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After years of research and development, standards and technologies for semantic data are sufficiently mature to be used as the foundation of novel data science projects that employ semantic technologies in various application domains such as bio-informatics, materials science, criminal intelligence, and social science. Typically, such projects are carried out by domain experts who have a conceptual understanding of semantic technologies but lack the expertise to choose and to employ existing data management solutions for the semantic data in their project. For such experts, including domain-focused data scientists, project coordinators, and project engineers, our tutorial delivers a practitioner's guide to semantic data management. We discuss the following important aspects of semantic data management and demonstrate how to address these aspects in practice by using mature, production-ready tools:

• i) storing and querying semantic data;
• ii) understanding,
• iii) searching, and
• iv) visualizing the data;
• v) automated reasoning;
• vi) integrating external data and knowledge; and
• vii) cleaning the data.

En esta presentación el profesor Jose Emilio Labra Gayo expone de modo divulgativo los principales aspectos relacionados con la Web Semántica atendiendo a los siguientes apartados:

• ¿Qué es la Web Semántica? Mapa de Tecnologías
• Fundamentos Web
• Descripción de recursos
• Consultando la web de datos
• Inferencias y ontologías
• Casos prácticos

Este video explica qué es la web semántica y porqué ayuda en la construcción de sitios web más endendibles y accesibles.

Se trata de una clase impartida Zuriñe Menendez. Es una de las novedades importantes del HTML5 que aporta sentido al código HTML creando sitios más útiles y profesionales.

Presentaciones recientes sobre web semántica, archivos y gestión de documentos

Este post trata de explicar cómo realizar una pequeña aplicación para probar el poder que está adquiriendo la web semántica.

La web semántica está creciendo cada día más, como muchos ya sabréis internet ha estado creciendo de una manera desordenada y desestructurada, lo cual ha producido una sobrecarga de información y ésta está muy desestructurada.

Para implementar la aplicación se ha utilizado la API JavaScript de Google Maps y consultas AJAX a DBPedia.

Importante base documental sobre Web Semántica con informes y casos de uso.

This document is a glossary of terms defined and used to describe Linked Data, and its associated vocabularies and Best Practices. This document published by the W3C Government Linked Data Working Group as a Working Group Note, is intended to help information management professionals, Web developers, scientists and the general public better understand publishing structured data using Linked Data Principles.

What is Open Data?

“Open data is data that can be freely used, reused and redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike.” OpenDefinition.org

The Open Definition sets out in detail the requirements for ‘openness’ in relation to content and data. The key features are:

Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.

Reuse and Redistribution: the data must be provided under terms that permit reuse and redistribution including the intermixing with other datasets.

Universal Participation: everyone must be able to use, reuse and redistribute – there should be no discrimination against fields of endeavour or against persons or groups. For example, ‘non-commercial’ restrictions that would prevent ‘commercial’ use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.

Availability and Access: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.

Reuse and Redistribution: the data must be provided%

Escuela de verano en ingeniería ontológica que tendrá lugar entre el 7 y el 13 de Julio de 2013 en Cercedilla, cerca de Madrid.

Entre los topicos incluye:

• Linked Data / Web of Data
• Ontology Engineering
• Ontology Design
• Knowledge Representation
• Semantic Web Applications
• Ontology Matching and Alignment
• Semantic and Language Technologies
• Knowledge Management
• Semantic Search
• Recommender Systems
• Web Intelligence
• Trust and Provenance
• Social Semantic Web and Sensor Web
• Semantic Web and Multimedia

Por web semántica se entiende una forma de organizar el contenido en la Web que mejore la cooperación entre computadoras y humanos. Esto pasa por avanzar de una web de documentos a una web de datos enlazados en la que se puedan ofrecer novedosos servicios que hagan uso del potencial de combinar e interrelacionar datos de diversa índole y procedencia.