Protege Wiki Differentiated Instruction with UDL By Tracey Hall, Nicole Strangman, and Anne Meyer Note: Updated on 11/2/09; 1/14/11; Please visit the AIM Center home page. Introduction Not all students are alike. Based on this knowledge, differentiated instruction applies an approach to teaching and learning that gives students multiple options for taking in information and making sense of ideas. This report on differentiated instruction and UDL begins with an introduction to differentiated instruction in which we provide the definition, a sampling of considerations and curriculum applications, and research evidence for effectiveness. The literature review in this paper is also available as a stand alone document, with annotated references. Top Definition To differentiate instruction is to recognize students' varying background knowledge, readiness, language, preferences in learning and interests; and to react responsively. Figure 1. Identifying Components/Features Content Process Flexible grouping is consistently used. Products Figure 2.
RDF - Semantic Web Standards Overview RDF is a standard model for data interchange on the Web. RDF has features that facilitate data merging even if the underlying schemas differ, and it specifically supports the evolution of schemas over time without requiring all the data consumers to be changed. RDF extends the linking structure of the Web to use URIs to name the relationship between things as well as the two ends of the link (this is usually referred to as a “triple”). Using this simple model, it allows structured and semi-structured data to be mixed, exposed, and shared across different applications. This linking structure forms a directed, labeled graph, where the edges represent the named link between two resources, represented by the graph nodes. Recommended Reading The RDF 1.1 specification consists of a suite of W3C Recommendations and Working Group Notes, published in 2014. A number of textbooks have been published on RDF and on Semantic Web in general. Discussions on a possible next version of RDF
Web Ontology Language Un article de Wikipédia, l'encyclopédie libre. Pour les articles homonymes, voir OWL. Le langage OWL est basé sur les recherches effectuées dans le domaine de la logique de description. Une extension de RDF[modifier | modifier le code] En pratique, le langage OWL est conçu comme une extension de Resource Description Framework (RDF) et RDF Schema (RDFS) ; OWL est destiné à la description de classes au travers de caractéristiques des instances de cette classes et de types de propriétés. RDF permet par exemple de décrire que <Jean> est le père de <Paul>, au travers des individus <Jean>, <Paul>, et de la relation est le père de. Les trois niveaux d'OWL[modifier | modifier le code] OWL permet, grâce à sa sémantique formelle basée sur une fondation logique largement étudiée, de définir des associations plus complexes des ressources ainsi que les propriétés de leurs classes respectives. OWL-Lite[modifier | modifier le code] OWL-Lite est la version la plus simple du langage OWL. .
BlindSpeak® - Send Synthesized Messages Online! Semantic Web Standards TopicMaps.org - Topic Maps Speech Recognition for The vOICe Ontology (information science) In computer science and information science, an ontology formally represents knowledge as a hierarchy of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts.[1][2] Ontologies are the structural frameworks for organizing information and are used in artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture as a form of knowledge representation about the world or some part of it. The creation of domain ontologies is also fundamental to the definition and use of an enterprise architecture framework. The term ontology has its origin in philosophy and has been applied in many different ways. The word element onto- comes from the Greek ὤν, ὄντος, ("being", "that which is"), present participle of the verb εἰμί ("be"). According to Gruber (1993): Common components of ontologies include:
Semantic Technology’s Role in Big Data Solutions? Forbes has published an article that points out an opportunity for Semantic Technology companies. The article discusses the lack of understanding in companies around big data. Author Gil Press writes, “Listening to Gartner analysts Sheila Childs and Merv Adrian talking yesterday about big data infrastructure challenges, I was reminded of a story Mike Ruettgers, former EMC CEO, liked to tell about similar challenges in the early 1990s. At the time, the reigning buzzword was ‘client/server computing,’ signaling a shift to relatively inexpensive servers based on the UNIX operating system. The early adopters were not the people in the glass houses, the data center managers. Rather, they were marketing managers and other business executives.” He goes on, “Visiting the CIO of John Deere, Ruettgers asked him whether he saw these ‘distributed systems’ coming back to be managed by the IT department. SemanticWeb community, let’s not let Mr. Image: Courtesy Flickr/ justgrimes
opds-spec.org | Open Publishing Distribution System Ontology creation for the rest of us… COE is a project whose goal is to develop an integrated suite of software tools for constructing, sharing and viewing OWL encoded ontologies based on CmapTools, a concept mapping software used in educational settings, training, and knowledge capturing. Concept maps provide a human-centered interface to display the structure, content, and scope of an ontology. Currently, our work focuses on developing conventions for constructing new Cmap OWL ontologies that will assist and guide users when forming class and property relationships among the concepts in the ontology. In addition, we are working on clustering and searching techniques that support the reuse of existing ontologies. An overview presentation is here. Startup instructions are here. The manual is here. Papers OWL Templates People Adding IHMC Public Ontologies Download Updater for V5.0.3