Crowdmap Crowdmap allows you to set up your own deployment of the Ushahidi Platform without having to install it on your own web server. Crowdmap is the fastest, simplest installation of the Ushahidi platform. Within minutes you'll be up and running with your own installation, mapping reports events and visualizing information. Things You Can Do With Crowdmap Monitor Elections Use the power of the crowd to monitor and visualize what went right, and what went wrong, in an election. Map Crisis Information Whether it's a natural disaster, epidemic or political crisis, Crowdmap is built to handle information coming out of a crisis. Curate Local Resources Crowdsourcing isn't just for emergencies, you can use it for local knowledge and business too. Document A Zombie Invasion How else will you survive the coming apocalypse? Learn more on the Crowdmap Website .
Twitter Data - A simple, open proposal for embedding data in Twi Obama’s Groundbreaking use of the Semantic Web In a revolutionary move, Obama’s administration is set to utilise next generation web technologies to bring an unprecedented level of transparency to government. In this case it will shed light on how the roughly US $800 billion dollar economic stimulus will be spent. The recently launched recovery.gov website (powered by nothing other then Drupal) brought with it the promise that citizens would be able to view where the money was going and how it was going to be spent. George Thomas, from the U.S. government website recovery.gov, presented some of the details at a talk earlier this month at Transparency Camp. He talked about the moves that the government is taking and the importance of the above technology stack to make that happen. About 2 months ago I wrote about President Obama’s usage of RDFa on whitehouse.gov. Gone are the days of Bush and back door deals and under-the-table money exchanges (Halliburton anyone?). Crowdsourcing I am excited! Tom Cruise
HyperTwitter Start Page Semantic reasoner A semantic reasoner, reasoning engine, rules engine, or simply a reasoner, is a piece of software able to infer logical consequences from a set of asserted facts or axioms. The notion of a semantic reasoner generalizes that of an inference engine, by providing a richer set of mechanisms to work with. The inference rules are commonly specified by means of an ontology language, and often a description language. Many reasoners use first-order predicate logic to perform reasoning; inference commonly proceeds by forward chaining and backward chaining. List of semantic reasoners[edit] Existing semantic reasoners and related software: Commercial software[edit] Free to use (Closed Source)[edit] Free software (open source)[edit] See also[edit] References[edit] External links[edit]
Romulus - Domain Driven Design and Mashup Oriented Development The main concept of is researching on novel methods for increasing productivity and reliability of web software development, in particularly, focused on Java web development. proposal is based on recognising some of the deficiencies of standard Java Enterprise Edition, and proposing a new paradigm for developing web applications taking advantage of new trends in software engineering, such as domain driven design combined with agile development methodologies, and some of the principles from Ruby on Rails. In order to have a serious impact, the project does not start from scratch, it is based on two mature open source projects, Roma and LIFERAY, which will be extended according to this proposal needs and following an open source project development methodology, in order to disseminate and exploit the results of the project. Integrating a “Mash-up oriented development” in the process. Web Services Mashups, such as Google Maps or Yahoo Pipes. Develop vertical solutions
DeepaMehta RDF Book Mashup The RDF book mashup demonstrates how Web 2.0 data sources like Amazon, Google or Yahoo can be integrated into the Semantic Web. The RDF book mashup makes information about books, their authors, reviews, and online bookstores available on the Semantic Web. This information can be used by RDF tools and you can link to it from your own Semantic Web data. Contents News 2009/07/17: GoodRelations support added. 1. The vision of the Semantic Web is to build a global information space consisting of linked data. The goal of the RDF book mashup is to show how Web 2.0 data sources can be integrated into the Semantic Web, meaning that Web 2.0 data can be browsed using generic RDF browsers like Tabulator and can be crawled and cached by Semantic Web search engines like SWSE, SWOOGLE or the Semantic Web Client Library, which will eventually make it possible to query the complete Web using the SPARQL query language. The book mashup applies these principles to Web 2.0 data about books. 2. 3. 4. 5. 6.
BioTop - A Top-Domain Ontology for the Life Sciences Overview The flood of data and factual knowledge in biology and medicine requires principled approaches to their proper analysis and management. A cornerstone in this effort constitutes the precise and complete description of the fundamental entities within this domain in terms of formal ontologies. However, biomedical ontology development often still do not adhere to basic design principles: For example, even very low-level domain terms often lack precise and unambiguous (logical) definitions. In light of this we introduce BioTop, a top-domain ontology that provides definitions for the foundational entities of biomedicine as a basic vocabulary to unambiguously describe facts in this domain. BioTop is founded upon formal design principles (as propagated by the OBO Foundry initiative) and implemented in OWL-DL, the standard ontology language on the Semantic Web. In connection with this modularization efforts we have further carried out some other alignment efforts: Implementation Feedback
Collaborative Protege The format of the Changes and Annotation ontology (ChAO) has changed in Protege 3.4.2 release. If have an existing ChAO project created with an earlier version of Protege and would like to take advantage of the new features, please follow the upgrade instructions from here. Collaborative Protege is an extension of the existing Protege system that supports collaborative ontology editing. In addition to the common ontology editing operations, it enables annotation of both ontology components and ontology changes. It supports the searching and filtering of user annotations, also known as notes, based on different criteria. The multi-user mode - allows multiple clients to edit simultaneously the same ontology hosted on a Protege server. This user guide applies to both multi-user and standalone mode of Collaborative Protege. Collaborative Protege is distributed with the full installation of Protege. Stand-alone mode Install the full distribution of the latest version of Protege 3.*.