XML Schema Part 2

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This document discusses declaring attributes in XML schemas. Attributes can be declared in schemas to facilitate validating XML documents. Attributes are declared using an attribute element, which can specify the attribute's name, type, allowed values, etc. Attributes can be declared globally to enable reuse across elements. Schemas also allow restricting attribute and element values using simple type definitions and the restriction element. Examples are provided of restricting age to a numeric range and gender to a fixed set of options.

Q5M1 - XML Dudy Fathan Ali S.Kom
XML Schema
Q5M1 - XML
Dudy Fathan Ali, S.Kom (DFA)
2015
CEP - CCIT
Fakultas Teknik Universitas Indonesia

Declaring Attributes in a Schema
Q5M1 - XML Dudy Fathan Ali S.Kom
Attributes in an XML schema are declared in the same way as
elements.
Declaring attributes in an XML schema facilitates the assimilation of
information for an XML document.
Attribute declarations can be defined in two ways:
Simple type definitions: Facilitates local validation of the
attribute information.
Global attribute declarations: Enables reuse of attributes.
Attribute

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
In XSD, an attribute for a user-defined element is declared
using the attribute element.
The syntax for declaring an attribute in XSD is:
<attribute name="attributename"
ref="attributename"
type="datatypename" use="value" value="value">
</attribute>
The attribute element contains attributes that are used to
further qualify and restrict the scope and usage of the user-
defined attribute.

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
The attribute element consists of the following attributes:
name
ref
type
use

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
The attribute element consists of the following attributes:
name
ref
type
use
Is used to specify the name of a user-defined attribute.
Must be used when the schema element is the parent
element of the attribute element.
Colon (:) should not be included in the value of the
name attribute.

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
The attribute element consists of the following attributes:
name
ref
type
use
Is used to refer to a user-defined attribute declared either
in the same or in any other XSD document.

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
The attribute element consists of the following attributes:
name
ref
type
use
Takes a value that specifies the data type of the user-
defined attribute.
<xsd:attribute name="PRODUCTID"
type="xsd:string">
OR
<xsd:attribute name="PRODID" type="myID">

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom
The attribute element consists of the following attributes:
name
ref
type
use Specifies the way in which an attribute can be used in an
XML document.
Values that can be assigned to the use attribute are
optional, default, required, and fixed.
<xsd:attribute name="baseprice“ type="xsd:integer“ use="optional" />
<xsd:attribute name="baseprice“ type="xsd:integer“ default="25" />
<xsd:attribute name="baseprice“ type="xsd:integer“ use="required" />
<xsd:attribute name="baseprice“ type="xsd:integer" fixed="600“ />

Attribute Element
Q5M1 - XML Dudy Fathan Ali S.Kom

Global Attribute
Q5M1 - XML Dudy Fathan Ali S.Kom
Global attributes are declared outside all element declarations.
Global attributes facilitate attribute reusability.
Global attributes can be associated with simple and complex
data types.
Global attributes have the schema element as the parent
element.
<xsd:schema>
<xsd:attribute name="NAME" type="xsd:string"/>
</xsd:schema>

Global Attribute
Q5M1 - XML Dudy Fathan Ali S.Kom
A global attribute can be reused from anywhere in a schema
<xsd:element name="BOOK" type="BOOKTYPE"/>
<xsd:complexType name="BOOKTYPE">
……..
<xsd:attribute ref="NAME"/>
……..
</xsd:complexType>
<xsd:element name="AUTHOR" type="AUTHORTYPE"/>
<xsd:complexType name="AUTHORTYPE">
……..
<xsd:attribute ref="NAME"/>
……..
</xsd:complexType>

Global Attribute
Q5M1 - XML Dudy Fathan Ali S.Kom

XSD Restrictions
Q5M1 - XML Dudy Fathan Ali S.Kom
In order to restrict values that can be assigned to an attribute
or element:
Declare the attribute or element and associate it with a user-
defined simple data type.
Create a simple data type by using the XSD simpleType
element.
Use the XSD restriction element within the simpleType
element to restrict the values that can be assigned to the
elements or attributes that use the simple data type.

Restricting Values
Q5M1 - XML Dudy Fathan Ali S.Kom
Example Code

Restrictions on Values
Q5M1 - XML Dudy Fathan Ali S.Kom
Consider of this following code, The following example defines an element called "age"
with a restriction. The value of age cannot be lower than 0 or greater than 150:

Restrictions on Values
Q5M1 - XML Dudy Fathan Ali S.Kom
Consider of this following code, The following example defines an element called "gender"
with a restriction. The only acceptable value is Male OR Female:

Restrictions for Datatypes
Q5M1 - XML Dudy Fathan Ali S.Kom
Source : w3schools.com

Q5M1 - XML Dudy Fathan Ali S.Kom
Thank You!
Dudy Fathan Ali S.Kom
dudy.fathan@eng.ui.ac.id

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This guide highlights the best 10 free AI character chat platforms available today, covering a range of options from emotionally intelligent companions to adult-focused AI chats. Each platform brings something unique—whether it's romantic interactions, fantasy roleplay, or explicit content—tailored to different user preferences. From Soulmaite’s personalized 18+ characters and Sugarlab AI’s NSFW tools, to creative storytelling in AI Dungeon and visual chats in Dreamily, this list offers a diverse mix of experiences. Whether you're seeking connection, entertainment, or adult fantasy, these AI platforms provide a private and customizable way to engage with virtual characters for free.

May Patch TuesdayIvanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

TrustArc Webinar: Cross-Border Data Transfers in 2025TrustArc

In 2025, cross-border data transfers are becoming harder to manage—not because there are no rules, the regulatory environment has become increasingly complex. Legal obligations vary by jurisdiction, and risk factors include national security, AI, and vendor exposure. Some of the examples of the recent developments that are reshaping how organizations must approach transfer governance: - The U.S. DOJ’s new rule restricts the outbound transfer of sensitive personal data to foreign adversaries countries of concern, introducing national security-based exposure that privacy teams must now assess. - The EDPB confirmed that GDPR applies to AI model training — meaning any model trained on EU personal data, regardless of location, must meet lawful processing and cross-border transfer standards. - Recent enforcement — such as a €290 million GDPR fine against Uber for unlawful transfers and a €30.5 million fine against Clearview AI for scraping biometric data signals growing regulatory intolerance for cross-border data misuse, especially when transparency and lawful basis are lacking. - Gartner forecasts that by 2027, over 40% of AI-related privacy violations will result from unintended cross-border data exposure via GenAI tools. Together, these developments reflect a new era of privacy risk: not just legal exposure—but operational fragility. Privacy programs must/can now defend transfers at the system, vendor, and use-case level—with documentation, certification, and proactive governance. The session blends policy/regulatory events and risk framing with practical enablement, using these developments to explain how TrustArc’s Data Mapping & Risk Manager, Assessment Manager and Assurance Services help organizations build defensible, scalable cross-border data transfer programs. This webinar is eligible for 1 CPE credit.

React Native for Business Solutions: Building Scalable Apps for SuccessAmelia Swank

Middle East and Africa Cybersecurity Market Trends and Growth Analysis Preeti Jha

Building a research repository that works by Clare CadyUXPA Boston

Are you constantly answering, "Hey, have we done any research on...?" It’s a familiar question for UX professionals and researchers, and the answer often involves sifting through years of archives or risking lost insights due to team turnover. Join a deep dive into building a UX research repository that not only stores your data but makes it accessible, actionable, and sustainable. Learn how our UX research team tackled years of disparate data by leveraging an AI tool to create a centralized, searchable repository that serves the entire organization. This session will guide you through tool selection, safeguarding intellectual property, training AI models to deliver accurate and actionable results, and empowering your team to confidently use this tool. Are you ready to transform your UX research process? Attend this session and take the first step toward developing a UX repository that empowers your team and strengthens design outcomes across your organization.

Scientific Large Language Models in Multi-Modal Domainssyedanidakhader1

SQL Database Design For Developers at PhpTek 2025.pptxScott Keck-Warren

AI needs Hybrid Cloud - TEC conference 2025.pptxShikha Srivastava

AI and Meaningful Work by Pablo Fernández VallejoUXPA Boston

As organizations rush to "put AI everywhere," UX professionals find themselves at a critical inflection point. Beyond crafting efficient interfaces that satisfy user needs, we face a deeper challenge: how do we ensure AI-powered systems create meaningful rather than alienating work experiences? This talk confronts an uncomfortable truth: our standard approach of "letting machines do what machines do best" often backfires. When we position humans primarily as AI overseers or strip analytical elements from roles to "focus on human skills," we risk creating technically efficient but professionally hollow work experiences. Drawing from real-world implementations and professional practice, we'll explore four critical dimensions that determine whether AI-augmented work remains meaningful: - Agency Level: How much genuine control and decision-making scope remains? - Challenge Dimension: Does the work maintain appropriate cognitive engagement? - Professional Identity: How is the core meaning of work impacted? - Responsibility-Authority Gap: Do accountability and actual control remain aligned? Key takeaways of this talk include: - A practical framework for evaluating AI's impact on work quality - Warning signs of problematic implementation patterns - Strategies for preserving meaningful work in AI-augmented environments - Approaches for influencing implementation decisions This session assumes familiarity with organizational design challenges but focuses on emerging patterns rather than technical implementation. It aims to equip UX professionals with new perspectives for shaping how AI transforms work—not just how efficiently it performs tasks.

Digital Technologies for Culture, Arts and Heritage: Insights from Interdisci...Vasileios Komianos

Keynote speech at 3rd Asia-Europe Conference on Applied Information Technology 2025 (AETECH), titled “Digital Technologies for Culture, Arts and Heritage: Insights from Interdisciplinary Research and Practice". The presentation draws on a series of projects, exploring how technologies such as XR, 3D reconstruction, and large language models can shape the future of heritage interpretation, exhibition design, and audience participation — from virtual restorations to inclusive digital storytelling.

Secondary Storage for a microcontroller systemfizarcse

Computer Systems Quiz Presentation in Purple Bold Style (4).pdffizarcse

Google DeepMind’s New AI Coding Agent AlphaEvolve.pdfderrickjswork

In a landmark announcement, Google DeepMind has launched AlphaEvolve, a next-generation autonomous AI coding agent that pushes the boundaries of what artificial intelligence can achieve in software development. Drawing upon its legacy of AI breakthroughs like AlphaGo, AlphaFold and AlphaZero, DeepMind has introduced a system designed to revolutionize the entire programming lifecycle from code creation and debugging to performance optimization and deployment.

Longitudinal Benchmark: A Real-World UX Case Study in Onboarding by Linda Bor...UXPA Boston

This is a case study of a three-part longitudinal research study with 100 prospects to understand their onboarding experiences. In part one, we performed a heuristic evaluation of the websites and the getting started experiences of our product and six competitors. In part two, prospective customers evaluated the website of our product and one other competitor (best performer from part one), chose one product they were most interested in trying, and explained why. After selecting the one they were most interested in, we asked them to create an account to understand their first impressions. In part three, we invited the same prospective customers back a week later for a follow-up session with their chosen product. They performed a series of tasks while sharing feedback throughout the process. We collected both quantitative and qualitative data to make actionable recommendations for marketing, product development, and engineering, highlighting the value of user-centered research in driving product and service improvements.

Integrating FME with Python: Tips, Demos, and Best Practices for Powerful Aut...Safe Software

FME is renowned for its no-code data integration capabilities, but that doesn’t mean you have to abandon coding entirely. In fact, Python’s versatility can enhance FME workflows, enabling users to migrate data, automate tasks, and build custom solutions. Whether you’re looking to incorporate Python scripts or use ArcPy within FME, this webinar is for you! Join us as we dive into the integration of Python with FME, exploring practical tips, demos, and the flexibility of Python across different FME versions. You’ll also learn how to manage SSL integration and tackle Python package installations using the command line. During the hour, we’ll discuss: -Top reasons for using Python within FME workflows -Demos on integrating Python scripts and handling attributes -Best practices for startup and shutdown scripts -Using FME’s AI Assist to optimize your workflows -Setting up FME Objects for external IDEs Because when you need to code, the focus should be on results—not compatibility issues. Join us to master the art of combining Python and FME for powerful automation and data migration.

ICDCC 2025: Securing Agentic AI - Eryk Budi Pratama.pdfEryk Budi Pratama

Title: Securing Agentic AI: Infrastructure Strategies for the Brains Behind the Bots As AI systems evolve toward greater autonomy, the emergence of Agentic AI—AI that can reason, plan, recall, and interact with external tools—presents both transformative potential and critical security risks. This presentation explores: > What Agentic AI is and how it operates (perceives → reasons → acts) > Real-world enterprise use cases: enterprise co-pilots, DevOps automation, multi-agent orchestration, and decision-making support > Key risks based on the OWASP Agentic AI Threat Model, including memory poisoning, tool misuse, privilege compromise, cascading hallucinations, and rogue agents > Infrastructure challenges unique to Agentic AI: unbounded tool access, AI identity spoofing, untraceable decision logic, persistent memory surfaces, and human-in-the-loop fatigue > Reference architectures for single-agent and multi-agent systems > Mitigation strategies aligned with the OWASP Agentic AI Security Playbooks, covering: reasoning traceability, memory protection, secure tool execution, RBAC, HITL protection, and multi-agent trust enforcement > Future-proofing infrastructure with observability, agent isolation, Zero Trust, and agent-specific threat modeling in the SDLC > Call to action: enforce memory hygiene, integrate red teaming, apply Zero Trust principles, and proactively govern AI behavior Presented at the Indonesia Cloud & Datacenter Convention (IDCDC) 2025, this session offers actionable guidance for building secure and trustworthy infrastructure to support the next generation of autonomous, tool-using AI agents.

Multi-Agent AI Systems: Architectures & Communication (MCP and A2A)HusseinMalikMammadli

Risk Analysis 101: Using a Risk Analyst to Fortify Your IT Strategyjohn823664

Discover how a minor IT glitch became the catalyst for a major strategic shift. In this real-world story, follow Emma, a CTO at a fast-growing managed service provider, as she faces a critical data backup failure—and turns to a risk analyst from remoting.work to transform chaos into clarity. This presentation breaks down the essentials of IT risk analysis and shows how SMBs can proactively manage cyber threats, regulatory gaps, and infrastructure vulnerabilities. Learn what a remote risk analyst really does, why structured risk management matters, and how remoting.work delivers vetted experts without the overhead of full-time hires. Perfect for CTOs, IT managers, and business owners ready to future-proof their IT strategy. 👉 Visit remoting.work to schedule your free risk assessment today.

Mastering Testing in the Modern F&B Landscapemarketing943205

Dive into our presentation to explore the unique software testing challenges the Food and Beverage sector faces today. We’ll walk you through essential best practices for quality assurance and show you exactly how Qyrus, with our intelligent testing platform and innovative AlVerse, provides tailored solutions to help your F&B business master these challenges. Discover how you can ensure quality and innovate with confidence in this exciting digital era.