PDF | On Jan 1, , Jorge Cardoso and others published Programming The Semantic Web. the Web. ▻ This is where Semantic Web technologies come in main Semantic Web concepts .. Hopefully you get a full picture at the end of the tutorial. In addition, Semantic Web Programming covers: • Semantic Web architectures, tools, and best practices • Ways in which knowledge representation and.
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The next major advance in the Web Web will be built on semantic Web technologies, which will allow data to be shared and reused across application. Foundations of Semantic Web technologies / Pascal Hitzler, Sebastian Rudolph,. Markus .. or to include a digression to rule languages and logic programming. information in PDF files, or as annotations in the XML-based vector graphics. the technologies and standards that define the Semantic Web, followed by a section that presents the .. Building a scraper requires extensive programming and it is a very unstable system, since published in a pdf file. This information can.
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Start Free Trial No credit card required. Semantic Web Programming 4 reviews. View table of contents. Start reading. Book Description The next major advance in the Web Web 3. Introducing Semantic Web Programming 1. Preparing to Program a Semantic Web of Data 1. Defining the Semantic Web 1.
Identifying the Major Programming Components 1. Determining Impacts on Programming 1. Establishing a Web Data—Centric Perspective 1. Expressing Semantic Data 1. Sharing Data 1. Making Data Dynamic and Flexible 1. Avoiding the Roadblocks, Myths, and Hype 1. Semantic Web Roadblocks 1. Semantic Web Myths 1. Semantic Web Hype 1. Understanding Semantic Web Origins 1. Exploring Semantic Web Examples 1.
Semantic Wikis semantic-mediawiki. Twine www. RDFa and Microformats 1. Semantic Query Endpoint dbpedia. Semantic Search www.
Summary and Onward 1. Notes 2. Hello Semantic Web World 2. Summary II. Foundations of Semantic Web Programming 3.
Modeling Information 3. Modeling Information in Software 3. Sharing Information: Syntax and Semantics 3. Serialized Objects 3. Relational Databases 3.
Metadata and Data in Information Sharing 3. The Semantic Web Information Model: Resources and Literals 3. Predicates 3. Exchanging Information with RDF 3. Statements as Points 3. RDF Serializations 3. Comments 3. Statements 3. Resources 3. Literals 3. Shorthand and Special Features 3. N-Triples 3.
Quick Hack 3. More RDF 3.
Handbook of Semantic Web Technologies
Blank Nodes 3. Reification 3. RDF Organizational Constructs 3. RDF Containers 3. RDF Lists 3. Summary 4. Incorporating Semantics 4.
Semantics on the Web 4. Motivating Factors 4. Understanding the World Wide Web 4. Knowledge Domain Integration 4. Expressing Semantics in RDF 4.
Vocabularies, Taxonomies, and Ontologies 4. An Ontology Language for the Web 4. Introduction to Ontologies 4. Distributed Knowledge 4.
Open World Assumption 4. No Unique Names Assumption 4. Overview of Ontology Elements 4. Ontology Header 4. Classes and Individuals 4. Properties 4.
Annotations 4. Datatypes 4. Elements of an Ontology 4.
OWL 2 Typing 4. Basic Classification 4. SubClassOf 4. Instance versus Subclass 4. Thing and owl: Nothing 4. Defining and Using Properties 4. Property Domain and Range 4.
Semweb Hucksters and Their Metacrap
Describing Properties 4. Top and Bottom Properties 4. Inverse Properties 4. Disjoint Properties 4. Property Chains 4. Symmetric, Reflexive, and Transitive Properties 4. Functional and Inverse Functional Properties 4.
Keys 4. Datatype Restrictions 4. Defining Datatypes in Terms of Other Datatypes 4. Negative Property Assertions 4. Property Restrictions 4. Value Restrictions 4. Cardinality Restrictions 4. Qualified Cardinality Restrictions 4. Advanced Class Description 4. Enumerating Class Membership 4.
Set Operators 4. Disjoint Classes 4. Equivalence in OWL 4.
Equivalence among Individuals 4. Equivalence among Classes and Properties 4. Summary 5. Modeling Knowledge in the Real World 5. Exploring the Components of the Semantic Web 5. Semantic Web Frameworks 5. Storing and Retrieving RDF 5. RDF Store Implementations 5. Retrieving Information in a Knowledgebase 5. Realizing the Semantics of OWL 5. Understanding Forward Chaining Inference 5.
Understanding Backward Chaining Inference 5. Choosing the Right Inference Method 5. Common Frameworks and Components 5. Retrieval Components 5. Reasoning Engines 5. Knowledgebase Performance 5. Exploring the Profiles of OWL 5.
The Profiles of OWL 5. We are all familiar with metadata in the context of a file system: When we look at a file on our computers, we can see when it was created, when it was last updated, and whom it was originally created by. Likewise, webpages on the Semantic Web would be able to tell your browser who authored the page and perhaps even where that person went to school, or where that person is currently employed.
In theory, this information would allow Semantic Web browsers to answer queries across a large collection of webpages. In their article for Scientific American, Berners-Lee and his co-authors explain that you could, for example, use the Semantic Web to look up a person you met at a conference whose name you only partially remember. Cory Doctorow, a blogger and digital rights activist, published an influential essay in that pointed out the many problems with depending on voluntarily supplied metadata.
Even if users were universally diligent and well-intentioned, in order for the metadata to be robust and reliable, users would all have to agree on a single representation for each important concept. Doctorow argued that in some cases a single representation might not be appropriate, desirable, or fair to all users. Munat concludes that a general-purpose Semantic Web is unworkable, and that the focus should be on specific domains within medicine and science.
Others have also seen the Semantic Web project as tragically flawed, though they have located the flaw elsewhere. In forums like the World Wide Web Consortium W3C , a huge amount of effort and discussion went into creating standards before there were any applications out there to standardize.
But that never happened because—as has been discussed on this blog before—the putative benefits of something like XML are not easy to sell to a programmer when the alternatives are both entirely sufficient and much easier to understand.
Building the Semantic Web If the Semantic Web was not an outright impossibility, it was always going to require the contributions of lots of clever people working in concert. The long effort to build the Semantic Web has been said to consist of four phases.
Between and , the W3C issued a slew of new standards laying out the foundational technologies of the Semantic future. RDF was originally conceived of as a tool for modeling metadata and was partly based on earlier attempts by Ramanathan Guha, an Apple engineer, to develop a metadata system for files stored on Apple computers.
RDF would be the grammar in which Semantic webpages expressed information.
The grammar is a simple one: Facts about the world are expressed in RDF as triplets of subject, predicate, and object. This example is in a format called Turtle, which expresses RDF triplets as straightforward sentences terminated by periods. Other specifications finalized and drafted during this first era of Semantic Web development describe all the ways in which RDF can be used. RDF Schema and OWL, in other words, are tools for creating what are known as ontologies, explicit specifications of what can and cannot be said within a specific domain.
An ontology might include a rule, for example, expressing that no person can be the mother of another person without also being a parent of that person. The hope was that these ontologies would be widely used not only to check the accuracy of RDF found in the wild but also to make inferences about omitted information.
In , Tim Berners-Lee posted a short article in which he argued that the existing work on Semantic Web standards needed to be supplemented by a concerted effort to make semantic data available on the web. Perhaps the most successful of these datasets was DBpedia , a giant repository of RDF triplets extracted from Wikipedia articles.
Today DBpedia describes 4. By , JSON had begun its meteoric rise to popularity. It was less verbose and more readable. Basic Classification. Instance versus Subclass. Defining and Using Properties. Property Domain and Range. Describing Properties.
Top and Bottom Properties. Inverse Properties. Disjoint Properties.
Property Chains. Symmetric, Reflexive, and Transitive Properties. Functional and Inverse Functional Properties. Data type Restrictions. Defining Datatypes in Terms of Other Datatypes. Negative Property Assertions. Property Restrictions. Value Restrictions.
Cardinality Restrictions. Qualified Cardinality Restrictions.
Semantic Programming Framework for developing ontology-controlled Applications
Advanced Class Description. Enumerating Class Membership. Set Operators. Disjoint Classes. Equivalence in OWL. Equivalence among Individuals. Equivalence among Classes and Properties. Chapter 5 Modeling Knowledge in the Real World. Exploring the Components of the SemanticWeb.
Semantic Web Frameworks. Storing and Retrieving RDF.
RDF Store Implementations. Retrieving Information in a Knowledgebase. Realizing the Semantics of OWL. Understanding Forward Chaining Inference. Understanding Backward Chaining Inference. Choosing the Right Inference Method. Common Frameworks and Components. Retrieval Components. Reasoning Engines. Knowledgebase Performance. Exploring the Profiles of OWL. The Profiles of OWL. OWL EL. OWL QL. OWL RL. Demonstrating OWL Inference.
The Ontology. The Example Application. The Results. Performing No Inference. Performing OWL Inference. Working with Ontologies. Decoupling the Knowledge Model from the Application. Sharing across Domain and Application Boundaries. What Is a Foundational Ontology?
Common Foundational Ontologies. Cyc and OpenCyc. Dublin Core Metadata Initiative. Finding Ontologies to Reuse or Extend. Choosing the Right Foundational Ontologies. Chapter 6 Discovering Information. Navigating the SemanticWeb.
Searching the Semantic Web. Querying the Semantic Web. Four Foundational Query Forms. Query Modifiers. ASK Essentials. Unsupported Functionality. Data Modification. Chapter 7 Adding Rules. What Are Rules? Reasons for Rules. No Support for Property Composition. Use of Built-ins. Ontological Mediation. Limiting Assumptions. Rule Languages. SWRL Essentials. The Abstract Syntax. DL-Safe Rules.
Mapping Friends without Upsetting Any of Them. The Power of Rules. Jena Rules. Rule Interchange Format. Delving into the Details. The Future of RIF. Chapter 8 Applying a Programming Framework. Framing the Semantic Web.
The Jena SemanticWeb Framework.Semantic Query Endpoint dbpedia. Appendix F Installation Reference Guide. Keywords D. Maintaining Fidelity 9. Representing Information. These are close to the ontology structure of languages in the OWL family. Semantic Markup forWeb Services.
Keywords E. No Support for Property Composition 7.
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