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Ontology Explorer

Ontology Explorer

Symphony of Science Categorization There are many categorization theories and techniques. In a broader historical view, however, three general approaches to categorization may be identified: Classical categorizationConceptual clusteringPrototype theory The classical view[edit] The classical Aristotelian view claims that categories are discrete entities characterized by a set of properties which are shared by their members. According to the classical view, categories should be clearly defined, mutually exclusive and collectively exhaustive. Conceptual clustering[edit] Conceptual clustering developed mainly during the 1980s, as a machine paradigm for unsupervised learning. Categorization tasks in which category labels are provided to the learner for certain objects are referred to as supervised classification, supervised learning, or concept learning. Conceptual clustering is closely related to fuzzy set theory, in which objects may belong to one or more groups, in varying degrees of fitness. Prototype Theory[edit]

Introducing The 2012 Alva Emerging Fellows Earlier this spring we launched our new Alva Emerging Fellowship program, providing cash grants to empower the next generation of inventors to take action on their ideas. With ideas spanning from iPhone apps to turbines, we received a truly inspiring range of proposals from young innovators striving to change the world for the better. Presented with our friends at GE, the Alva Emerging Fellowships support three innovators under 30 years of age who have demonstrated remarkable potential to create useful and innovative new products or services that will make an impact on the world. Without further ado, here are our three 2012 Alva Emerging Fellows!– Company:IPT Creators: Adam Booher w/ Ehsan Noursalehi and Jonathan Naber Innovation: Open Socket, an affordable prosthetic arm for people in developing countries. The Concept: Traditional efforts to improve the lives of people in developing countries often result in products that are designed for the “Other 90%”. www.supportipt.org www.onebeep.org

Alphabet of human thought The alphabet of human thought is a concept originally proposed by Gottfried Leibniz that provides a universal way to represent and analyze ideas and relationships, no matter how complicated, by breaking down their component pieces. All ideas are compounded from a very small number of simple ideas which can be represented by a unique "real" character.[1][2] René Descartes suggested that the lexicon of a universal language should consist of primitive elements. The systematic combination of these elements, according to syntactical rules, would generate "an infinity of different words". In the early 18th century, Leibniz outlined his characteristica universalis, an artificial language in which grammatical and logical structure would coincide, which would allow much reasoning to be reduced to calculation. See also[edit] References[edit] Jump up ^ Geiger, Richard A.; Rudzka-Ostyn, Brygida, eds. (1993).

Research Groups and Projects Each Media Lab faculty member and senior research scientist leads a research group that includes a number of graduate student researchers and often involves undergraduate researchers. How new technologies can help people better communicate, understand, and respond to affective information. How technology can be used to enhance human physical capability. How to create new ways to capture and share visual information. How new strategies for architectural design, mobility systems, and networked intelligence can make possible dynamic, evolving places that respond to the complexities of life.

Bloom's Taxonomy Bloom's wheel, according to the Bloom's verbs and matching assessment types. The verbs are intended to be feasible and measurable. Bloom's taxonomy is a classification of learning objectives within education. It is named for Benjamin Bloom, who chaired the committee of educators that devised the taxonomy, and who also edited the first volume of the standard text, Taxonomy of Educational Objectives: The Classification of Educational Goals. Bloom's taxonomy refers to a classification of the different objectives that educators set for students (learning objectives). Bloom's taxonomy is considered to be a foundational and essential element within the education community. History[edit] Although named after Bloom, the publication of Taxonomy of Educational Objectives followed a series of conferences from 1949 to 1953, which were designed to improve communication between educators on the design of curricula and examinations. Cognitive[edit] Knowledge[edit] Comprehension[edit] Application[edit]

Marcel Roland Un article de Wikipédia, l'encyclopédie libre. Le Presqu'homme, roman de Marcel Roland publié en 1908 Marcel Roland (1879-1955) est un écrivain français, célèbre par ses ouvrages de vulgarisation scientifique publiés au Mercure de France. Il fut en outre romancier et conteur pour les journaux. Il est connu des amateurs d'anticipation ancienne pour ses ouvrages : Le Presqu'homme (1908)Le Déluge futur (1910)La Conquête d'Anthar (1913, prix Excelsior)Le Faiseur d'or (1913-1914)Quand le phare s'alluma (1921-1922)Osmant le rajeunisseur (1925). Il a également publié des nouvelles : « Sous la lumière inconnue », dans le journal Le Miroir (n° 52, 23 mars 1913), « Le Serpent fantôme » et « L'Échelon » (Journal Le Rocambole n° 6), ainsi que plusieurs contes, de 1911 à 1915. Parmi ses œuvres naturalistes, il faut citer : 1) Vie et Mort des Insectes, 19362) La Grande Leçon des petites bêtes, 1938.3) La féerie du microscope.4) Mimétisme et instinct de défense, 1941.5) Amour, harmonie, beauté

Listing of 185 Ontology Building Tools At the beginning of this year Structured Dynamics assembled a listing of ontology building tools at the request of a client. That listing was presented as The Sweet Compendium of Ontology Building Tools. Now, again because of some client and internal work, we have researched the space again and updated the listing [1]. All new tools are marked with <New> (new only means newly discovered; some had yet to be discovered in the prior listing). Comprehensive Ontology Tools Altova SemanticWorks is a visual RDF and OWL editor that auto-generates RDF/XML or nTriples based on visual ontology design. Not Apparently in Active Use Adaptiva is a user-centred ontology building environment, based on using multiple strategies to construct an ontology, minimising user input by using adaptive information extractionExteca is an ontology-based technology written in Java for high-quality knowledge management and document categorisation, including entity extraction. Vocabulary Prompting Tools Ontology Editing

Public Library of Science Protégé Fonctionnalités générales La plateforme Protégé, est un éditeur d'ontologies, et un framework de base de connaissances très convivial, basé sur Java. Une ontologie, en informatique, est un ensemble structuré de savoirs dans un domaine de connaissance particulier. Protégé offre 3 approches pour développer une ontologie : l'éditeur Protégé-OWL permet de construire des ontologies pour le web sémantique (Protégé 3.4.2 et Protégé 4.0.2),l'éditeur Protégé-Frames permet de construire et peupler des bases de connaissances basées sur des frames (Protégé 3.4.2),l'équipe de développement de Protégé, travaille également sur l'édition d'ontologies à travers une interface web (WebProtégé 0.5 alpha). Protégé permet d'utiliser le langage OWL, qui est le langage informatique utilisé pour modéliser des ontologies. Protégé permet un fonctionnement en mode client/serveur avec une gestion des droits ajustables en fonction des profils souhaités. Autres fonctionnalités Interopérabilité

How to Determine If A Controversial Statement Is Scientifically True A small typo: "...Dr. Plait warned that [t]here are a few things to watch out for...". Great article overall, though I wonder if it advocates leaning on authority figures a bit too much. I think it's fairly obvious that the evidence itself is more important than whoever presents it, but I wish this were stated more explicitly. It can be next to impossible for laypeople to determine the difference between "legitimate" experts and their counterparts (and in some fields "legitimacy" may be ill-defined to the point of meaninglessness, and even experts aren't *always* right). Flagged Thanks for the correction - and excellent points, thank you!

Project Homepage » Ontology Deployment GI2MO is not only delivers an ontology but also a data model of a generic Idea Management System and instructions how to apply Semantic Web technologies to achieve a complete solution. 1. Introduction One of the good practices of the Semantic Web is to reuse ontologies to name common concepts and move towards a state where different domains are interlinked both through common namespaces and references between the data. In case of Idea Management this could lead to easier integration with other enterprise management systems such as PLM, PLCM, ERP etc.; development and engineering tools (e.g. bug tracking systems, IDEs); social spaces (popular portals such as Twitter or Facebook). 2. Idea GenerationIdea ImprovementIdea SelectionIdea ImplementationIdea Deployment Each of the phases can defines different actors and operations (see Fig. 1) that in turn produce different data that enriches idea and connected assets in different ways. Fig.1 Idea Life Cycle and actors involved in the process. 3.

Exploratorium: the museum of science, art and human perception

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