Learn the conceptual framework and principles required to apply
semantic technologies to various domains
Semsphere is offering a three-module, distance-learning course called, "Intro to Semantic Technologies, Linked Data, and Ontologies," and SemanticWeb.com is pleased to announce that our readers get a 10% discount on course fees. The course will take place over four weeks and is designed for researchers, evangelists, and hobbyists who want to use semantic technologies.
It features live, weekly webcasts, guided tutorials, course materials, interaction with the instructor, and access to recorded instructional sessions. The modules cover three core topics: semantic technologies, linked data, and ontologies.
WHEN: 4 weeks (October 17 - November 7)
WHO: Researchers, evangelists, and hobbyists who want to use semantic technologies
(SemanticWeb readers receive a 10% discount off the regular price of $1,420.)
Module 1: Semantic Technologies
The course will first introduce the technologies associated with the semantic web, differentiating these from the web and XML-based application development. Participants will be given an overview of their strengths and advantages. Lectures and exercises define the conceptual framework and principles required to successfully apply semantic technologies to various domains. This includes a critical and up-to-date overview of the established, maturing, and newly developed standards and technologies related to W3C Semantic Web Layer Cake. This section covers the most lightweight and easily applied technologies, such as RDF(S) and SPARQL. There will also be extensive training on RDF, RDF schema-based inference, and SPARQL querying using Sesame's Workbench Web UI.
- Genesis and aims of the semantic web
- Examples of semantic applications
- Core concepts related to the semantic web
- Hands-on training of Sesame’s Workbench Web UI
Module 2: Linked Data
The linked data principles and associated best practices have significantly increased both the amount and the use of data in semantic form in recent years. Here, the principles are introduced and exemplified using significant data sets. This section includes an introduction to advanced technologies, such as OWL and SKOS, with an emphasis on their lightweight use in Linked Data. It also covers the VoiD vocabulary and foundational and developing work in the exposure of legacy sources, such as relational databases as Linked Data. It includes hands-on training with DBpedia.
- Web technologies (HTTP, content negotiation)
- Linked data principles
- Best practices for publishing and interlinking (use of RDF, SPARQL, RDFS/OWL/SKOS, and VoiD)
- Data consumption (including browsing, navigation, visualization)
- Linked Open Data Cloud and selected examples
- Hands-on learning of DBpedia
Module 3: Ontologies
Starting with a brief review of the origins and etymology of ontologies, participants will learn the ontology lifecycle and development processes. You will build an understanding of the terminology used by ontology engineers, explore the particulars of ontology modeling and learning, and be introduced to the most effective tools for creating ontologies. This section concludes with the presentation of several commonly used applications, including Protégé and domain ontologies.
- Ontologies: History, types, properties, and applications
- Ontology development from scratch
- Ontology modeling principles
- Examples of popular ontologies
- Ontology population
- Ontology development environments
- Hands-on training with Protégé