Rdf And Rdf Schema For Ontology Specification
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The document discusses RDF (Resource Description Framework) and RDF Schema for ontology specification on the Semantic Web. It provides an introduction to RDF and how it uses URIs to identify resources and assertions. It then discusses RDF applications for mobile terminals, RDF graph models, RDF/XML syntax, RDF vocabularies and schemas, and the RDF Schema language. It concludes with an overview of how OWL (Web Ontology Language) and OWL-S (Web Service Ontology) build upon RDF Schema to facilitate ontology specification and automation of web services.
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The document discusses Resource Description and Access (RDA), a new cataloging standard that aims to improve findability, identification, and interoperability of library resources. RDA is based on FRBR (Functional Requirements for Bibliographic Records) and FRAD (Functional Requirements for Authority Data) models. It defines cataloging entities and relationships using Semantic Web technologies like URIs, RDF, and SKOS to make metadata more reusable and linkable on the global scale. The document outlines how RDA entities, elements, and vocabularies are being registered in the NSDL Metadata Registry to enable their representation and sharing using Semantic Web formats.
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This document compares three APIs for processing RDF in the .NET Framework: SemWeb, LinqToRdf, and Rowlex. SemWeb provides low-level RDF interaction and the others build on it. LinqToRdf allows LINQ querying of RDF graphs while Rowlex maps RDF triples to object-oriented classes. All three APIs lack documentation and support as they were last updated in 2008-2009. SemWeb has the best performance while LinqToRdf has the lowest due to additional processing of LINQ queries to SPARQL.
A Hands On Overview Of The Semantic Web
The document provides an overview of the Semantic Web and introduces key concepts such as RDF, RDFS, SPARQL, OWL, and Linked Open Data. It begins with defining what the Semantic Web is, why it is useful, and how it differs from the traditional web by linking data rather than documents. It then covers RDF for representing data, RDFS for defining schemas, and SPARQL for querying RDF data. The document also discusses OWL for building ontologies and Linked Open Data initiatives that have published billions of RDF triples on the web.
SemanticWeb Nuts 'n Bolts
The document discusses the Semantic Web, providing an overview of identification languages, integration, storage and querying, browsing and viewing technologies. It describes languages like RDF, RDF Schema and OWL, and how they add machine-understandable semantics and shared ontologies to the web. It also discusses tools for querying, visualizing and presenting Semantic Web data like SPARQL, RDF browsers, Fresnel lenses, and Yahoo Pipes for aggregating and filtering RDF feeds.
Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2
Hacia la Internet del Futuro: Web Semántica y Open Linked Data, Parte 2Diego López-de-Ipiña González-de-Artaza
This document provides an agenda and overview of semantic web and linked open data. It discusses the limitations of the current internet and the goals of the semantic web, which aims to make web content machine-readable through annotation and ontologies. It introduces key semantic web technologies like RDF, RDF schema, and OWL, and explains how they allow data to be interlinked and queried. Open linked data seeks to further evolve the web by linking data on the web through common vocabularies and enabling new types of browsers and search engines to utilize this semantic information.Technical Background
This chapter introduces the semantic modeling procedure, detailing its technical characteristics, possibilities and limitations. First, we present the languages that are used for semantic description. We present RDF, RDFS and OWL, describe their expressiveness in terms of describing Web Resources, and the abilities they provide in order to describe, query, administer and manage resources at a semantic layer. Next, we present the vocabularies that are used in order to provide common grounds in understanding and communicating ideas and concepts. The technologies, together with the vocabularies used, altogether comprise the modern landscape of Semantic Web/Linked Data applications and serve as the basis for maintaining, analyzing datasets and building applications on top of them.
RDF and Java
This document summarizes three popular Java frameworks for working with RDF and SPARQL: Jena, Sesame, and JRDF. It describes how each framework represents RDF data using a graph model with subjects, predicates, and objects. It also discusses how each framework supports querying RDF data using SPARQL or alternative query languages, and persisting RDF graphs to databases.
Automating the Use of Web APIs through Lightweight Semantics
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Comparative study on the processing of RDF in PHP
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A hands on overview of the semantic web
This document provides an overview of the Semantic Web. It defines the Semantic Web as linking data to data using technologies like RDF, RDFS, OWL and SPARQL. It explains that RDF represents information as subject-predicate-object statements that can be queried using SPARQL. RDFS allows defining schemas and classes for RDF data, while OWL adds more expressiveness for defining complex ontologies. The document outlines popular Semantic Web tools, public ontologies, and companies working in this domain. It positions the Semantic Web as a way to represent and share data universally on the web.
Semantic web
The document provides an overview of the semantic web including:
1. It describes the key technologies that power the semantic web such as RDF, RDFS, OWL, and SPARQL which allow data to be shared and reused across applications.
2. It discusses semantic web themes like linked data, vocabularies, and inference which enable data from multiple sources to be integrated and new insights to be discovered.
3. It outlines current and future applications of the semantic web such as in e-commerce, online advertising, and government where semantic technologies can enhance search, personalization and data sharing.
RDF and the Semantic Web -- Joanna Pszenicyn
RDF and the Semantic Web are building blocks for representing data on the World Wide Web in a structured and linked manner. RDF uses triples of subject-predicate-object to describe resources, allowing data to be interlinked and combined across different schemas. This facilitates interoperability between web applications and enables machines to more easily process information at a global scale. While RDF syntax can be clunky, it provides a flexible and extensible framework for exchanging machine-readable metadata. The development of a global network of interlinked data accessed by intelligent programs remains a goal of the Semantic Web.
KIT Graduiertenkolloquium 11.05.2016
The formulation of constraints and the validation of RDF data against these constraints is a common requirement and a much sought-after feature, particularly as this is taken for granted in the XML world. Recently, RDF validation as a research field gained speed due to shared needs of data practitioners from a variety of domains. For constraint formulation and RDF data validation, several languages exist or are currently developed. Yet, none of the languages is able to meet all requirements raised by data professionals.
We have published a set of constraint types that are required by diverse stakeholders for data applications. We use these constraint types to gain a better understanding of the expressiveness of solutions, investigate the role that reasoning plays in practical data validation, and give directions for the further development of constraint languages.
We introduce a validation framework that enables to consistently execute RDF-based constraint languages on RDF data and to formulate constraints of any type in a way that mappings from high-level constraint languages to an intermediate generic representation can be created straight-forwardly. The framework reduces the representation of constraints to the absolute minimum, is based on formal logics, and consists of a very simple conceptual model with a small lightweight vocabulary. We demonstrate that using another layer on top of SPARQL ensures consistency regarding validation results and enables constraint transformations for each constraint type across RDF-based constraint languages.
Hack U Barcelona 2011
This document discusses the Semantic Web and Linked Data. It provides an overview of key Semantic Web technologies like RDF, URIs, and SPARQL. It also describes several popular Linked Data datasets including DBpedia, Freebase, Geonames, and government open data. Finally, it discusses the Yahoo BOSS search API and WebScope data for building search applications.
Semantics
This document discusses semantic technologies and digital data processing. It provides an overview of semantics and the semantic web, including XML, RDF, OWL, SPARQL, ontologies, and data models. It also discusses capturing semantics in XML documents, OWL, RDF schema, semantic web applications like cartographic searching, SKOS for knowledge organization systems, and the SKOS Play visualization tool.
LarKC Tutorial at ISWC 2009 - Data Model
The aim of the EU FP 7 Large-Scale Integrating Project LarKC is to develop the Large Knowledge Collider (LarKC, for short, pronounced “lark”), a platform for massive distributed incomplete reasoning that will remove the scalability barriers of currently existing reasoning systems for the Semantic Web. The LarKC platform is available at larkc.sourceforge.net. This talk, is part of a tutorial for early users of the LarKC platform, and describes the data model used within LarKC.
Rdf
This document provides an overview of describing web resources using the Resource Description Framework (RDF). It discusses the basic concepts of RDF including resources, properties, statements, and the XML syntax used to represent them. It also covers RDF Schema which adds vocabulary for describing properties and classes of RDF resources, and provides a critical view of some aspects of RDF such as its use of binary predicates and treatment of properties.
RDF briefing
The document discusses the W3C stack for representing metadata, with XML providing syntax but no semantics, RDF and RDF Schema defining a data model for relations between resources and a vocabulary definition language, and OWL adding more expressivity with concepts such as classes, properties, and cardinality restrictions. It also covers RDF syntaxes like Turtle and XML, and how RDF can represent implied claims from XML and facilitate interoperability between systems through its abstract model.
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