Work Plan in Detail - IKS

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Executive Summary Interactive Knowledge (IKS) is an integrating project whose target are the hundreds of SMEs in Europe providing technology platforms for content and knowledge management to thousands of end user organisations. Downstream, hundred-thousands of corporate end users and millions of content consumers are affected by the quality of service provided through these platforms. The majority of these platforms is built under the "Linux/Apache/mySQL/php" paradigm known as the LAMP stack. More advanced CMS platforms are provided by firms with a software engineering background using frameworks such as .NET and JEE5. All of these frameworks lack the capability for semantic web enabled, intelligent content, and therefore lack the capacity for users to interact with the content at the user's knowledge level Interactive Knowledge will close the ... • … engineering gap for CMS architectures: the Interactive Knowledge Technology Stack will enable many open source CMS frameworks to become semantically enabled • … research gap on user interaction with knowledge objects: the use of semantics to support direct user interaction with knowledge content will be a focus of Interactive Knowledge • … research gap on empirical validation: we involve a group of six technology providers and further 50 smaller CMS/KMS providers for controlled engineering experiments to ensure quantitative analysis of requirements and of subsequent technology validation for semantically enabled, interactive knowledge and content management systems. • ... impact gap for industrial take-up: starting with six industrial partners in the consortium, we will recruit 50 more European CMS/KMS providers and activate a dozen relevant open source communities to embrace IKS specifications, and be present in standards bodies (W3C,OASIS, etc). INTERACTIVE KNOWLEDGE invites all stakeholders to work towards bringing European CMS/KMS providers to the leading edge of innovation in knowledge technologies, for the benefit of all users. ...and the winners are Zemanta ...the community at work 2 ...IKS leaders emerge
Main Concepts aoreet nec interdum By Trenz Pruca The Problem - poor Malesuada technology quis, egestas breeds quis, poor solutions felis nunc, aliquam - poor ac, solutions consequat breed poor productivity. wisi. Donec ac sapien. Ut orci. vitae, feugiat at, blandit vitae, There are several hundred CMS and KMS provider SMEs in Europe, and most of them are currently not Duis ultricies, metus a feugiat euismod vel, nunc. Aenean ut able to leverage semantics-based porttitor, dolor mauris technology convallis for erat use ut in nibh their commodo systems. suscipit. This has negative impact downstream, on thousands est, quis mattis of end lacus user ligula organisations eu Maecenas which metus are non served quam. by these providers, and ultimately, tens or hundreds augue. Sed of facilisis. thousands Morbi of lorem knowledge Nam workers uut, massa. in the Maecenas downstream organisations are prevented from leveraging mi, tristique their vitae, skills. sodales The eget, poor vitae technology ante et lacus base aliquam of CMS/KMS providers is a major in- hendrerit sed, erat lorem ipsum. hendrerit. Aenean ut erat ut hibitor of progress and innovation, world-wide. Vestibulum eget purus vitae nibh commodo suscipit. Curabi- Interactive Knowledge eros is ornare an integrating adipiscing. Vivamus project with tur nunc impact eros, on euismod content in, con- and knowledge management technology providers nec in quam. Europe. Integer In vestibulum the area of intelligent vallis at, vehicula content sed we consecte- identified four fundamental gaps malesuada libero. Sed vehicula tuer posuere. that so far, appear to have been neglected by stakeholders and which lie at the heart of the above fermentum leo. In condimentum. productivity problem: Nullam wisi arcu, suscipit con- Malesuada quis, egestas quis, • the engineering sectetuer. gap w.r.t. Vestibulum architectures: imperdiet Semantic wisi. Donec Web research ac sapien. has Ut been orci. moving into academic speciali- nonummy sem. Vivamus sit amet Duis ultricies, metus a feugiat sation and the research community has been neglecting that industry needs coherent architectures to fit erat nec turpis tempus conse- porttitor, dolor mauris convallis into existing technology landscapes, and that it needs development and migration paths from "traditional" quat. Praesent malesuada. Donec est, quis mattis lacus ligula eu to semantics-enabled technologies - Interactive Knowledge addresses this problem by its "Semantic CMS vitae dolor. Donec at lacus ac mi augue. Sed facilisis. Morbi lorem Technology Stack", which will demonstrate migration paths from the current "Linux/Apache/mySQL/php" vehicula bibendum. Donec mi, tristique vitae, sodales eget, paradigm (known feugiat as the tempor LAMP libero stack) Aenean to a framework ut hendrerit which sed, is erat compatible lorem ipsum. with developments in the semantic web research erat communities. ut nibh commodo There suscipit. are significant research challenges in understanding "The Stack" and its layers. Nam uut, massa. Maecenas vitae ante et lacus aliquam hendrerit. Curabitur nunc eros, euismod in, convallis at, vehicula sed consectetuer posuere, eros mauris dignissim diam, pretium • the research gap sed pede w.r.t. suscipit: user interaction Adiam condi- with knowledge objects: Semantic Web research has several important strands mentum of investigation: purus, in consectetuer ontology languages such as OWL; the representation of processes; the use of rules in ontologies; Proin in sapien. semantic web services; reasoning engines; large-scale knowledge bases, and ad- Fusce urna magna,neque vanced query languages such as SPARQL. Recently, a lot of interest has shifted to social computing and eget lacus. Maecenas felis nunc, semantic technologies. What remains poorly understood, however, is the adequate representation of se- aliquam ac, consequat vitae, mantics in the user interface, so that the user can interact with the "knowledge" directly! This is where In- feugiat at, blandit vitae, euismod teractive Knowledge vel, nunc. is Aenean addressing ut erat a ut major nibh gap which requires also a thorough understanding of the existing work in semantic commodo technologies. suscipit. Maecenas • the research gap metus w.r.t. non to quam. empirical validation: Interactive Knowledge involves a core group of six tech- Cras erat. Aliquam pede. nology providers and an extended group of up to 50 smaller CMS/KMS providers and engages them in vulputate eu, estmorbi tristique controlled engineering experiments to understand which semantics-based approaches will work and what senectus et netus et male. Ali- will not work, and on what time-scales. This way, we ensure valid substantiations of our claims. quam pede. Proin neque est, • the impact gap sagittis w.r.t. at, industrial semper vitae, take-up: tin- Knowledge technologies have simply not arrived yet, in mainstream content cidunt and knowledge quis Malesuada management quis, eges- - Many European technology providers are SMEs and even the advanced media tas management quis, wisi. Donec providers ac sapien. have not yet, even understood the potential of relatively simple semantic web technology, Ut orci. Duis such ultricies, as the metus use a of RDF! Interactive Knowledge will involve up to 50 European feugiat porttitor, dolor mauris CMS and KMS providers bringing knowledge technologies to them. It will activate a dozen open source convallis est, quis mattis lacus communities which have stakes in related fields such as intelligent lay-outing and semantics-enabled stor- ligula eu augue. Sed facilisis. age solutions for content. Interactive Knowledge will also be present in standards bodies such as W3C and Morbi lorem mi, tristique vitae, OASIS to ensure sodales a balance eget, between hendrerit industrial sed, effectiveness and conceptual soundness of CMS and KMS related standardisation. erat.. Vestibulum usce urna magna,neque eget lacus. Maecenas 3
Page 1: Interactive Knowledge Stack for sma
Page 5 and 6: • There have been three waves of
Page 7 and 8: IKS developed a working hypothesis
Page 9 and 10: • Development of the Intelligent
Page 11 and 12: Implementation Plan aoreet nec inte
Page 13 and 14: WP2 serves the purpose of providing
Page 15 and 16: chronisation" between traditional d
Page 17 and 18: WP 7 - Methodology for developing I
Page 19 and 20: This viewpoint requires to place co
Page 21 and 22: 21 Work Plan in Detail Each of the
Page 23 and 24: By Trenz Pruca Malesuada quis, eges

Work Plan in Detail - IKS

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