Introduction to Semantic Web
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Introduction - Introduction to ontologies and semantic web - tutorial
This site introduces ontologies and semantic web, with the emphasis on how ontologies are defined and used for semantic web applications today (more about this site background is here ). This tutorial is extracted from the introductory chapter of the dissertation that deals with the applications of ontologies in multi-agent systems - Marek Obitko (advisor Vladimir Marik): Translations between Ontologies in Multi-Agent Systems, Ph.D. dissertation, Faculty of Electrical Engineering, Czech Technical University in Prague, 2007 . Enough for introduction, you can choose the Next buttons to continue reading or select any topic of interest from the menu on the left. Warning: If you have older browser, you may not see some of the symbols (for example in the description logics section) properly - in this case either update your web browser or get the pdf version of this text.
Domain models play a central role throughout the software development cycle, from requirements analysis to design, through implementation and beyond. As such, great progress has been made in the consistent use of models throughout this process. Modern software development tools with support for the UML and code generation as well as Model-Driven Architectures allow for developers to synchronize and verify technical implementation with user requirements using models. However, the reusability of domain models is often limited because they are, by definition, domain specific and only take into consideration abstractions needed to make possible a solution within the confines of their own individual problem space.
A Semantic Web Primer for Object-Oriented Software Developers
Tabulator: Generic data browser
The Tabulator project is a generic data browser and editor. Using outline and table modes, it provides a way to browse RDF data on the web. RDF is the standard for inter-application data exchange. The tabulator extension is a Firefox extension which allows Firefox to handle data as well as documents. Install it from the tabulator extension page
In an attempt to reaching out to the Web developers (called 'Hacker Joe', here ;) I've compiled a screen-cast on how one can understand the Web as a huge database . The screen-cast starts out with a bit of explanation of some essentials, however, the bigger part of it is dedicated to two hands-on examples: first we query and use data from DBPedia (the linked data version of Wikipedia) and then we look into a heavily distributed linked data form, that is, using a FOAF profile we again query and use data from there. Note that the accompanying slides are available as well via slideshare . In case you want to test the queries used in the screen-cast along with the endpoints, here you are ...
The Web, one huge database ... | Linked Data Research Centre
The Semantic Web isn't just about putting data on the web. It is about making links, so that a person or machine can explore the web of data. With linked data, when you have some of it, you can find other, related, data. Like the web of hypertext, the web of data is constructed with documents on the web. However, unlike the web of hypertext, where links are relationships anchors in hypertext documents written in HTML , for data they links between arbitrary things described by RDF ,. The URI s identify any kind of object or concept.
Linked Data - Design Issues
This book gives an overview of the principles of Linked Data as well as the Web of Data that has emerged through the application of these principles. The book discusses patterns for publishing Linked Data, describes deployed Linked Data applications and examines their architecture. The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data.
Linked Data: Evolving the Web into a Global Data Space
The objective of this SPARQL tutorial is to give a fast course in SPARQL. The tutorial covers the major features of the query language through examples but does not aim to be complete. As a query language, SPARQL is "data-oriented" in that it only queries the information held in the models; there is no inference in the query language itself. Of course, the Jena model may be 'smart' in that it provides the impression that certain triples exist by creating them on-demand, including OWL reasoning. SPARQL does not do anything other than take the description of what the application wants, in the form of a query, and returns that information, in the form of a set of bindings or an RDF graph.
ARQ - SPARQL Tutorial
Knoodl is a Distributed Information Management System (DIMS)™, the first of its kind. It revolutionizes the way that large enterprises manage distributed data for analytic purposes. Combining semantic technologies with traditional information management technology, Knoodl leverages your existing web infrastructure for the purpose of managing all corporate data to deliver dramatic new analytic capabilities.
Knoodl
Datasets for http://www.datadotgc.ca/. DataDotGC, which launched, in February 2010, is a Canadian, citizen-led effort to promote open data and help share data that has already been...
Welcome - the Data Hub
The Semantic Web is based on the relatively straightforward idea that to be able to integrate (link) data on the Web we must have some mechanism for knowing what relationships hold among the data, and how that relates to some "real world" context. The following is a lot of detail that comes from this simple idea. To answer this question properly, let me start back in the early Web era.
What is the Semantic Web really all about? - Web Science - the World of the World Wide Web Blog | Nature Publishing Group
The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents. This primer provides an approachable introduction to OWL 2, including orientation for those coming from other disciplines, a running example showing how OWL 2 can be used to represent first simple information and then more complex information, how OWL 2 manages ontologies, and finally the distinctions between the various sublanguages of OWL 2. May Be Superseded