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Protege Ontology Library

Protege Ontology Library
OWL ontologies Information on how to open OWL files from the Protege-OWL editor is available on the main Protege Web site. See the Creating and Loading Projects section of the Getting Started with Protege-OWL Web page. Other ways to search for OWL ontologies include using Google: or the new Semantic Web search engine called Swoogle. AIM@SHAPE Ontologies: Ontologies pertaining to digital shapes. Frame-based ontologies In the context of this page, the phrase "frame-based ontologies" loosely refers to ontologies that were developed using the Protege-Frames editor. Biological Processes: A knowledge model of biological processes and functions that is graphical, for human comprehension, and machine-interpretable, to allow reasoning. Other ontology formats Dublin Core: Representation of Dublin Core metadata in Protege. Related:  Enterprise Architecture Collectionontologie

The TAO of Topic Maps Finding the Way in the Age of Infoglut Table of contents Abstract Topic maps are a new ISO standard for describing knowledge structures and associating them with information resources. While it is possible to represent immensely complex structures using topic maps, the basic concepts of the model — Topics, Associations, and Occurrences (TAO) — are easily grasped. Note The original version of this paper was published in June 2000 and thus predates the development of XTM (XML Topic Maps). Since this paper deliberately avoids syntactical issues, the fact that there are now two standard interchange syntaxes for topic maps (HyTM and XTM) is not a problem. If the concepts described in this paper turn you on, look for pointers to further reading at [Ontopia 2002]. Biography Steve Pepper is the Founder and Chief Strategy Officer of Ontopia, a company dedicated to the development of high quality topic map software and the provision of consulting and training services. 1. 2. 2.1. 6. 2.2. soprano 2.3.

Osate 2 - AadlWiki From AadlWiki Introduction Osate 2 is an open-source tool platform to support AADL v2. In January 2012 correction to a number of errata to AADL v2 have been approved. This tool intends both end users and tool developers. Download OSATE2 comes in two versions: the stable and testing. Graphical Editor A graphical editor is available in OSATE. Documentation Editing a first AADL model: Small tutorial to show how to create a first AADL model with Osate 2. The core The core consists in supporting the language in Eclipse. Official Plug-ins The official plug-ins are part of the OSATE2 releases and included in update site. External Plug-ins Adele Graphical Editor: as OSATE2 plug-in from ElliDiss. Using OSATE2 There are different ways to use OSATE: Eclipse plugin: you can use OSATE2 either by using the Eclipse graphical framework As a standalone Java application (also called command-line): the following page Also, you might be interested by our list of OSATE 2 tips & tricks.

LODE - Live OWL Documentation Environment Live OWL Documentation Environment (LODE), version 1.2 dated 3 June 2013, is a service that automatically extracts classes, object properties, data properties, named individuals, annotation properties, general axioms and namespace declarations from an OWL and OWL2 ontology, and renders them as ordered lists, together with their textual definitions, in a human-readable HTML page designed for browsing and navigation by means of embedded links. This LODE service is an open source development, and can be freely used, as described in this document. It may be used in conjunction with content negotiation to display this human-readable version of an OWL ontology when the user accesses the ontology using a web browser, or alternatively to deliver the OWL ontology itself when the user accesses the ontology using an ontology editing tool such as Protégé and NeOn Toolkit. The following pseudo-URL describes the way to call the LODE service: where: www.essepuntato.it/lode is the URL to call the service.

RDF-Gravity Sunil Goyal, Rupert Westenthaler {sgoyal, rwestenthaler}@salzburgresearch.at Salzburg Research, Austria RDF Gravity is a tool for visualising RDF/OWL Graphs/ ontologies. Its main features are: Graph VisualizationGlobal and Local Filters (enabling specific views on a graph) Full text SearchGenerating views from RDQL QueriesVisualising multiple RDF files RDF Gravity is implemented by using the JUNG Graph API and Jena semantic web toolkit. Figure 1: Screenshot of RDF-Gravity, showing a part of Wine Ontology 1 Graph Visualisation RDF Gravity defines a visualization package on top of the JUNG Graph API. Configurable renderers for edges and nodes of a graph, including different node shapes and edge decorations etc.A Renderer Factory allowing the configuration of the above node and edge renderers based on the type of an edge or node. For graph layout, it uses the layout algorithms directly supported by the Jung API. 2 Global & Local Filters 3 Full Text Search 4 Visualising Multiple RDF Files

Tool Integrators |Toolsets | OSATE The SAE AADL accommodates OSATE, which provides a low entry-cost solution based on Eclipse and the Eclipse Modeling Framework (EMF). The SEI has developed OSATE as a set of plug-ins on top of the open-source Eclipse platform to provide a toolset for front-end processing of AADL models. The OSATE front-end has been augmented with a set of plug-ins (see Figure 1), including an AADL to MetaH converter, several analysis plug-ins for performing various architecture consistency checks and distributed resource allocation and scheduling analysis. Figure 1: OSATE Plug-In Development for AADL For information on getting started with OSATE plug-in development, check out the OSATE resources page.

Penser, modéliser (pour le web de données) (1/2) - Sparna J’ai récemment eu le plaisir de collaborer avec la société Anaphore à la mise au point d’un modèle d’ontologie pour décrire des fonds d’archives. S’il ne m’appartient pas de dévoiler le contenu de ce modèle qui sera je l’espère rendu public dans quelques semaines, je voulais donner quelques retours d’expérience sur le processus de modélisation lui-même, ainsi que sur quelques motifs de conception que nous avons mis en oeuvre (dans un second article). Pour quoi modélise-t-on ? La question n’est pas aussi simple qu’il n’y parait, et il y a tout à gagner à mettre à plat dès le début du travail de modélisation la distinction entre : un modèle/format de travail;un modèle/format d’échange;et un modèle conceptuel; Est-ce que l’on cherche à définir un modèle de travail qui sera utilisé à l’intérieur d’un système logiciel (le schéma des tables de sa base de données, pour faire simple) ? « Les formats d’échange permettent de rendre lisibles par différentes applications les mêmes données. « Be real »

GUESS: The Graph Exploration System, Download Download If you would just like to run GUESS you have the option: Version 1.0.3-beta Install the latest beta (08/13/2007). This does not come with an installer, but has many more features. If you have the 1.0.2 version installed you can just download the "upgrade". I am working on a general installer for all systems, but please let me know if you have any problems installing in the meantime. You will want to read the README.TXT and tutorial/walk through in the manual. Source GUESS is distributed under a GPL license.

CEB IT Roadmap Builder Register for our webinar on May 7 to learn more about Six IT Roadmaps for Better Business Outcomes. Register for the Webinar Learn more about the six common IT roadmaps, as well as how to create, maintain, and communicate better IT roadmaps. Download the Whitepaper Watch organizations improve how they create, visualize and communicate their IT plans. Watch the Video See what your IT organization's roadmap looks like with CEB IT Roadmap Builder. Take the Diagnostic Watch how various parts of an IT organization use CEB IT Roadmap Builder. Watch the Video Featured in MIT Technology Review. Read the Article Réseau bayésien Un article de Wikipédia, l'encyclopédie libre. Un réseau bayésien est en informatique et en statistique un modèle graphique probabiliste représentant des variables aléatoires sous la forme d'un graphe orienté acyclique. Intuitivement, ils sont à la fois : Pour un domaine donné (par exemple médical), on décrit les relations causales entre variables d'intérêt par un graphe. Dans ce graphe, les relations de cause à effet entre les variables ne sont pas déterministes, mais probabilisées. L'intérêt particulier des réseaux bayésiens est de tenir compte simultanément de connaissances a priori d'experts (dans le graphe) et de l'expérience contenue dans les données. Intuition[modifier | modifier le code] Un exemple très simple dans la modélisation des risques[modifier | modifier le code] Un opérateur travaillant sur une machine risque de se blesser s’il l’utilise mal. Bien sûr, ces facteurs ne permettent pas de créer un modèle déterministe. Fig. 1 : structure de causalité. si et seulement si et avec

Stanford KSL Network Services HSSP - home SPEAR Algorithm The SPEAR algorithm is a tool for ranking users in social networks by their expertise and influence within the community. In 2009, my co-worker Ching-man Au Yeung from University of Southampton and I presented the SPEAR ranking algorithm in our joint paper Telling Experts from Spammers: Expertise Ranking in Folksonomies at the ACM SIGIR 2009 Conference in Boston, USA. The graph-based SPEAR ranking algorithm (Spamming-resistant Expertise Analysis and Ranking) is a new technique to measure the expertise of users by analyzing their activities. The focus is on the ability of users to find new, high quality information in the Internet. The original use case – and the one described in our SIGIR paper – has been to find expert users and high quality websites for a given topic on the social bookmarking service Delicious.com, back in 2009 still a Yahoo! The two main elements of the SPEAR algorithm are: Figure 1: The SPEAR algorithm gives more credit to early discoverers of new information. C.

MindManager, FreeMind and Personal Brain users Importing to 3D Topicscape Pro from MindManager, FreeMind and Personal Brain (and exporting to FreeMind) Personal Brain import Some of our early Beta Users were Personal Brain users, so from the beginning, we gave them a way of importing their information into 3D Topicscape. 3D Topicscape Pro can read .pba files (exported by Personal Brain Pro) directly and build you a 3D landscape of the information from the Brain, including the structure, all files and notes. The transformation is amazing and the view you will have allows relationships and duplications that were never spotted before to be seen clearly. Not only that, but the import extender can go into the PB database directly and extract Labels, Tags and Types directly. Personal Brain's own exporter will not do that for you. For an enlightening comparison of what 3D Topicscape can do for you and what PersonalBrain cannot, see TheBrain Comparison Chart. MindManager import Here at G&A M.C. we use MindManager regularly.

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