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ConceptNet 5. OpenIRIS. OpenIRIS is the open source version of IRIS, a semantic desktop that enables users to create a "personal map" across their office-related information objects.


The name IRIS is an acronym for "Integrate. Relate. Infer. Share. " IRIS includes a machine-learning platform to help automate this process. IRIS was built as part of SRI International's CALO project, a very large artificial intelligence funded by the Defense Advanced Research Projects Agency (DARPA) under its Personalized Assistant that Learns program.[1] Integrate: IRIS harvests and unifies the data from multiple, independently-developed applications such as email (Mozilla), web browser (Mozilla), file manager, calendar (OpenOffice), and Chat (XMPP).Relate: IRIS stores this data an ontology-based KB that supports rich representation and connection to the user's worklife.

Related Work[edit] CALO. CALO was an artificial intelligence project that attempted to integrate numerous AI technologies into a cognitive assistant.


CALO is an acronym for "Cognitive Assistant that Learns and Organizes". The name was inspired by the Latin word "calonis," which means "soldier’s servant". The project started in May 2003 and ran for five years, ending in 2008. CALO was funded by the Defense Advanced Research Projects Agency (DARPA) under its Personalized Assistant that Learns (PAL) program.[1][2] DARPA's five-year contract brought together over 300 researchers from 25 of the top university and commercial research institutions, with the goal of building a new generation of cognitive assistants that can reason, learn from experience, be told what to do, explain what they are doing, reflect on their experience, and respond robustly to surprise. Functions[edit] Background. Concept of knowledge and learning theory As the DeepaMehta Project was founded in February 2000, knowledge management was hype.


That was the occasion to reflect on what knowledge is. We believe that knowledge is never stored in computers, but information. Knowledge is created in our minds. Knowledge creation is an individual cognitive process that takes place in humans. Mind Maps and Concept Maps are graphical methods that can help in thinking, learning, memory and idea generation. Topic Maps. Topic Maps is a standard for the representation and interchange of knowledge, with an emphasis on the findability of information.

Topic Maps

Topic maps were originally developed in the late 1990s as a way to represent back-of-the-book index structures so that multiple indexes from different sources could be merged. However, the developers quickly realized that with a little additional generalization, they could create a meta-model with potentially far wider application. The ISO standard is formally known as ISO/IEC 13250:2003. A topic map represents information using topics, representing any concept, from people, countries, and organizations to software modules, individual files, and events,associations, representing hypergraph relationships between topics, andoccurrences, representing information resources relevant to a particular topic. Topic Maps are similar to concept maps and mind maps in many respects, though only Topic Maps are ISO standards. Gnowsis. KDE. The goal of the community is to provide basic desktop functions and applications for daily needs as well as tools and documentation for developers to write stand-alone applications for the system.


In this regard, the KDE project serves as an umbrella project for many standalone applications and smaller projects that are based on KDE technology. These include Calligra Suite, digiKam, Rekonq, K3b, and many others. Baloo - KDE Community Wiki. Baloo is the next generation of the Nepomuk project.

Baloo - KDE Community Wiki

It's responsible for handling user metadata such as tags, rating and comments. It also handles indexing and searching for files, emails, contacts, and so on. Mailing List: IRC Channel: #kde-baloo on freenode Baloo focuses on providing a very small memory footprint along with with extremely fast searching. It also supports storing additional file based metadata via extended attributes. Contributing to Baloo. KDE e.V. KDE e.V. is a registered non-profit organization that represents the KDE community in the legal and financial entities.

KDE e.V.

The association supports KDE’s work in cash, hardware, and other donations, and then the use of donations to help the KDE development, but not influence on development. “e.V.” stands for “eingetragener Verein” which means “registered association”.[2] The three flags on top of the KDE e.V. logo represent the three main tasks of the KDE e.V.: supporting the community, representing the community, and governing the community.[3] History[edit] In August 1997, KDE One was held in Arnsberg, Germany.

KDE Plasma Workspaces. KDE Plasma Workspaces is the umbrella term for all graphical environment provided by KDE.

KDE Plasma Workspaces

Plasma separates component into "data engine" and their visualization counterparts. This is intended to reduce the total programming effort when there are multiple possible visualizations of given data; and to make it easier for the data engine and the workspaces to be written independently. Currently there are three workspaces being developed: Plasma Desktop for traditional desktop PCs and notebooks, Plasma Netbook for netbooks,[4] and Plasma Active for tablet PCs and similar devices.[5][6] Features[edit] Plasma features containments, essentially an applet that contains other applets. KRunner in Plasma Desktop 4.3 QuickSand interface KRunner is a versatile tool for several functions.[14] It replaces the dialog box "Run Command" from K Desktop Environment 3, and also inherits from the application launcher feature, expanding the possibilities through a modular plug.

KDE's Nepomuk Doesn't Seem To Have A Future. It appears there isn't much of a future left to KDE's Nepomuk framework.

KDE's Nepomuk Doesn't Seem To Have A Future

It's going to be replaced going forward in the KDE land. Nepomuk is the social semantic desktop framework that was largely developed in KDE SC 4 and uses RDF (Resource Description Framework) data storage. The reported cost of developing Nepomuk was reportedly 17 million Euros, after the European Union had invested most of that money into its development for advancing the semantic desktop (update: There's some confusion over the Nepomuk investment and apparently not for the KDE portion). KDE Nepomuk finally reached a mature state in KDE SC 4.11. Phoronix reader Eric Griffith pointed out an interesting mailing list post this weekend that was originally written back in December.

Semantic Desktop and KDE 4 – State and Plans of Nepomuk-KDE [Update] Nepomuk-KDE is the basis for the semantic technologies we will see in KDE 4.

Semantic Desktop and KDE 4 – State and Plans of Nepomuk-KDE [Update]

Sebastian Trüg, the main developer behind Nepomuk-KDE, provided me with some up2date information about the current state and future plans. The Semantic Desktop describes the idea where users will not only be able to search existing information, but also to search for the meaning and relation of these information. The KDE Workspaces. The KDE Workspaces KDE offers an array of different workspaces, each tailored to a different kind of workflow or computing device. Each workspace provides a modern and customizable environment for running your favorite applications and accessing your information wherever it may be. Other common attributes of the KDE workspaces include advanced window management and desktop effects, support for KDE Plasma Widgets, integrated search, hardware management and a high degree of customizability.

Frameworks 5. A recent Dot article explained changes in the KDE release cycle that will be happening with the upcoming introduction of Frameworks 5. The changes to KDE's libraries are enough to warrant a name change from 'Platform' to 'Frameworks'.