywords, skipping compiler-specific keywords, getting values of numerical literals, and fixing file paths. The purpose is to help developers use and improve OpenC++, while also demonstrating how to modify the library code.
Fábio Telles Rodriguez is a consultant and DBA with over 15 years of experience with Oracle and PostgreSQL. The document provides an overview of the history and development of PostgreSQL from its early versions in the 1970s-1990s to its modern features and widespread adoption today. It highlights key milestones like the introduction of procedural languages, data types, extensions, and replication capabilities. The open development process and large ecosystem of forks and extensions are also summarized.
Hin síðari ári hafa komið fram lausnir sem varpa gögnum sjálfkrafa í töflugagnagrunna. Þetta er svoköllum Object-Relational Mapping tól. Þar sem slík vörpun er svo algeng þá má nota svo tól til að framkvæma vörpunina sjálfkrafa. Tilvik af klasa í minni er sjálfkrafa varpað á töflu í gunninum. Eitt tól sem gerir þetta er Hibernate og munum við skoða það nánar.
Við skoðum einnig NoSQL grunna en þessir grunnar hafa komið fram með 21. allar vefkerfum sem þurfa að skala yfir mjög margar nóður. Þar hentar Releational grunnurinn illa og önnur módel hafa verið reynd.
Power to the People: Redis Lua ScriptsItamar Haber
Redis is the Sun.
Earth is your application.
Imagine that the Moon is stuck in the middle of the Sun.
You send non-melting rockets (scripts) with robots
(commands) and cargo (data) back and forth…
Apache Solr is a search engine that can scale from a personal project to a multi-terabyte cloud hosted cluster. At the same time, this ability to scale, tune and adjust to the clients' needs, can make it hard to understand the right aspects of Solr to bring to the problem.
In this session, Alexandre Rafalovitch (an Apache Solr committer) will do a speed run demonstrating how to create and tune a Solr 7.3 instance for a hypothetical Corporate Phone Directory application. It will cover:
*) The smallest learning schema/configuration required
*) Rapid schema evolution workflow
*) Dealing with multiple languages
*) Dealing with misspellings in search
*) Searching phone numbers
Presented at Solr meetup in Montreal, in May 2018.
Backing GitHub repository is: https://github.com/arafalov/solr-presentation-2018-may
Apache Solr is a search platform built on Apache Lucene. It provides powerful indexing and search capabilities along with features like real-time indexing, faceted search, caching, and replication. Solr configuration is done through XML files that define aspects like tokenization, stemming, synonyms, and stop words. Solr uses REST services and exposes a HTTP interface to provide search functionality in a stateless manner.
EXPath: the packaging system and the webapp frameworkFlorent Georges
The document introduces EXPath, an open source initiative for creating portable XML libraries and web application frameworks. It discusses the packaging system for XML libraries, which allows libraries and extensions to be installed and used across different XML technologies and processors. It also describes the Webapp module, which defines a standard way to map HTTP requests to XQuery, XSLT or XProc components to build portable web applications.
This document discusses input/output (I/O) in Java. It covers handling files and directories using the File class, understanding character-based and byte-based streams, and examples of character and binary file input/output. Character I/O uses Readers and Writers, while binary I/O uses DataStreams. A BufferedReader is required to read full lines of text from a file. Formatting output is handled using DecimalFormat since Java has no printf method. Streams can be chained together, such as a FileOutputStream chained to a DataOutputStream for binary file output.
This document provides an introduction to XML and related technologies like libxml2, XSLT, XPath, and XML attacks. It discusses the basics of XML including elements, tags, attributes, and validation. It also describes common XML libraries and tools like libxml2, xmllint, and xsltproc. Finally, it provides an overview of different types of XML attacks like XML injection, XPath injection, XXE, and XSLT injection.
This document discusses XML (eXtensible Markup Language). It defines XML, outlines its advantages over HTML and other data formats. These include being human-readable, industry supported, and allowing validation of data. The document also compares XML to HTML, describes XML technologies like DTDs, schemas, CSS, and XSLT. It explains how to parse and structure XML documents and the role of XML parsers.
This document provides an overview and introduction to XML (eXtensible Markup Language). It discusses the basic rules of XML, parsing XML, XML namespaces, XML schemas, XSLT transformations, and examples of where XML is applied such as web design, web services, mobile web, and content authoring.
- XML and HTML are both markup languages but have different purposes
- XML is used to store and transport data, HTML is used to display web pages
- XML focuses on describing data, HTML focuses on both structure and appearance
- XML allows users to define their own elements while HTML uses a fixed set of predefined tags
The document compares and contrasts HTML and XML. HTML is used to display web pages for humans, while XML is used to store and transport data for processing by computers. Some key differences are that HTML defines both structure and presentation, while XML defines only content. Also, HTML uses a fixed set of predefined tags, whereas XML allows users to define their own tags.
OPP2010 (Brussels) - Programming with XML in PL/SQL - Part 1Marco Gralike
The document provides an overview of XML programming in PL/SQL and Oracle XML DB. It discusses Oracle's XML capabilities and milestones from versions 9i to 11g. It highlights the various XML functions, operators, and packages available in Oracle for XML data handling and processing. It also provides examples of querying XML data stored in different sources using XMLTable and XQuery.
This document provides an overview of XML, XML schema, parsing XML, and GladeXML. It defines XML and its components like elements and attributes. It describes XML schema and provides a simple example. It explains how to parse an XML document into a DOM object and access elements. It also gives an overview of how GladeXML can dynamically load user interfaces from XML descriptions.
Java Course 12: XML & XSL, Web & ServletsAnton Keks
This document provides an overview of XML, XSL, and Java technologies for working with XML. It discusses XML syntax and structure, validation, namespaces, DTDs and XML Schema for validation. It also covers XPath for querying XML, XSLT for transforming XML, and Java APIs including JAXP, JDOM, DOM4J, and JAXB for processing XML using Java.
This document discusses XML principles for data integration and exchange. It provides an overview of XML, including its data model, schema languages like DTDs and XML Schema, and querying languages like XPath and XQuery. XML allows hierarchical and semi-structured data to be encoded and exchanged in a standard format. Schema languages provide structure and typing, while query languages like XPath allow selecting subsets of XML documents.
eXtensible Markup Language (By Dr.Hatem Mohamed)MUFIX Community
XML is used to mark up data so it can be processed by computers, whereas HTML is used to mark up text for display to users. XML allows users to define their own tags, and elements in XML must have both a start and end tag. Well-formed XML requires proper nesting of elements and attributes enclosed in quotes.
Syntax Reuse: XSLT as a Metalanguage for Knowledge Representation LanguagesTara Athan
=We present here MXSL, a subset of XSLT re-interpreted as a syntactic metalanguage for RuleML with operational semantics based on XSLT proc-essing. This metalanguage increases the expressivity of RuleML knowledge bases and queries, with syntactic access to the complete XML tree through the XPath Data Model. The metalanguage is developed in an abstract manner, as a paradigm applicable to other KR languages, in XML or in other formats.
XML stands for Extensible Markup Language and is used to mark up data so it can be processed by computers, whereas HTML is used to mark up text to be displayed for users. Both XML and HTML use elements enclosed in tags, attributes, and entities, but XML only describes content while HTML describes both structure and appearance. XML allows users to define their own tags, and is strictly structured, making it suitable for data processing by computers.
This document provides an overview of XML, including its basic structure and components. XML documents use elements to structure and tag content. Elements must be properly nested within a single root element and can have attributes. The relationships between these elements form a tree structure. XML documents also support comments, processing instructions, and character encoding. CSS and XSLT can be used to display and transform XML for web users. While databases are better for structured data, XML is well suited for loosely structured or large records.
This document discusses XML validation using an XML schema (XSD) file. It provides an example of using an XmlReader with validation enabled to validate an XML file against an XSD schema. The example loads an XML file, validates it using a schema at a given URI, and handles any validation errors, displaying status messages. It demonstrates how to automatically generate an XSD from an XML file in Visual Studio to define the XML structure.
XML is a markup language similar to HTML but designed for structured data rather than web pages. It uses tags to define elements and attributes, and can be validated using DTDs or XML schemas. XML documents can be transformed and queried using XSLT and XPath respectively. SAX is an event-based parser that reads XML sequentially while DOM loads the entire document into memory for random access.
DATA INTEGRATION (Gaining Access to Diverse Data).pptcareerPointBasti
XML provides a standard way to represent and exchange data. It defines elements, which can contain text or other nested elements, and attributes. XML documents can be validated against DTDs or XML schemas, which define allowed structures and datatypes. XML data can be queried using XPath expressions, which select elements or attributes based on their path in the XML tree and optional predicates. XPath allows traversing relationships both vertically and horizontally in the tree structure.
The document discusses different XML parsers in Java including DOM, SAX, and StAX. DOM represents the XML document as an in-memory tree which allows flexible processing but uses more memory. SAX is event-driven and reads the XML sequentially using less memory. StAX is similar to SAX but simplified and "pull"-based where the developer manually navigates elements. The document also covers using JAXP for XML processing independence and the key classes involved in DOM and StAX parsing.
This document summarizes key aspects of XML including:
- XML is a text-based format for describing data structures that is both human and machine readable.
- XML became a W3C standard in 1998 and is commonly used for exchanging data between disparate systems.
- Java can be used to generate, access, format, parse, validate, and transform XML data.
- XML documents have a root element containing other nested elements and attributes to describe hierarchical data.
- Well-formed XML documents follow syntax rules for proper nesting of start/end tags and quotes around attribute values.
- XML parsers like SAX and DOM are used to read XML documents sequentially or build a navigable tree structure in memory
unit_5_XML data integration database managementsathiyabcsbs
The document discusses XML querying using XPath. It begins with an overview of XPath, describing it as a language for defining templates that traverse the XML tree to select nodes. It then provides examples of basic XPath queries on an sample XML document, including queries to select elements, attributes, and text nodes. The document also covers more advanced XPath features such as predicates for filtering query results, different axes for traversing the tree in various directions, and functions for querying node position and order.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
1. XML Tools in Perl
Geir Aalberg
geir@aalberg.com
Nordic Perl Workshop 2006
2. Myths about XML
“Unicode with pointy brackets”
Too hard to parse
All data must be put inside CDATA blocks
Namespaces don't work
XSLT will never take off
What's wrong with using Perl data structures?
3. What is XML?
A syntax
− Simplified SGML, much easier to parse
A data structure
− tree-based, cross.platform
− industry standard tools
A technology family
− SAX, DOM, XPath, XSLT, XQuery
− XHTML, WML, RDF/XML, RSS/Atom, SOAP, ODF, ebXML
5. History of XML
Generalized Markup Language (GML)
− 1969: Invented by Goldfarb, Mosher and Lorie at IBM
− Over 90% of all IBM documents produced using GML
Simple Generalized Markup Language (SGML)
− 1980: First draft by ANSI
− 1986: ISO standard 8879
− Major users include US DoD, AAP
− 1988-96: DSSSL developed into ISO 10179
− 1991: O'Reilly and HaL Computer Systems design DocBook
− 1992: Tim Berners-Lee designs HTML
6. History of XML
Extensible Markup Language (XML)
− 1996: XML Working Group
− 1998: XML 1.0 W3C Recommendation
− 1998: DOM W3C Recommendation
− 1999: XSLT and XPath W3C Recommendations
− 2000: XHTML 1.0 W3C Recommendation
− 2001: XML Schema W3C Recommendation
− 2001: RELAX NG OASIS spec + part of ISO 19757
− 2006: XQuery W3C Recommendation Candidate
8. XML Syntax
Wellformed (legal) XML
− correctly nested opening and closing tags
<foo><bar><baz/></bar></foo>
− [&<>”] must be encoded as entities (or CDATA)
& < > "
− parsing non-wellformed documents must cause fatal error
Encoding
− ASCII, ISO-8859-1 or (default) UTF-8
− Always UTF-8 internally
10. Namespaces
Motivation
− To avoid tag name collisions
− To allow processor handlers in pipeline (e.g. XSLT)
Namespace determined by scope
− much like Perl
Namespace is empty string unless stated otherwise
− Common pitfall when using XPath
The prefix is irrelevant after parsing
− Only the tag name and namespace URI counts
12. Namespace prefixes
Or indeed
<stylesheet version="1.0"
xmlns="http://www.w3.org/1999/XSL/Transform">
<template match="/">
<html xmlns="http://www.w3.org/1999/xhtml">
<body>
<p>This page intentionally left blank.</p>
</body>
</html>
</template>
</stylesheet>
These are all exactly similar!
− Try transforming any XML document with them and load
into Firefox. Use .xhtml extension to force correct MIME
type (application/xhtml+xml).
14. Validation
DTD
− Legacy from SGML
− Does not follow XML syntax (but can be included inline)
− Does not understand namespaces
− Can define entities (unlike schemas)
XML Schema
− Schema used by W3C
RELAX NG
− Schema used by most others
− Both XML and simpler non-XML syntax
15. DTD/Schema generators
Very useful as a starting point
− DTD syntax is pretty arcane and hard to remember
Generate when needed
− may catch typos that will take a long time to debug
Online tools
− http://www.hitsw.com/xml_utilites/
21. Simple API for XML (SAX)
Stream-based parsing
Emphasis on simple
Suitable for large documents
Event handlers for each node (start, content, end)
No way to backtrack/lookahead
Namespace support from v.2 (SAX2)
22. Document Object Model (DOM)
Cross-platform API for processing XML tree
− Same in Perl, C, Java, Javascript et al
− Familiar to AJAX programmers
Set of standard methods
getElementById()
setAttribute()
createElement()
replaceChild()
DOM Level 2 adds namespace support
verbose compared to XPath and XSLT
23. XPath
Developed in conjuction with XSLT spec
Functional query language
/html/body/div[@class="sect"]/h1[count(followingsibling())>1]
One line XPath = 10 lines of Perl
26. XQuery
Similar to SQL, but for XML trees instead of tables
for $b in $books/book[price < 100]
order by $b/title
return $b
Not yet an official W3C Recommendation
Few tools support it yet
28. XML parser libraries
James Clark's expat
− C. Non-standard, stream-based API (but not SAX)
GNOME libxml
− C, with OO Perl bindings
Apache Xerces
− C++ (Also Java)
Platform specific
− .NET (MSXML), Apple Cocoa NSXML
Pure Perl
29. Parser features
expat libxml Xerces .NET NSXML
DTD validation N Y Y Y
XML Schema N Y Y Y?
RELAX NG N Y N ?
Namespaces ? Y Y
SAX2 N Y Y
DOM N Y Y
XPath 1.0 ? Y
XPath 2.0 N ? N N
XQuery N N Partly
gzip N Y
30. command line tools
xmlwf (expat)
− check for wellformedness
xml_pp (XML::Twig)
− code reformatter
xmllint (libxml)
− check/validate documents
format # code reformat/indent
compress # output gzip data
xinclude # process XIncludes
valid # validate before XInclude
postvalid # validate XIncluded document
shell # this is cool!
31. XML::Parser
Perl granddaddy of XML
Based on James Clark's expat
Non-standard API
Expects string input, returns string output
Not suitable for pipeline processing
33. XML::Twig
SAX-like interface on top of expat
Discards nodes after use, suitable for large files
my $twig=XML::Twig>new(
twig_handlers =>
{ title => sub { $_>set_tag( 'h2') }, # change title tags to h2
para => sub { $_>set_tag( 'p') }, # change para to p
hidden => sub { $_>delete; }, # remove hidden elements
list => &my_list_process, # process list elements
div => sub { $_[0]>flush; }, # output and free memory
},
pretty_print => 'indented', # output formatted
empty_tags => 'html', # outputs <empty_tag />
);
34. XML::LibXML
Implements SAX, DOM, XPath (but not XQuery)
Faster and more robust than anything else
Plugins for XUpdate
Mix and match DOM, XPath and XSLT on same tree
Works hand-in-hand with XML::LibXSLT and other
libxml-based modules
36. XML::XPath
More unwieldy than XML::LibXML
use XML::XPath;
use XML::XPath::XMLParser;
my $xp = XML::XPath>new(filename => 'test.xhtml');
my $nodeset = $xp>find('/html/body/div[@class="sect"]/h1');
foreach ($nodeset>get_nodelist) {
printf "%sn", XML::XPath::XMLParser::as_string($_);
}
xpath utility can be handy for debugging
$ xpath transitional.html '/html/head/title/text()'
Found 1 nodes:
NODE
Quick Example
$
37. XML::Xerces
Little or no Perl documentation
− See C++ API at Apache site
38. Pure Perl parsers
XML::SAX::PurePerl
− From author: “XML::SAX::PurePerl is slow. Very slow. I
suggest you use something else in fact.”
XML::Stream::Parser
− 50 % slower than XML::Parser
− Could be useful where installing libraries not possible
41. XML::Smart
Similar to XML::Simple
− each point in the tree work as a hash and an array at the
same time
Caveat
− Some users report encoding problems
43. XML::API
Uses XML Schema to generate methods
XHTML API available
use XML::API::XHTML;
my $x = new XML::API::XHTML();
$x>head_open();
$x>title('Test Page');
$x>head_close();
$x>body_open();
$x>div_open({id => 'content'});
$x>p('A test paragraph');
$x>div_close();
$x>body_close();
$x>_print;
46. XML::RSS
Parser/generator
Supports RSS 0.9, 0.91 and 1.0
XML::RSS::LibXML recommended
− easier to extend with own namespaces
− can be processed further with LibXSLT
47. XML::PYX
Use standard UNIX filters on XML
$ pyxhtml dirty.html | pyxw > clean.html
Can clean up “dirty” HTML
$ pyxhtml dirty.html | pyxw > clean.html
48. XML::XSH
Shell for working inside XML documents
− Similar to xmllint –shell
− Seems to have namespace parsing problems
Use pipes to add remote functionality
xsh> ls DOC:/ │ ssh my.remote.org ’cat > test.xml’
50. XSLT
XML::XSLT
− Perl. Alpha versjon; incomplete. Dead?
XML::LibXSLT
− C. Fast (twice as fast as Sablotron). xsltproc
XML::Sablotron
− C++
XML::Xalan
− Java? Commited to XSLT 2.0. Slower than Saxon
52. Why XHTML?
Faster parsing in browser and spiders
− Said to improve Google PageRank
Better suited for mobile devices
− smaller memory footprint
It's the future!
XHTML 2.0 brings cool stuff
− <section> and <h> for better structuring
− any tag can contain href and src
− XForms
53. XHTML requirements
Must be 100 % legal XML
− Browsers will croak if illegal
<img alt=”Bang & Olufsen 15" speakers”/>
Serve as application/xhtml+xml
− text/html is reserved for SGML
Use correct DTD and namespace
<!DOCTYPE html PUBLIC "//W3C//DTD XHTML 1.0 Transitional//EN"
"http://www.w3.org/TR/xhtml1/DTD/xhtml1transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
54. Template systems
Model-View-Controller (applied on web apps)
− Model = your data
− View = HTML markup
− Controller = everything else?
MVC is only relevant for GUI applications
− “Controllers contain the interface between their associated
models and views and the input devices (e.g., keyboard,
pointing device, time).”
http://c2.com/cgi/wiki?WhatsaControllerAnyway
56. Separating logic from presentation
Hardcoding HTML in Perl
print <<EOT
<p>$name<br/>$address</p>
EOT
Hardcoding Perl in HTML (Mason)
<ul>
% foreach $item (@list) {
<li><% $item %>
% }
</ul>
Both are equally bad
Neither handles entity encoding
57. Common template systems
Must encode entities automatically
Template Toolkit
− Template::Plugin::XML (hopefully)
− Template::Plugin::XML::LibXML (probably)
HTML::Mason
− Does not encode; has no grasp of XML
HTML::Template
− Ditto