OntoWiki — Agile Knowledge Engineering and Semantic Web CubeViz -- Exploration and Visualization of Statistical Linked Data Facilitating the Exploration and Visualization of Linked Data Supporting the Linked Data Life Cycle Using an Integrated Tool Stack Increasing the Financial Transparency of European Commission Project Funding Managing Multimodal and Multilingual Semantic Content Improving the Performance of Semantic Web Applications with SPARQL Query Caching Great Britain Historical Geographical Information System (GBHGIS) | Great Britain Historical Geographical Information System (GBHGIS) The Great Britain Historical Geographical Information System is a unique digital collection of information about Britain's localities as they have changed over time. Information comes from census reports, historical gazetteers, travellers' tales and historic maps assembled into a whole that is much more than the sum of its parts. This site tells you more about the project itself and about historical GIS. A separate website, created by funding from the UK National Lottery and extended and re-launched with funding from the Joint Information Systems Committee, makes this resource available on-line to everyone, presenting our information graphically and cartographically.
(사)오픈소스진흥협회 Upper ontology - Wikipedia Ontology applicable across domains of knowledge A number of upper ontologies have been proposed, each with its own proponents. Library classification systems predate upper ontology systems. Any standard foundational ontology is likely to be contested among different groups, each with its own idea of "what exists". No particular upper ontology has yet gained widespread acceptance as a de facto standard. Another important factor leading to the absence of wide adoption of any existing upper ontology is the complexity. To solve this problem, some genuinely top level ontologies have been developed, which are deliberately designed to have minimal overlap with any domain ontologies. Arguments for the infeasibility of an upper ontology [edit] Historically, many attempts in many societies[which?] Another objection is the problem of formulating definitions. Those[who?] Finally, there are objections similar to those against artificial intelligence[from whom?]. Most proponents[who?] Advocates[who?]
Tutorial 4: Introducing RDFS & OWL Next: Querying Semantic Data Having introduced the advantages of modeling vocabulary and semantics in data models, let's introduce the actual technology used to attribute RDF data models with semantics. RDF data can be encoded with semantic metadata using two syntaxes: RDFS and OWL. After this tutorial, you should be able to: Understand how RDF data models are semantically encoded using RDFS and OWLUnderstand that OWL ontologies are RDF documentsUnderstand OWL classes, subclasses and individualsUnderstand OWL propertiesBuild your own basic ontology, step by stepEstimated time: 5 minutes You should have already understood the following tutorial (and pre-requisites) before you begin: Tutorial 3: Semantic Modeling In the last lesson, we compared some of the more popular traditional forms of modeling data with the semantic model, and then introduced a situation where data sharing was enhanced and made significantly easier by using a semantic web approach. 4.1 A Starting Example 01. 08. 09. 10. 11.
Wikidata GeoWordNet MooWheel: a javascript connections visualization library View the project on Google Code 06.29.2008 version 0.2 now available! get it. What's new? Looking for version 0.1 instead? The purpose of this script is to provide a unique and elegant way to visualize data using Javascript and the <canvas> object. This script requires three libraries to support it. MooWheel only requires 2 arguments to create a basic wheel graph. new MooWheel(dataArray, canvasElement); The canvas element can be passed as either an element reference or an id string. Note: In this context, the first argument (the data parameter), doesn't matter. Each item that has an "imageUrl" will have that image preloaded, and then added to the wheel when it is drawnIn terms of options, there are a number of options available that allow you to change the way the graph is generated and displayed: Using MooWheel is very simple and extremely easy. Next, you create an array of items for the connections: Then you add a container for the canvas tag to the body of your document:
GATE.ac.uk - index.html What is an ontology and why we need it Figure 8. Hierarchy of wine regions. The "A" icons next to class names indicate that the classes are abstract and cannot have any direct instances. The same class hierarchy would be incorrect if we omitted the word “region” from the class names. Only classes can be arranged in a hierarchy—knowledge-representation systems do not have a notion of sub-instance. As a final note on defining a class hierarchy, the following set of rules is always helpful in deciding when an ontology definition is complete: The ontology should not contain all the possible information about the domain: you do not need to specialize (or generalize) more than you need for your application (at most one extra level each way). For our wine and food example, we do not need to know what paper is used for the labels or how to cook shrimp dishes. Similarly, the ontology should not contain all the possible properties of and distinctions among classes in the hierarchy. A value of a slot may depend on a value of another slot.
The Sweet Compendium of Ontology Building Tools Download as PDF Well, for another client and another purpose, I was goaded into screening my Sweet Tools listing of semantic Web and -related tools and to assemble stuff from every other nook and cranny I could find. The net result is this enclosed listing of some 140 or so tools — most open source — related to semantic Web ontology building in one way or another. Ever since I wrote my Intrepid Guide to Ontologies nearly three years ago (and one of the more popular articles of this site, though it is now perhaps a bit long in the tooth), I have been intrigued with how these semantic structures are built and maintained. As far as I know, the following is the largest and most comprehensive listing of ontology building tools available. There are some 140 tools, perhaps 90 or so are still in active use. There are relatively few tools useful to non-specialists (or useful to engaging knowledgeable publics in the ontology-building exercise). Some Worth A Closer Look Comprehensive Ontology Tools