Technologies for Information Management
FP7 Projects
This page provides you with access to details on projects in the area of Information and Communication Technologies (ICT) of the Seventh Framework Programme (FP7).
Research topics cover a wide range of ICT fields (see the image), and with one click on the project acronym in the image of clusters you will find the respective Project Synopsis.
The Project Synopses can also be found in the list of FP7 Projects (in alphabetical order).
FP7 Projects (in alphabetical order)
Following to FP7 ICT Call 1, Call 3 and Call 5 the complete set of the 45 up-and-running projects are listed here.With one click on the project logo you reach the project website.
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ACTIVE - Enabling the Knowledge Powered Enterprise Effective means for supporting the productivity of knowledge workers ACTIVE technology aims at increasing the productivity of knowledge workers through tools that leverage hidden factual and procedural knowledge. The project will advance research and integrate technologies to realise the vision of an integrated and contextualised knowledge workspace, which will result in the ACTIVE Knowledge Workspace. This platform is open and scalable and well integrated into existing desktop applications and intranet portal solutions of an enterprise. ACTIVE will generate sustainable impact by deploying the tools and applications in three industry sectors: consulting, telecommunication and engineering. |
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ADVANCE - Advanced predictive-analysis-based decision-support engine for logistics Enabling strategic planning coupled with instant decision making to provide vision in a blizzard of data Logistics networks accumulate OVER 1 BILLION new items of information per month (customer orders, pallet-vehicle movement, GPS data, postcodes, depot data, etc.), generated every minute of each day by thousands of pallets travelling on hundreds of trailers |
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ANSWER - Artistic-Notation-based Software Engineering for Film, Animation and Computer Games A new approach to the creative process of film and game production ANSWER assists the creative artist to record a distilled, clear, accurate description of the media she wishes to create. The project will produce a notion system (DirectorNotation) for describing the creation of multimedia content. This will offer a bridge between digital media production and animation for game design. Creative artists in several domains will be allowed to express creativity in an artistically significant language. The facility that notes have provided to music, and dance notation to choreography will be acquired. The ANSWER tools will optimise the human, artistic, conceptualisation, understanding and creative mechanisms that lead to the production of media, and also offer a process of recording this conceptualisation in a machine-processable representation. |
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APIDIS - Autonomous Production of Images based on Distributed and Intelligent Sensing A framework to automate the collection and distribution of digital content APIDIS will investigate the automatic extraction of intelligent content from networks of multi-modal sensors. It will exploit the knowledge to automate the production of video content for controlled scenarios (sports events or surveillance). The project will also consider personalised and potentially interactive content summarization mechanisms to address heterogeneous user needs and access conditions. APIDIS will develop applications that are cost-effective and fully automated production of content dedicated to small-audience (e.g. personal recordings, university lectures etc.) but also automated summarization for video surveillance. |
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CALBC - Collaborative Annotation of a Large Biomedical Corpus Novel approach of consensus annotations amongst systems that have been built under different assumptions While it is universally acknowledged that annotating scientific literature with formal knowledge would make scientists more productive, these annotations are today very expensive to produce. CALBC's goal is to demonstrate that it is possible to bootstrap automatic (i.e. inexpensive) annotations of satisfactory quality by having a large number of annotation programs all annotate the same corpus in several iterations and improving their accuracy over time by learning from each other's strengths and mistakes. In order to do this CALBC will prepare an appropriately representative corpus of biomedical literature and construct a web based system that would allow any developer of biomedical text-mining applications to submit their annotation of the corpus, determine how this submission diverges from all the others and exploit this information to improve its performance. The final corpus, together with its final annotation (based on a consensus from all the individual submissions) will be made publicly available. |
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CASAM - Computer-Aided Semantic Annotation of Multimedia Human - Machine synergy CASAM will facilitate the synergy of human and machine intelligence to significantly speed up the task of human-produced semantic annotation of multimedia content. The project will deal with the task of aggregating human and machine knowledge with the ultimate target of minimizing human involvement in the annotation procedure. Intelligent human-computer interaction is of central importance, and the concept of effort-optimized knowledge aggregation will be introduced. This as the task of reaching the desired result by requiring the least effort from the user. CASAM will provide a significant boost to the long term goal of achieving really large-scale and precise annotation of multimedia documents with minimum human effort. |
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Cubist - Combining and Uniting Business Intelligence and Semantic Technologies The constantly growing amounts of data and an emerging trend of incorporating unstructured data into analytics is bringing new challenges to Business Intelligence (BI). Contemporary BI solutions fall short in the following aspects: Firstly, they focus only on structured data and disregard the increasing amount of information hidden in unstructured data. Next, BI users are dealing with increasingly complex analyses, but the complexity of BI tools becomes the biggest barrier for their success. CUBIST is an EU-funded research project which envisions to leverage BI to a new level of precise and user-friendly analytics of data. CUBIST follows a best-of-breed approach that combines essential features of Semantic Technologies, Business Intelligence and Visual Analytics. It aims to |
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dicode - Mastering Data-Intensive Collaboration and Decision Making Exploiting a cloud infrastructure to augment collaboration and decision making in data-intensive and cognitively-complex settings The goal of the Dicode project is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, it will exploit and build on the most prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large, and rapidly evolving sources. The foreseen solution can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities. Services to be developed are: (i) scalable data mining services (including services for text mining and opinion mining), (ii) collaboration support services, and (iii) decision making support services. The achievement of the Dicode project’s goal will be validated through three use cases addressing clearly established problems. These concern: (i) scientific collaboration supported by integrated large-scale knowledge discovery in clinico-genomic research, (ii) delivering pertinent information from heterogeneous data to communities of doctors and patients in medical treatment decision making, and (iii) capturing tractable, commercially valuable high-level information from unstructured Web 2.0 data for opinion mining. |
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Digital.me - Integrated digital.me Userware for the Intelligent, Intuitive and Trust-Enhancing Management of the User's Personal Information Sphere in Digital and Social Environments Integrating data in personal and business sphere by a single, user-controlled point of access The use and disclosure of personal information for private and business life is a major trend in information society. Advantages like enhancing social contacts, personalising services and products compromise with notable privacy risks arising from the user’s loss of control over their personal data and digital footprints. Large amounts of scattered personal data lead to information overload, disorientation and loss of efficiency. |
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e-LICO - e-Laboratory for Interdisciplinary Collaborative Research in Data Mining and Data-Intensive Sciences Data mining support to end users e-LICO is meant to link two communities: data miners in quest of data to feed their sophisticated tools and domain scientists who must confront massive data. The project aims at developing efficient technologies for intelligent knowledge extraction from globally growing loads of images, text and other structured data and also at fostering the use of these data mining methodologies in data-intensive sciences. e-LICO will be demonstrated on a systems biology approach to disease studies, with focus on diseases of the kidney and urinary pathways. |
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FIRST - Large scale information extraction and integration infrastructure for supporting financial decision making How to focus on the relevant while making financial decisions in a world of information overkill? The FIRST project provides an information extraction, information integration and decision making infrastructure for information management in the financial domain. This area is extraordinarily faced with the challenges of extremely large, dynamic, and heterogeneous sources of information. The daily work and the business success of all decision makers in this industry depend on the availability of highly trustable, easily acquirable information. Within the international financial industry not only individual market participants are negatively affected by information overflow and information asymmetries, but also financial flows and financial stability within entire industries of the global economy. This may also have severe consequences as has been observed in the current financial and economic crisis. Information is amongst the most valuable assets in the financial industry and reducing information asymmetries and increasing transparency by providing a fast, real-time, automatic and more comprehensive information base can help preventing false decisions. |
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Fish4knowledge - Supporting humans in knowledge gathering and question answering w.r.t. marine and environmental monitoring through analysis of multiple video streams Studying marine biology by analysing automatically large amounts of underwater video feeds The study of marine ecosystems is vital for understanding environmental effects, such as climate change and the effects of pollution, but is extremely difficult because of the inaccessibility of data. Undersea video data is usable but is tedious to analyse (for both raw video analysis and abstraction over massive sets of observations), and is mainly done by hand or with hand-crafted computational tools. Fish4Knowledge will allow a major increase in the ability to analyse this data: 1) Video analysis will automatically extract information about the observed marine animals which is recorded in an observation database. 2) Interfaces will be designed to allow researchers to formulate and answer higher level questions over that database. |
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FOCUS K3D - FOster the Comprehension, adoption and USe of Knowledge intensive technologies for coding and sharing 3D media content in consolidated and emerging application communities With the focus on the awareness of new ways of working with 3D models and objects FOCUS K3D will support 3D user communities, and help them in the adoption of best-practices for the integrated use of semantics in 3D content modelling and processing. The coordination action will promote a critical mass of interdisciplinary activities to encourage different communities to learn from each other while contributing valuable skills to the problems of 3D content and knowledge capture, interpretation and sharing. It will also coordinate actions devoted to the dissemination of available research solutions to a wide community of users. FOCUS K3D has identified a number of applications that are both consolidated in the massive use of 3D digital resources (like Medicine and Bioinformatics or Product Modelling) and emerging (like Gaming or Archaeology). |
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i3DPost - intelligent 3D content extraction and manipulation for film and games High quality 3D content i3DPost will develop new methods and intelligent technologies for the extraction of structured 3D content models from video, at a level of quality suitable for use in digital cinema and interactive games. The research will enable the increasingly automatic manipulation and re-use of characters, with changes of viewpoint and lighting. i3DPost will combine advances in 3D data capture, 3D motion estimation, post-production tools and media semantics. The result will be film quality 3D content in a structured form, with semantic tagging, which can be manipulated in a graphic production pipeline and reused across different media platforms. |
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IKS - Interactive Knowledge Stack for small to medium CMS/KMS providers Moving hundreds of SMEs towards reaping benefits from the Semantic Web IKS creates a technology platform for semantically enabled content and knowledge management, targeted at small to medium CMS technology providers. The objective is to provide an easy-to-use knowledge and content management framework which raises the semantic capability of European software houses that are active in developing intelligent content solutions for customers. The first and most prominent research issue for IKS is the question: 'What needs to be programmed so that end users can directly interact with knowledge?' |
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iMP - Intelligent Metadata-driven Processing and distribution of audiovisual media Virtual Film Factory iMP will create architecture, workflow, and applications for intelligent metadata-driven processing and distribution of digital movies and entertainment. The goal is to enable a 'Virtual Film Factory' in which creative professionals can work together to create and customise programmes. The project intends to radically extend the use of metadata, linking it to semantic technologies to support and enhance the creative processes, to unify the treatment of sound and image, and remove the barriers between postproduction, customisation, formatting and distribution. iMP will reduce cost for distribution, and provide audience with media tailored to their needs. |
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INSEMTIVES - Incentives for Semantics Bridging the gap between human and computational intelligence INSEMTIVES will develop process methodologies for the creation of semantic annotations for different types of Web resources, jointly exploiting human intelligence, community effects and automatic machine processing. The project will enhance semantic content authoring in several areas related to semantic technologies, ranging from ontology engineering, ontology learning and ontology population to the semantic annotation of media and Web services. Three case studies will apply and validate the developed technology in the sectors of telecommunications, online marketplaces, and computer animated virtual worlds. The INSEMTIVES Toolkit is envisioned to be deployable as Web and client-side applications and will target the broad Internet public. |
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iPROD - Integrated management of product heterogeneous data iProd aims to improve the efficiency and quality of the Product Development Process of innovative products by developing a flexible, service oriented, customer driven software frameworkData and knowledge management technologies are of strategic importance for industrial innovation, provided they are integrated in the company processes, in the organisational structure, and can be flexibly adapted to company evolution. In particular the Product Development Process (PDP) of manufacturing companies, requires the efficient management of huge amounts of data from different sources and their integration in the subprocesses that compose the product chain. The efficient use of information lifecycle, by the large adoption of virtual testing and by the inter-functional management of related data in the product management would become a strategic advantage for the innovation race. Present ICT solutions separately address parts of product development, but an integrated approach that includes data and services required for the whole Product Development Process does not yet exist. iProd will improve the efficiency and quality of the Product Development Process developing a flexible, service oriented, customer driven software framework that will be the backbone of computer systems associated with current and new development processes. |
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IRIS - Integrating Research in Interactive Storytelling Virtual Centre of Excellence IRIS aims at achieving breakthroughs in the understanding of Interactive Storytelling and the development of corresponding technologies. Expected progress is to bring basic Interactive Storytelling technologies to a level of maturity where they can be used by a broad range of stakeholders in new media, and make Interactive Narratives less dependent from any specific production process. The development of Interactive Storytelling technologies will impact on the implementation of New Media (interactive TV, Interactive films) as well as producing paradigm shifts in interactive entertainment. |
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JUMAS - Judicial Management by Digital Libraries Semantics An advanced audio and video knowledge management system JUMAS addresses the need to build an infrastructure able to optimise the information workflow in order to facilitate later analysis. New models and techniques for representing and automatically extracting the embedded semantics derived from multiple data sources will be developed. The most important goal of the JUMAS system is to collect, enrich and share multimedia documents annotated with embedded semantic minimising manual transcription activity. JUMAS is tailored at managing situations in which multiple cameras and audio sources are used to record assemblies in which people debates and event sequences need to be semantically reconstructed for future consultations. The prototype of JUMAS will be tested interworking with legacy systems, but the system can be viewed as able to support business processes and problem-solving in a variety of domains. |
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KHRESMOI - Knowledge Helper for Medical and Other Information Users KHRESMOI aims to develop a multi-lingual multi-modal search and access system for biomedical information and documents. This will be achieved by: Effective automated information extraction from Automated analysis and indexing for medical images in 2D (X-Rays), 3D (MRI, CT), and 4D (fMRI) Linking information extracted from unstructured or semi-structured biomedical texts and images to structured information in knowledge bases Support of cross-language search, including multilingual queries, and returning machine-translated pertinent excerpts Adaptive user interfaces to assist in formulating queries and display search results via ergonomic and interactive visualizations |
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KIWI - Knowledge in a Wiki The wiki way KIWI will develop an advanced knowledge management system based on a semantic wiki. The KIWI system will support collaborative knowledge creation and sharing, and use semantic descriptions and reasoning as a means to intelligently author, change and deliver content. The KIWI vision will describe how the 'convention over configuration' paradigm of wikis combined with semantic technologies can lead to flexible and problem-oriented knowledge management. The project will evaluate the system in two use cases in the area of software and project knowledge management, and the software will be published as OpenSource to ensure a broad uptake and sustainability of the project results. |
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KYOTO - Knowledge Yielding Ontologies for Transition-based Organization A collaborative tool for environmental organisations KYOTO is a generic system offering knowledge transition from any domain of knowledge and information, across different target groups in society and across linguistic, cultural and geographic borders. It represents a new concept of information mining through knowledge mining. The project developments will be enabled through an ontology linked to wordnets for a variety of languages. Concept extraction and data mining is applied through a chain of semantic processors. KYOTO addresses the need for global and uniform transition of knowledge across different types of organisations. This is particularly critical in the environmental domain, but collaborative knowledge sharing in the medical, security or legal area can be set up quickly in Europe using the KYOTO mechanism. |
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LarKC - The Large Knowledge Collider: a platform for large scale integrated reasoning and Web-search Not just a single reasoning engine, but a generic platform and an open architecture LarKC will develop the Large Knowledge Collider, an open-source pluggable distributed infrastructure for real-time incomplete reasoning and search, exploiting techniques and heuristics from areas as diverse as databases, machine learning, cognitive science and Semantic Web. The platform will fulfil needs in sectors that are dependent on massive heterogeneous information sources such as telecommunication services, bio-medical research, and drug-discovery. LarKC is designed to harness the efforts of various research communities so as to deliver the paradigm shift required for reasoning at Web scale. |
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LATC - The LOD Around-The-Clock The LOD arround-The-Clock Support Action aims to help institutions and individuals in publishing and consuming quality Linked Data on the Web. Progress in the areas of large-scale data processing, data integration and information quality assessment increasingly depends on the availability of large amounts of real-world data. |
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LOD2 - Creating Knowledge out of Interlinked Data Research and development of novel, innovative Sematic Data Web technologies Expansion and integration of openly accessible and interlinked data on the web Adoption and implementation of Linked Data for media, enterprise and government LOD2 will integrate and syndicate linked data with large-scale, existing applications and showcase the benefits in the three application scenarios. The resulting tools, methods and data sets have the potential to change the Web as we know it today. |
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NoTube - Networks and Ontologies for the Transformation and Unification of Broadcasting and the Internet Putting the TV viewer back in the driver's seat NoTube will focus on TV content as a medium for personalised interaction between people based on a service architecture that cater for a variety of content metadata, delivery channels and rendering devices. The project will take a user-centric approach to investigate fundamental aspects of consumer' content-customisation needs, interaction requirements and entertainment wishes. The three use cases (personalised semantic news; personalised TV guide with adaptive advertising; Internet TV in the Social Web) address different dimensions of personalised TV-content interaction, including individual viewers and communities of viewers as well as multi-lingual and multi-modal interaction. |
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OKKAM - Enabling the Web of Entities. A scalable and sustainable solution for systematic and global identifier reuse in decentralised information environments Entity identifiers should not be multiplied beyond necessity OKKAM will deliver a secure and privacy aware open source infrastructure to manage entity references. Just as the WWW enables a global decentralised network of documents, connected by hyperlinks, OKKAM will provide a global digital space for publishing and managing information about entities, where every entity is uniquely identified, entities can be reused across digital resources and links between entities can be explicitly specified and exploited in a variety of scenarios. OKKAMs repository of global identifiers is designed to support forms of information integration that are currently simply impossible. The entity-oriented approach to content and knowledge management will be validated in relevant applications in industries like scientific publishing, news and product support. |
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ONTORULE - Ontologies meet business rules Enabling the right people to interact in their own way with the right part of their business application ONTORULE aims to lift the knowledge relevant to business rules in an organisation from the IT level to the business level, allow management of this knowledge by the business professional, and make this knowledge available to the software applications in the organisation. The ONTORULE technology is validated and showcased using two industrial case studies (automotive and steel industry). The results of the project will not only improve the awareness and increase the use of semantic Web technologies in the automotive industry and break new ground in a traditional industry sector, but will be applied world-wide and in many different domains. |
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Planet Data - Large-scale Data Management The Planet Data project aims to establish an interdisciplinary, sustainable European community of researchers, helping organizations to expose their data on the Web in a useful way. PlanetData will push forward the state-of-the-art in large-scale data management and its application to the creation of useful, open data sets. This is motivated by the increasing reliance of business on large public data; the uptake of open data principles in many vertical sectors; and the need of research communities to make sense out of petabytes of |
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plugIT - Business and IT Alignment using a Model-Based Plug-in Framework Plug your Business into IT PlugIT puts the business and IT-expert in the centre and helps them to more productively expose, use and interact with the business processes of their customers. The project will develop an 'IT socket' that will realise the vision of businesses 'plugging-in' to IT. This concept will play the role of conceptual middleware for bridging the gap between business-specific knowledge and cross-domain IT governance. The key challenge is to build a Next Generation Modelling Framework that considers existing standards, tools and frameworks and establishes a formal integration and transformation among them to realise the 'IT-socket'. |
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PROMISE - Participative Research labOratory for Multimedia and Multilingual Information System Evaluation Advancing the Evaluation and Benchmarking of Multimedia and Multilingual Information systems Measuring is a key to scientific progress. This is particularly true for research concerning complex systems, whether natural or human-built. Multilingual and multimedia information systems are increasingly complex: they need to satisfy diverse user needs and support challenging tasks. Their development calls for proper evaluation methodologies to ensure that they meet the expected user requirements and provide the desired effectiveness. |
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PRONTO - Event Recognition for Intelligent Resource Management Decision support that results in saving time in dynamic and noisy situations PRONTO will offer real-time, knowledge-led support for decision-makers in sectors characterised by large volumes of multi-source, multi-format data. The project introduces a highly synergetic approach to intelligent resource management by combining the research areas of information extraction from sensor data, information extraction from audio and text, and event recognition. This approach is applicable to a wide range of domains, where resource management is needed, and the PRONTO technology will be tested in two such domains: emergency rescue operations and city transport management. |
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PuppyIR - An Open Source Environment to construct Information Services for Children An opportunity for children to fully and safely exploit the power of the Internet PuppyIR aims to facilitate the creation of child-centric information access, based on the understanding of the behaviour and needs of children. An open source framework will be created in which advanced functionalities can be developed, and then deployed to create information services that are tailored towards the unique information needs of children and their intuitive style of interaction. The project will also contribute to the evaluation of children's search systems by the development of child-centered evaluation methodologies and datasets for evaluation. PuppyIR will be demonstrated through systems constructed in collaboration with a public library and a children's hospital. |
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RENDER - Reflecting Knowledge Diversity RENDER engages with the World Wide Web and its amazing |
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ROBUST - Risk and Opportunity management of huge-scale BUSiness communiTy cooperation Online communities generate major economic value and form pivotal parts of corporate expertise management, marketing, product support, CRM, product |
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Service-Finder - Web Service Discovery at Web Scale Web Services Search Engine Service-Finder will develop a platform for service discovery in which Web Services are embedded in a Web 2.0 environment. The project addresses the problem of utilising the Web Service technology for a wider audience by realising a comprehensive framework for Discovery. The approach is to develop novel means of obtaining the underlying semantic models for discovery, by analysing available Web content, leverage direct and indirect user feedback on the extracted data and exploiting context information. The result will be a Search Engine that enables users to find up-to-date information on available Web Services, similarly to current search engines for content pages. |
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SMARTMUSEUM - Cultural Heritage Knowledge Exchange Platform Full benefit of the multi-source digitalised cultural information SMARTMUSEUM will establish a platform for enhanced experience resulting from interaction between visitors and cultural heritage objects. The platform incorporates secure adaptive profiling, on-site local distributed knowledge and global digital cultural information access. Developments will also include semantic web services for cultural heritage related knowledge search and the software for delivering the cultural heritage knowledge exchange. The future smart museum IT infrastructure and services will increase the interaction between multilingual European citizens and cultural heritage objects. |
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SmartProducts - Proactive Knowledge for Smart Products A new paradigm for the interaction of people and products SmartProducts focus on one special type of content, embedded in or seamlessly linked with concrete physical objects or products: proactive knowledge. Proactive knowledge has to be self- and context-aware, since it will actively guide a user in the interaction with the product. The project will develop the foundation for smart products that are able to communicate and co-operate with humans, other products and the environment. This is closely coupled with all kinds of product-related knowledge: starting from knowledge from product design, through knowledge gathered during manufacturing and use, up to knowledge about how to use the product and its functionalities. The outcome of SmartProducts will have impact on the manufacturing domain, primarily targeting the consumer products, automotive and aerospace industries. |
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SmartVortex - Scalable Semantic Product Data stream Management for Collaboration and decision Making in Engineering Innovation through an intelligent analysis of massive data streams SMART VORTEX Project aims at providing a technological infrastructure and interoperable methods, tools, and services that will support large-scale industrial innovation and collaborative engineering projects; making possible that information management will underpin an intelligent analysis of massive data streams and growth of business value and capabilities. |
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SYNC3 - Synergetic Content Creation and Communication Methods for connecting users to other users and news content SYNC3 will provide an intelligent framework for making more accessible the vast quantity of user comments on news issues. The project will structure the part of blogsphere that refers to running news stories, rendering it accessible, manageable and re-usable. The immediate target of SYNC3 is the news industry and social networks, but domains like commerce, tourism, e-science and business intelligence are likely to benefit from the resulting technology. |
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TELEIOS - Virtual Observatory Infrastructure for Earth Observation Data Building a Virtual Observatory: a powerful information system for managing very large amounts of satellite earth observation data. Earth observation data has increased considerably over the last decades as satellite sensors collect and transmit back to Earth many gigabytes of data per day. The aim of project TELEIOS is to increase the usability of the terabytes of satellite images lying dormant in archives by automating the relevant data management, integration and knowledge discovery tasks. The main innovation of project TELEIOS is the development of a Virtual Observatory infrastructure that goes beyond the current state of the art Earth Observation portals and Image Information Mining systems. |
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TRIDEC - ACollaborative, Complex and Critical Decision-Support in Evolving Crises TRIDEC focuses on new technologies for real-time intelligent information management in collaborative, complex critical decision processes in earth management. Key challenge is the construction of a communication infrastructure of interoperable services through which intelligent management of dynamically increasing volumes and dimensionality of information and data is efficiently supported; where groups of decision makers collaborate and respond quickly in a decision-support environment. The research and development objectives include the design and implementation of a robust and scalable service infrastructure supporting the integration and utilisation of existing resources with accelerated generation of large volume of data. These include sensor systems, geo-information repositories, simulation- and data-fusion-tools. A knowledge-based service framework is deployed for context information and intelligent information management with flexible orchestration of system resources. An adaptive framework for collaborative decision making is enabled with new functions for the support of complex business processes. TRIDEC will be demonstrated within two scenarios. Both involve intelligent management of large volumes of data for critical decision-support. One concerns a large group of experts working collaboratively in crisis centres and government agencies using sensor networks. Their goal is to make critical decisions and save lives, infrastructural and industrial facilities in evolving tsunami crises. The other concerns a large group of consulting engineers and financial analysts from energy companies working collaboratively in sub-surface drilling operations. Their common objective is to monitor drilling operations in real-time using sensor networks, optimising drilling processes and critically detecting unusual trends of drilling systems functions. This prevents operational delays, financial losses, and environmental accidents and assures staff safety in drilling rigs. |
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VALUE-IT - Adding Value to RTD: Accelerating Take-up of Semantic Technologies for the Enterprise Dynamic links between research and business environments VALUE-IT will address the need to improve the European performance in producing socio-economically relevant RTD results, and to accelerate innovation. The support action will cooperate with and provide focused support to STE applied researchers and related industry stakeholders in order to add value to research endeavours. By implementing a Support Mechanism consisting of interlinked activities, such as business demand driven and ST innovation roadmapping, 'matchmaking' and awareness raising support, VALUE-IT will help to move semantic technologies to the mainstream market. |
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WeKnowIt - Emerging, Collective Intelligence for personal, organisational and social use Novel techniques for generatinag different layers of intelligence WeKnowIt aims to develop techniques for exploiting multiple layers of intelligence from user-contributed content, which together constitute Collective Intelligence. The project will provide technology able to support a paradigm shift, establishing a foundation for a new generation of services and tools supporting communities of users. The approach is built around different Intelligence Layers (Personal, Media, Mass, Social and Organisational) which address various aspects of user contributed and consumed content. The emphasis will be on integration and bridging (e.g. social and content dimensions) and the mobile and organisational business aspects. WeKnowIt will demonstrate the wide applicability of its achievements through the elaboration on two distinct case studies: an Emergency response and a Consumers Social Group case study. |
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