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 Potential RDF use cases for Drupal | groups.drupal.org Following up on my previous post introducing the in-progress RDF API for Drupal 6.x, I'm going to be, bit by bit, posting some of the materials that I've earlier put together internally for the project this is being developed for. Development of this project is supported through M.C. Dean and MakaluMedia on behalf of their clients. First, some requisite background. This environment presented us with a variety of challenges, such as deploying the application across multiple discrete organizations that operate under little or no centralized authority, supporting a wide range of operational scenarios, and finally managing or brokering large volumes of context-sensitive information delivered via a variety of protocols from a multitude of sources, in formats ranging from web-native to rich media files to device specific data streams. Here to the right are two slides from a presentation at our recent developer meeting (click on the images to see the full-sized version on Flickr). Many (most?)
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.*.