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Introduction To Semantic Web

Published by Tracey George Modified over 9 years ago

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Presentation on theme: "Introduction To Semantic Web"— Presentation transcript:

Dr. Leo Obrst MITRE Information Semantics Information Discovery & Understanding Command & Control Center February 6, 2014February 6, 2014February 6, 2014.

CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.

CS570 Artificial Intelligence Semantic Web & Ontology 2

By Ahmet Can Babaoğlu Abdurrahman Beşinci.  Suppose you want to buy a Star wars DVD having such properties;  wide-screen ( not full-screen )  the extra.

Basics of Knowledge Management ICOM5047 – Design Project in Computer Engineering ECE Department J. Fernando Vega Riveros, Ph.D.

Using the Semantic Web to Construct an Ontology- Based Repository for Software Patterns Scott Henninger Computer Science and Engineering University of.

The Web of data with meaning... By Michael Griffiths.

Ontology Notes are from:

1 Introduction to XML. XML eXtensible implies that users define tag content Markup implies it is a coded document Language implies it is a metalanguage.

COMP 6703 eScience Project Semantic Web for Museums Student : Lei Junran Client/Technical Supervisor : Tom Worthington Academic Supervisor : Peter Strazdins.

Semantic Web Mobile Internet Technical Architecture Omair Javed Institute of Software Systems Tampere University of Technology.

Intelligent Systems Semantic Web. Aims of the session To introduce the basic concepts of semantic web ontologies.

RDF: Building Block for the Semantic Web Jim Ellenberger UCCS CS5260 Spring 2011.

Semantic Web Presented by: Edward Cheng Wayne Choi Tony Deng Peter Kuc-Pittet Anita Yong.

The RDF meta model: a closer look Basic ideas of the RDF Resource instance descriptions in the RDF format Application-specific RDF schemas Limitations.

From SHIQ and RDF to OWL: The Making of a Web Ontology Language

Samad Paydar Web Technology Laboratory Computer Engineering Department Ferdowsi University of Mashhad 1389/11/20 An Introduction to the Semantic Web.

Computer communication B Introduction to the Semantic Web.

1 DCS861A-2007 Emerging IT II Rinaldo Di Giorgio Andres Nieto Chris Nwosisi Richard Washington March 17, 2007.

Developing a Basic Web Page with HTML

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Tutorial on Semantic Web

Full, cca. 3.5–4 hours’ worth of introductory tutorial to Semantic Web. The targeted audience is techies who have a good knowledge of the Web in general, have programming experience or at least minimal knowledge, and want to understand what this beast is all about…

This is an evolving slide set, updated regularly. The slides are available in: Powerpoint and PDF formats.

Last modified: $Date: 2010/11/25 15:47:40 $

Here you can download a powerpoint presentation for each chapter.

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Get our captivating Semantic Web presentation template, crafted to best fit with Microsoft PowerPoint and Google Slides presentations, to describe the extension of the World Wide Web that focuses on adding context and meaning to web content by utilizing metadata and linked data.

These informative slides are best suited for professionals working in web development, data science, and artificial intelligence fields. Using this animated deck, you can demonstrate the semantic web with the choice of components. You can also display the architecture, advantages, and components of the semantic web. We have meticulously crafted this set with an innovative and creative approach. Get it right away!

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• Preferences

SEMANTIC WEB TECHNOLOGY - PowerPoint PPT Presentation

SEMANTIC WEB TECHNOLOGY

Semantic web technology. ontology. aristotle points out in ... canary. sing. yellow. breathe. is_a. can. has. is_a. can. is. can. semantic net. snow. slippery ... – powerpoint ppt presentation.

• Aristotle points out in his Ethics
• what we have to learn to do, we learn from doing
• Time spend? Browsing
• Searching information
• Extracting information agent ?
• Maintaining structured text sources
• Automatic document generation
• Semantics define a concept's meaning
• In a manner that is both unambiguous and universally correct in meaning.
• Enterprise-wide and global challenges require the content and representation to be more closely related domain specific concepts
• Such as using shared ontologies(Gruber, 1993, Guarino, 1998)
• Data conflict, relationships, generalization
• ontology\Heterogeneity_DoC_Conf_ 4_May_05.pdf
• Semantic relationship
• Data has objective meaning
• enabling it to be dynamically found and used by computers
• According to the W3C,
• "The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
• An extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation
• ontology\OWL Web Ontology Language Use Cases and Requirements.htm
• Difficult to find, organize, access, maintain
• Large content of unstructured and semi structured natural language text
• Knowledge become distributed, dynamic and ubiquitous
• Semantic engine
• Knowledge technologies by AI web developer rdf xml gt new semantic web language gtbring knowledge to community.
• Extension of current web
• To being human-readable using WWW
• Doc annotated with meta-information
• To cope with heterogeneous representation of web resources
• Machine processable way
• Explicit representation of meta-info domain theories to enable web to provide a qualitatively new level of service.
• Various automated servcies web services
• Provide info in machine-understandable form
• eg, ontology
• Domain Ontologies
• Ontologies Association
• Reusability of 4 Domain Ontologies
• Modularization
• KPML(Korean Medicine Prescription Markup Language)
• Ontologies based Markup Language
• Prescription Document
• KMS for Prescription
• Typical Oriental Medicine Books
• Overview of Oriental Medicine Wonkwang University Press
• Foundation of Chinese Medicine
• Handbook of Chinese Medicine
• BangYalHapPeun
• Dictionary of Oriental Medicine
• DongEuBoGam
• Domain Expert
• Professors 2 Dept. of Oriental Medicine
• Ontology Common shared conceptualization of some domain that can be communicated between people and application systems
• Real-world modeling
• Concepts Independencies
• Reusability and Modularity
• Dependencies
• Reusability problems
• a way of describing a domain by defining the concepts of this domain and the relationship between them
• In the web and artificial intelligence domains, an ontology is a document or file that formally defines the kinds of objects in the domain and the relationship between them.
• The most typical kind of ontology for the Web has a definitional taxonomy and a set of axioms.
• w3c - A working document which describes the requirements for a Web Ontology Language and relates this to the development of a Semantic Web
• Structured DB sources, semi-structured and unstructured web data
• Heterogeneous data sources
• Analyzed shared data
• Knowledge acquisition
• Automatic knowledge extraction from unstructured and semi-structured data in data repository
• Knowledge representation
• Represent knowledge in an ontology language provide with query
• Knowledge maintenance
• Ontology middleware to support maintenace, development and, use of knowledge based
• Knowledge use
• Information access tools- finding, sharing, summarizing, visualizing, browsing, organizing knowlege
• OntoWrapper knowledge extraction from semi-structured info
• OntoExtract extract data from unstructured info
• OntoEdit support the creation, maintenance and population of ontologies in a variety of data formats.
• OIL-core ontology repository
• OntoWrapper
• OntoExtract
• RDF repository (SESAME system)
• A generic architecture for storing and querying RDF and RDF schema
• RDFs (resource description framework schema)
• Extends to specify domain vocabulary and object structures enrichment of the web.
• Ontology middleware module (OMM)
• Range of info access tools for the semantic web
• QuizRDF semantic search engine for browsing and querying RDF-annotated information resources
• Spectacle-a visualization and browsing tool for ontology-based info.
• Ontoshare an RDF-based system which supports knowledge sharing, using semantic web tech to create an ontology-based info resource automatically from the information to share
• is a knowledge representation formalism, a reasoner
• (http//ontomap.ontotext.com/)
• for upper-level ontologies and lexical semantics.
• The KR language is more complex than RDF(S) and is pretty similar to OWL Lite.
• The portal provides access to the most popular upper-level and lexical resources, together with hand-crafted mappings between them. It includes a number of alternative viewers HTML, DHTML, stand-alone GUI application.
• ontology\Portal - OntoWeb Ontology.htm
• This portal serves the academic and industry community that is interested in ontology research
• Semantic Web technologies and could benefit from an ontology language is The Open Directory Project a large, comprehensive human-edited directory of the Web. It is constructed and maintained by a vast, global community of volunteer editors
• ontology\ODP - Open Directory Project.htm
• A semantic markup language for Web resources
• Karlsruhe Ontology and Semantic Web Tool Suite
• Web Ontology language
• UDDI (Universal Desc, Discovery and Integration of Web Servies)
• WSDL (Web Service Description Language)
• SWWS (Semantic Web enabled Web Services)
• Provide a comprehensive Web Service description framework
• Define a Web Service discovery framework
• Provide a scalable Web Service mediation platform.
• Ontotext is responsible for the software infrastructure within the project.
• ..\reference\ontology and service - crm.pdf
• ..\reference\ICON Project Result.pdf
• Development of appropriate ontologies for the domain and application
• Five step methodology for application driven ontology development
• Once ontologies is created, has to manage store, aligned,maintain, track their evolution
• OIL - http//www.ontoknolwege.org/oil
• DAML OIL http//w3.org/submission/2001/12
• Tools for knowledge dissemination in a virtual organization
• P2P computing paradigm
• Truly global semantic web prospects
• Denise A. D. Bedford Enterprise Taxonomies - Context, Structures Integration, Presentation to American Society of Indexers ,Annual Conference Arlington Virginia May 15, 2004
• T.B. Rajashekar, Taxonomies And Ontologies, An Exploratory Overview, National Centre for Science Information Indian Institute of Science, Bangalore, 2003
• David George, Understanding Structural and Semantic Heterogeneity in the Context of Database Schema Integration, Department of Computing, University of Central Lancashire, Preston UK
• Rudi Studer, Siggi Handschuh, Alexander Maedche, Steffen Staab, York Sure, Semantic Web for Generalized Knowledge Management, Institute AIFB, University of Karlsruhe, NSF-EU Workshop Semantic Web Sophia Antibolis October 3-5, 2001
• Mommsen Ghosh, Dona, ONTOLOGY-BASED REPOSITORY FOR SPECIFYING INVESTMENT ADVISORY SERVICES AS A KNOWLEDGE PRODUCT, University of Fribourg, Department of Informatics, Rue Fauchigny 2, 1700 Fribourg, Switzerland
• A Guide to Creating Your First Ontology. http//protege.stanford.edu/publications/ontology_ development/ontology101.html.
• Chandrasekaran, B., et al. (1999). "What are ontologies, and why do we need them?" IEEE Intelligent Systems 14(1) 20-26.
• Yang, S. J. H., Chen, I. Y. L., Shao, N. W. Y. (2004). Ontology Enabled Annotation and Knowledge Management for Collaborative Learning in Virtual Learning Community. Educational Technology Society, 7 (4), 70-81.
• Knowledge Management In Geodise, Geodise Knowledge Management Team, University of Southampton
• University of Manchester, Epistemics Ltd.
• Paulo Gottgtroy, Nik Kasabov, Stephen MacDonel, lBuilding Evolving Ontology Maps for Data Mining and Knowledge Discovery in Biomedical Informatics, Knowledge Engineering and Discovery Institute, Auckland University of Technology
• Reagan W. Moore, Architecture for Repositories, San Diego Supercomputer Center, Workshop on Research Challenges in Digital Archiving Towards a National Infrastructure for Long-Term Preservation of Digital Information
• Web Generation Research Group, Knowledge The Keyword of the 21st Century
• Eric Yu, Knowledge Management Organizations and Systems

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About the Developers

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Microsoft Power BI Blog

Power bi june 2024 feature summary.

Welcome to the June 2024 update. Here are a few, select highlights of the many we have for Power BI. You can now download large semantic models, Power BI enhanced report format (PBIR), and Subfolder support in Power BI Report Builder.  There is much more to explore, please continue to read on!

European Fabric Community Conference

Join us at Europe’s first Fabric Community Conference , the ultimate Power BI, Fabric, SQL & AI learning event in Stockholm, Sweden from September 24 -27, 2024 .

With 120 sessions, daily keynotes, 10 pre-conference workshops, an expo hall with community lounge, and “ask the expert” area, the conference offers a rich learning experience you don’t want to miss. This is a unique opportunity to meet the Microsoft teams building these products, customers betting their business on them, and partners at the forefront of deployment and adoption.

Register today using code MSCUST for an exclusive discount or double your value with our limited-time 2-for-1 sale on June 20 !

Get certified on Fabric!

We’d like to thank the thousands of you who completed the Fabric AI Skills Challenge and earned a free voucher for Exam DP-600 which leads to the Fabric Analytics Engineer Associate certification.

If you earned a free voucher, you can find redemption instructions in your email. We recommend that you schedule your exam now, before your discount voucher expires on June 24th. All exams must be scheduled and completed by this date.  

If you need a little more help with exam prep, visit the Fabric Career Hub which has expert-led training, exam crams, practice tests and more.

Attention Power BI users! 

If you are accessing Power BI on a web browser version older than Chrome 94, Edge 94, Safari 16.4, Firefox 93, or equivalent, you need upgrade your web browser to a newer version by August 31, 2024 . Using an outdated browser version after this date, may prevent you from accessing features in Power BI.

• Version number: v: 2.130.754.0
• Date published: 6/11/2024

• Power BI Home in Desktop is now generally available! 

Download large semantic models

New info functions, new visuals in appsource, word cloud by powerviz, drill down timeline pro by zoomcharts, attribute control chart by nova silva, download button by jta, new updates for accoplanning (release 69), subfolder support in power bi report builder.

Visual calculations update

Support for scatter plot and maps

You have asked, and we’ve delivered: scatter plots and maps are now supported with visual calculations! This means you can now add visual calculations to these visual types. Please note that the play axis is not yet supported.

Highlights in visual matrix

If you look closely at the previous screenshots, you might notice we have added a highlight to the visual matrix to indicate which visual calculation you are editing. We plan to rely on the visual matrix to make working with visual calculations even easier in the future. This highlight is just the first step of our plans.

For more information about visual calculations read our documentation . Please try the preview today and  let us know what you think .

Power BI Home in Desktop is now generally available!

We are excited to announce that the new Power BI Home in Desktop is now generally available! Introduced last February, this update brings new functionalities that make it easier for users to create reports. With data sources directly accessible from the home screen and enhanced discoverability features like the recommendation section and the quick access list, getting started is simpler than ever.

Check out the documentation to learn more about all the new features and start using them today.

We are thrilled to announce that you can now download your large semantic models to Power BI Desktop as a .pbix file! Previously you could only edit reports connected to these models in live connected report mode . Now you can open and edit your reports and the large model itself as a .pbix file all within Desktop! This unlocks the full end to end Desktop authoring experience you know and love for your large semantic models.

Learn more information including limitations in our documentation .

New INFO functions are available in June 2024. All the INFO functions are DAX function versions of existing Analysis Services Dynamic Management Views (DMVs), so that documentation is provided here for additional information.

And all INFO functions can now take optional input parameters . As DMVs these optional input parameters are called restrictions. For all the INFO functions this includes their columns, but some have additional restrictions. INFO.CALCDEPENCY can specify QUERY as one if it’s restrictions, or optional input parameters, allowing you to analyze the items in the semantic model needed for that DAX query. This is helpful when analyzing what is being used by the semantic model in a DAX query from a visual in a report.

For example, these are valid uses of INFO functions with and without the input parameters:

Learn more at

• INFO functions blog 
• Deep dive into DAX query view

Additionally, a bug with the copy functionality of the results grid has been fixed. Previously, if the results included a blank cell the copy did not work. Now copy works with blank cells, and we included a right-click copy as well as the option to choose if you want to copy the entire table or just the selected cells from the copy button.

Copy > Entire table will include the headers. Copy > Selected cells by selecting all the cells, including if you click the table icon in the top left of the results, will not include the headers.

Show Visuals as Tables

We strive to make the Power BI mobile app as accessible as possible for everyone. That’s why, in this month’s update, we’ve added the Show Visuals as Tables view mode to all reports. Use this feature to instantly view all the visuals (excluding slicers, cards, and non-data-driven visuals) in your report as table visuals. This feature makes it possible for users who rely on accessibility screen readers to read the underlying data presented in each visual. It also benefits users who prefer to see their data in tabular form, which is more like viewing it in Excel.

To turn on the Show Visuals as Tables view mode, tap the new button that has been added to the options menu (…) in the report header. The view mode is applied to all pages in the report. To go back to the regular view, tap Show original visuals in the same menu.

Power BI enhanced report format (PBIR)  

We are very excited to announce the Power BI enhanced report format (PBIR) for Power BI Project files (PBIP). This marks a significant milestone in achieving the primary goal of Power BI Desktop developer mode: provide source control friendly file formats that unblock co-development and enhance development efficiency.

Power BI Projects (PBIP) now support saving the report and semantic model into a folder using source-control friendly formats: PBIR for the report and TMDL for the semantic model.

The PBIR file format greatly simplifies the tracking of changes and resolution of merge conflicts by using properly formatted JSON and organizing each visual, page, bookmark, etc., in separate individual files within a folder structure.

You can also greatly enhance your report development efficiency, either by simply copy & paste visuals/pages/bookmarks/… files between reports or apply manual/programmatic batch changes to the

PBIR files.

Unlike PBIR-Legacy (report.json), PBIR is a publicly documented format and allows modifications from non-Power BI applications. Each file has a public JSON schema, which documents each property and lets code editors like Visual Studio Code perform syntax validation while editing. On open, Power BI Desktop will validate the changed PBIR files to guarantee successful loading.

How to enable it?

PBIR is currently in preview, and you can only create or convert existing Power BI project files to PBIR using Power BI Desktop. You must first enable the feature in Power BI Desktop preview features: go to  File  >  Options and settings  >  Options  >  Preview features  and check the box next to “Store reports using enhanced metadata format (PBIR)”.

During preview, Fabric Git Integration  and Fabric REST Apis will continue to use PBIR-Legacy (report.json) when exporting the report definitions. However, if the report is imported into Fabric using PBIR format, then both features will start exporting the report definition using PBIR format. At General Availability, PBIR will become the default report format.

Limitations

Initially, the PBIR format will have some service restrictions, such as:

• Unable to publish the report in Power BI App.
• Unable to use subscriptions.
• Unable to download PBIX.

These restrictions will be removed in the following months.

Find out more about PBIR and the limitations of Public Preview in our documentation .

Visualizations

Aimplan Status Visual

Water Cup Matrix Planner

vuurmans_custom_polar_area_chart

hi-chart Reporting Studio

Powerviz’s Word Cloud is a visual representation of text, with word size indicating frequency or importance in the given content. It offers a quick overview of key themes and is commonly used in presentations and data analysis to highlight patterns and key terms.

Key Features:

• Word Options: Customize text styles and appearance.
• Direction: Control word orientation with various styles.
• Colors: Choose from 30+ color schemes.
• Shapes: Create unique word clouds with icons and images.
• Ranking: Filter out Top/Bottom N Words.
• Exclude: Easily remove unwanted words, symbols from the text to create a clean and focused word cloud.
• Conditional Formatting: Easily spot words with dynamic rules.
• Lasso/Reverse Lasso: Select and deselect multiple words together.

Business Use Cases:

• Marketing: Analyze feedback, SEO keywords, and sentiment.
• Education: Improve writing skills and engage students with word clouds.
• Market Research: Quickly analyze survey responses and opinions.
• Presentations: Capture attention and summarize information visually.
• Data Analysis : Explore textual data for insights and trends.

🔗 Try Word Cloud Visual for FREE from AppSource

📊 Check out all features of the visual: Demo file

📃 Step-by-step instructions: Documentation

💡 YouTube Video: Video Link

📍 Learn more about visuals: https://powerviz.ai/

✅ Follow Powerviz : https://lnkd.in/gN_9Sa6U

With Drill Down Timeline PRO, you can create slick and intuitive timeline charts with up to 25 series. Users can easily drill down by simply clicking data directly on the chart – for example, the initial view can show aggregated monthly totals, and the user can click on a specific month to quickly access daily values.

When paired with other visuals that support cross-filtering, Timeline PRO can become a part of a dynamic and engaging report that provides quick and all-encompassing insights to the user. For example, when you select a specific time range on Timeline PRO, other visuals will display data that’s relevant only to that time period. Conversely, other visuals or slicers can dynamically filter data on your timeline chart as you explore the report.

Main Features:

• On-chart drill down
• Up to 25 series (columns, lines, and areas)
• ‘Legend’ field support
• Custom date/time hierarchy (from milliseconds to decades)
• DAX measure support
• Customization – defaults or individual series settings
• Up to 4 static or dynamic threshold lines/areas
• Conditional formatting
• Touch support

🌐 Get Drill Down Timeline PRO on AppSource

Product Page | Documentation | Follow ZoomCharts on LinkedIn | Community

Maintaining quality standards is a non-negotiable aspect of every successful operation. Enter the new Attribute Control Chart for Power BI, a robust mechanism for monitoring and controlling categorical data variations.

The Attribute Control Chart offers a comprehensive suite of six attribute charts to cater to diverse analytical needs:

• c chart: Monitors number of defects per sample (sample size is constant).
• u chart: Tracks the number of defects per unit (sample size varies).
• Laney u’ chart: A modified version of the u chart to adjust for overdispersion or under dispersion in your data.
• p chart: Observes the proportion of defective items per sample (sample size varies).
• Laney p’ chart: A modified version of the p chart to adjust for overdispersion or under dispersion in your data.
• np chart: Displays the count of defective items per sample (sample size is constant).

Power BI users can delve deeper into their data, facilitating timely decision-making and continuous improvement. From manufacturing to healthcare, the Attribute Control Chart equips organizations across industries with the insights needed to uphold quality standards and drive operational excellence.

Ready to experience the Attribute Control Chart ? Download it from AppSource today and explore its capabilities with your own data – try for free!

The “Download Button by JTA” is a custom visual designed specifically for Power BI users, empowering them to export large datasets effortlessly.

Enhanced Data Export: Download up to 300,000 rows and 15 columns of data in CSV format

Customizable Interface: Tailor the visual interface to match the reporting style

Constraints:

The custom visual leverages the browser’s cache memory. It works by fetching data in chunks of 30k rows, storing each chunk in the browser’s cache until the entire dataset is compiled for download. This incremental approach requires the use of browser memory to ensure seamless processing. Unfortunately, this means that the visual does not operate as intended in Power BI Desktop due to technical constraints and security restrictions within that environment and you must use the Power BI Service.

For the very same reason, there’s a possibility that it may encounter limitations or restrictions in certain browsers. Each browser has its own set of security measures and permissions that can affect how our visual operates.

If you liked what you saw, you can try it for yourself and find more information here .

Also, if you want to download it, you can find the visual package on the AppSource .

You can watch the video on YouTube using the following link: https://www.youtube.com/watch?v=QDZYmOWGi7g&t=4s

accoPLANNING for Power BI enhances your business capabilities with advanced planning, forecasting, budgeting, project management, and analysis solutions, all while enabling writeback capabilities.

Exciting New Features in This Release:

• Advanced Options and Save State : Customize column and row colors, adjust text formats, and create custom calculated rows and columns.
• Improved Settings Interface : We have completely revamped the formatting areas and relocated some settings to make them more intuitive.
• Writeback Table Scripts : Easily create writeback tables in your database for accoPLANNING visuals with this new feature.
• Dropdown List : Limit input to predefined values from a dropdown list – perfect for data validation.
• New Aggregation Options : We’ve added Median, Product, Min, and Max, among other useful aggregations for ad hoc scenarios.
• Enhanced Copy-Paste Functionality : Improved copy-paste capabilities between Excel and the visual.
• Themes : Quickly create visually appealing reports with new theme options.
• Self-Hosted API : Now available with enhanced data security features, including additional encryption.
• Fabric Ready: the visual now supports writeback directly to Fabric Data Warehouse.

By integrating accoPLANNING with Power BI, you can streamline your planning and reporting processes. For more details,  visit our website .

YouTube:   https://youtu.be/qfdXQHVWjKo

Paginated Reports

You can now open reports that are in folders and subfolders from Power BI Report Builder. These reports may reside in folders and/ subfolders in workspaces that the user has access to.

You can also publish paginated reports to folders/subfolders that you have access to in the Power BI service. Learn more about creating folders in workspaces .

That is all for this month! We hope that you enjoy the update! If you installed Power BI Desktop from the Microsoft Store,  please leave us a review .

As always, keep voting on  Ideas  to help us determine what to build next. We are looking forward to hearing from you!

• DAX query view
• Microsoft Fabric

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Semantic Web

Jul 29, 2014

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Semantic Web. Quratulain Rajput Faculty of Computer Science, IBA Spring2013. Web Ontology Language (OWL). Web Ontology Language (OWL). RDFS is limited in its expression Binary predicate Subclass hierarchy, property hierarchy and Restrictions (domain and range)

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Semantic Web Quratulain Rajput Faculty of Computer Science, IBA Spring2013

Web Ontology Language (OWL) Quratulain Rajput

Web Ontology Language (OWL) • RDFS is limited in its expression • Binary predicate • Subclass hierarchy, property hierarchy and • Restrictions (domain and range) • In order to model more complex knowledge • Require more expressiveness based on formal logics. • Allow logical reasoning. Quratulain

OWL • Since 2004 OWL is W3C recommended standard for modeling of ontologies Quratulain

OWL • In design of OWL, there was a need to find balance between expressivity of the language and scalable reasoning. • Generally, the richer the language is , the more inefficient the reasoning support becomes, often non-computable. • Thus need a compromise, a language supported by reasonably efficient reasoners while sufficiently expressive to express large classes of ontologies. Quratulain

Reasoning with OWL • Class membership • If x is an instance of a class C, and C is a subclass of D, then we can infer that x is an instance of D • Equivalence of classes • If class A is equivalent to class B, and class B is equivalent to class C, then A is equivalent to C, too • Consistency • X instance of classes A and B, but A and B are disjoint • This is an indication of an error in the ontology • Classification • Certain property-value pairs are a sufficient condition for membership in a class A; if an individual x satisfies such conditions, we can conclude that x must be an instance of A A Semantic Web Primer

Uses for Reasoning • Reasoning support is important for • checking the consistency of the ontology and the knowledge • checking for unintended relationships between classes • automatically classifying instances in classes • Reasoning is valuable for • designing large ontologies, where multiple authors are involved • integrating and sharing ontologies from various sources A Semantic Web Primer

Reasoning Support for OWL • OWL is (partially) mapped on a description logic, and makes use of reasonersuch as FaCT, HermiTand RACER etc. • Description logics are a subset of predicate logic for which efficient reasoning support is possible. A Semantic Web Primer

Limited Expressive Power of RDFS • Local scope of properties • rdfs:range defines the range of a property (e.g. eats) for all classes • In RDF Schema we cannot declare range restrictions that apply to some classes only • E.g. we cannot say that cows eat only plants, while other animals may eat meat, too Vegetable eats Animal Food meat A Semantic Web Primer

Limited Expressive Power of RDFS • Disjointness of classes • Sometimes we wish to say that classes are disjoint (e.g. male and female) Male Person Female A Semantic Web Primer

Limited Expressive Power of RDFS • Boolean class Constructs Owl includes: • Negation • Disjunction • Conjunction • Sometimes we wish to build new classes by combining other classes using union, intersection, and complement • E.g. person is the disjoint union of the classes male and female Quratulain Rajput

Limited Expressive Power of RDFS • Cardinality restrictions • E.g. a person has exactly two parents, a course is taught by at least one lecturer • Special characteristics of properties • Transitive property (like “greater than”) • Unique property (like “is mother of”) • A property is the inverse of another property (like “eats” and “is eaten by”) A Semantic Web Primer

Limited Expressive Power of RDFS • The limitation RFDS has been overcome by introducing Web Ontology Language (OWL) Quratulain Rajput

Class Element • Classes defined using owl:class • owl:Class is a subclass of rdfs:Class <owl:Classrdf:about=”Professor”/> Quratulain

Owl:disjointWith <owl:Classrdf:about="#associateProfessor"> <owl:disjointWithrdf:resource="#professor"/> <owl:disjointWithrdf:resource="#assistantProfessor"/> </owl:Class> Quratulain

Owl:equivalenceClass <owl:Classrdf:ID="faculty"> <owl:equivalentClassrdf:resource="#academicStaffMember"/> </owl:Class> <owl:Classrdf:ID="TexasThings"> <owl:equivalentClass> <owl:Restriction> <owl:onPropertyrdf:resource="#locatedIn" /> <owl:someValuesFromrdf:resource="#TexasRegion" /> </owl:Restriction> </owl:equivalentClass> </owl:Class> • Equivalence vssubclassOf : • When A is subclass of B , then A necessarily inherit all characteristics of B , not vice versa Quratulain

Predefined Classes • owl:Thing • owl:Nothing Quratulain

Property Element • RDFS only has rdfs:Property • In owl two kinds of properties: • ObjectProperty • E.g. is-TaughtBy, supervises • DataTypeProperty • E.g. phone, title, age, etc. • More than domain and range can be declare. Quratulain

Properties <owl:ObjectPropertyrdf:ID="isTaughtBy"> <owl:domainrdf:resource="#course"/> <owl:rangerdf:resource= "#academicStaffMember"/> <rdfs:subPropertyOfrdf:resource="#involves"/> </owl:ObjectProperty> <owl:DatatypePropertyrdf:ID="age"> <owl:domainrdf:resource=“#People"/> <rdfs:rangerdf:resource= "http://www.w3.org/2001/XLMSchema #nonNegativeInteger"/> </owl:DatatypeProperty> Quratulain

Inverse Property <owl:ObjectPropertyrdf:ID="teaches"> <rdfs:rangerdf:resource="#course"/> <rdfs:domainrdf:resource= "#academicStaffMember"/> <owl:inverseOfrdf:resource="#isTaughtBy"/> </owl:ObjectProperty> Quratulain

Equivalent Properties owl:equivalentProperty: <owl:ObjectPropertyrdf:ID="lecturesIn"> <owl:equivalentPropertyrdf:resource="#teachesIn"/> </owl:ObjectProperty> A Semantic Web Primer

SubclassOf • As in RDF(S), subclass relationships can be expressed in OWL with the same rdfs:subClassOf property <owl:Classrdf:about=”Professor”> <rdfs:subClassOfrdf:resource=”FacultyMember” /> </owl:Class> Quratulain

Reasoning (Owl:Class) • Classes are also transitive in OWL which lets us draw simple inferences <owl:Classrdf:about=”Professor”> <rdfs:subClassOfrdf:resource=”FacultyMember” /> </owl:Class> <owl:Classrdf:about=”FacultyMember”> <rdfs:subClassOfrdf:resource=”person” /> </owl:Class> • Allow us to infer that Professor is a subclass of Person Quratulain

Reasoning (owl:disjointWith) • If two classes are declared as disjoint using owl:disjointWith property • This means that they do not share any individual (intersection between classes is empty) Quratulain

Reasoning (owl:disjointWith) • Following inference can be done with disjointness property <owl:Classrdf:about=”Professor”> <rdfs:subClassOfrdf:resource=”FacultyMember” /> </owl:Class> <owl:Classrdf:about=”Book”> <rdfs:subClassOfrdf:resource=”Publication” /> </owl:Class> <owl:Classrdf:about=”FacultyMember”> <owl:disjointWithrdf:resource=”Publication” /> </owl:Class> • Allow us to infer that Professor and Book are also disjoint Quratulain

Reasoning (owl:equivalentClass) <owl:Classrdf:about=”Man”> <rdfs:subClassOfrdf:resource=”Person”/> </owl:Class> <owl:Classrdf:about=”person”> <owl:equivalentClassrdf:resource=”Human”/> </owl:Class> • Allows us to infer that man is a subclass of Human Quratulain

Property Restriction • A property restriction is a special kind of class description. It describes an anonymous class, namely a class of all individuals that satisfy the restriction. • OWL distinguishes two kinds of property restrictions: • value constraints and • cardinality constraints. Quratulain

Property Restriction • A value constraint puts constraints on the range of the property • owl:allValuesFrom • owl:someValuesFrom • owl:hasValue • A cardinality constraint puts constraints on the number of values a property can take • owl:maxCardinality • owl:minCardinality Quratulain

Value Constraints <owl:Classrdf:about="#firstYearCourse"> <rdfs:subClassOf> <owl:Restriction> <owl:onPropertyrdf:resource="#isTaughtBy"/> <owl:allValuesFromrdf:resource= #Professor"/> </owl:Restriction> </rdfs:subClassOf> </owl:Class> Quratulain

Cardinality Constraints <owl:Restriction> <owl:onPropertyrdf:resource="#hasParent" /> <owl:minCardinalityrdf:datatype= "&xsd;nonNegativeInteger">2 </owl:minCardinality> </owl:Restriction> Quratulain

Boolean Combination • Union, intersection and compliment of classes. • owl:intersectionOf • owl:unionOf • owl:complementOf Quratulain

Owl:ComplementOf <owl:Class> <owl:complementOf> <owl:Classrdf:about="#Meat"/> </owl:complementOf> </owl:Class> Quratulain Rajput

Owl:unionOf <owl:Classrdf:ID="peopleAtUni"> <owl:unionOfrdf:parseType="Collection"> <owl:Classrdf:about="#staffMember"/> <owl:Classrdf:about="#student"/> </owl:unionOf> </owl:Class> Quratulain

Owl:intersectionOf <owl:Classrdf:ID="facultyInCS"> <owl:intersectionOfrdf:parseType="Collection"> <owl:Classrdf:about="#faculty"/> <owl:Restriction> <owl:onPropertyrdf:resource="#belongsTo"/> <owl:hasValuerdf:resource= "#CSDepartment"/> </owl:Restriction> </owl:intersectionOf> </owl:Class> Quratulain

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