Founded in 1969, Software AG is an enterprise software company with over 10,000 enterprise customers in over 70 countries. The company is the second largest software vendor in Germany, the fourth in Europe and among the top 25 globally. Software AG is traded on the Frankfurt Stock Exchange’s TecDAX under the symbol “SOW”. Wikipedia.
Software AG | Date: 2016-09-06
Certain example embodiments relate to large venue surveillance and reaction systems and/or methods that take into account both subjective emotional attributes of persons having relations to the large venues, and objective measures such as, for example, actual or expected wait times, current staffing levels, numbers of customers to be serviced, etc. Pre-programmed scenarios are run in real-time as events stream in over one or more electronic interfaces, with each scenario being implemented as a logic sequence that takes into account at least an aspect of a representation of an inferred emotional state. The scenarios are run to (a) determine whether an incident might be occurring and/or might have occurred, and/or (b) dynamically determine a responsive action to be taken. A complex event processing engine may be used in this regard. The analysis may be used in certain example embodiments to help improve customer satisfaction at the large venue.
Software AG | Date: 2015-10-09
Techniques for mapping from one or more source information sets to one or more target information sets are provided. Mapping ontologies associate a first declarative expression with a first information set from which to read first information, and a second declarative expression with a second information set to which second information determined based upon the read first information is written. A mapping graph having a nodes arranged according to an execution flow for obtaining the one or more target information sets is generated, at least some of these nodes representing respective ones of the mapping ontologies. The one or more target information sets are generated, each including information determined from the one or more source information sets, by traversing the mapping graph according to the execution flow. Each of the first and second declarative expressions may be associated with a mapping resolver for accessing one or more information sets.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-06-2016 | Award Amount: 4.89M | Year: 2016
MELODIC will enable data-intensive applications to run within defined security, cost, and performance boundaries seamlessly on geographically distributed and federated cloud infrastructures. Serving the users needs and constraints, MELODIC will realise the potential of Cloud computing for big data and data-intensive applications by transparently taking advantage of distinct characteristics of available private and public clouds, dynamically optimise resource utilisation, consider data locality, conform to the users privacy needs and service requirements, and counter vendor lock-in. These benefits are achieved by integrating and extending the results and the open source platforms available from three major European Cloud projects with the Hadoop and Spark big data frameworks: The PaaSage platform will be used for intelligent and autonomic cross-cloud deployment and is extended with data aware modelling and deployment configuration reasoning; the CACTOS platform is extended with support for Hadoop and Spark in cross-Cloud application deployment and management; and the PaaSword platform will ensure unified data security and cross-Cloud privacy. MELODIC will integrate with the existing open source development teams for these platforms and the contributions will be released back to the used platforms as open source. The integrated MELODIC platform will be maintained and exploited by a professional software house, and tested in several demanding real world applications: scalable Customer Relationship Management, real-time optimised traffic routing, and fast and scalable processing of genomic data.
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.12M | Year: 2017
The manufacturing industry is entering a new era in which new ICT technologies and collaboration applications are integrated with traditional manufacturing practices and processes, which brings virtual organisations to factories, i.e. Manufacturing 2.0. Virtual factory to future manufacturing slows the flexible amalgamation of manufacturing resources in multiple organisations to create timely, demand driven product lines. The project vF Interoperation suppoRting buSiness innovaTion (FIRST) provides the new technology and methodology to describe manufacturing assets; to compose and integrate the existing services into collaborative virtual manufacturing processes; and to deal with evolution of changes. From the overarching objective to enhance manufacturing integration through the application of advanced IT solutions, the innovative project brings together an experienced researcher with expertise in the designing an interoperability framework for facilitating interoperability on data/information, services and process levels respectively. These outcomes lead to significant business innovations for virtual factories, made possible by an internationally recognised group expertise in (manufacturing) services/assets description languages, semantic services discover methods, and automated interoperability. The experienced researcher has an existing background in service oriented business process management; ontology based process model registration and management; and web service discovery and selection. She combines this with a perspective on application of those technologies. The FIRST project will take advantage of this complementary experience as well as the academic and industrial relationships in Europe and China respectively, taking advantage of the unique opportunity to address the concept from both perspectives.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-06-2016 | Award Amount: 4.26M | Year: 2017
PrEstoCloud project will make substantial research contributions in the cloud computing and real-time data intensive applications domains, in order to provide a dynamic, distributed, self-adaptive and proactively configurable architecture for processing Big Data streams. In particular, PrEstoCloud aims to combine real-time Big Data, mobile processing and cloud computing research in a unique way that entails proactiveness of cloud resources use and extension of the fog computing paradigm to the extreme edge of the network. The envisioned PrEstoCloud solution is driven by the microservices paradigm and has been structured across five different conceptual layers: i) Meta-management; ii) Control; iii) Cloud infrastructure; iv) Cloud/Edge communication and v) Devices, layers. This innovative solution will address the challenge of cloud-based self-adaptive real-time Big Data processing, including mobile stream processing and will be demonstrated and assessed in several challenging, complementary and commercially-promising pilots. There will be three PrEstoCloud pilots from the logistics, mobile journalism and security surveillance, application domains. The objective is to validate the PrEstoCloud solution, prove that it is domain agnostic and demonstrate its added-value for attracting early adopters, thus initialising the exploitation process early on.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: MG-6.2-2014 | Award Amount: 7.55M | Year: 2015
SYNCHRO-NET will demonstrate how a powerful and innovative SYNCHRO-modal supply chain eco-NET can catalyse the uptake of the slow steaming concept and synchro-modality, guaranteeing cost-effective robust solutions that de-stress the supply chain to reduce emissions and costs for logistics operations while simultaneously increasing reliability and service levels for logistics users. The core of the SYNCHRO-NET solution will be an integrated optimisation and simulation eco-net, incorporating: real-time synchro-modal logistics optimisation (e-Freight-enabled); slow steaming ship simulation & control systems; synchro-modal risk/benefit analysis statistical modelling; dynamic stakeholder impact assessment solution; and a synchro-operability communications and governance architecture. Perhaps the most important output of SYNCHRO-NET will be the demonstration that slow steaming, coupled with synchro-modal logistics optimisation delivers amazing benefits to all stakeholders in the supply chain: massive reduction in emissions for shipping and land-based transport due to modal shift to greener modes AND optimised planning processes leading to reduced empty kms for trucks and fewer wasted repositioning movements. This will lead to lower costs for ALL stakeholders shipping companies and logistics operators will benefit from massive reduction in fuel usage, faster turnaround times in ports & terminals and increased resource utilisation/efficiency. Customers and end users will have greater control of their supply chain, leading to more reliable replenishment activity and therefore reduced safety stocks and expensive warehousing. Authorities and governmental organisations will benefit from a smoother, more controlled flow of goods through busy terminals, and reduction of congestion on major roads, thus maximising the utilisation of current infrastructure and making the resourcing of vital activities such as import/export control, policing and border security less costly.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-15-2016-2017 | Award Amount: 18.70M | Year: 2017
Big Data will have a profound economic and societal impact in the mobility and logistics sector, which is one of the most-used industries in the world contributing to approximately 15% of GDP. Big Data is expected to lead to 500 billion USD in value worldwide in the form of time and fuel savings, and savings of 380 megatons CO2 in mobility and logistics. With freight transport activities projected to increase by 40% in 2030, transforming the current mobility and logistics processes to become significantly more efficient, will have a profound impact. A 10% efficiency improvement may lead to EU cost savings of 100 BEUR. Despite these promises, interestingly only 19 % of EU mobility and logistics companies employ Big Data solutions as part of value creation and business processes. The TransformingTransport project will demonstrate, in a realistic, measurable, and replicable way the transformations that Big Data will bring to the mobility and logistics market. To this end, TransformingTransport, validates the technical and economic viability of Big Data to reshape transport processes and services to significantly increase operational efficiency, deliver improved customer experience, and foster new business models. TransformingTransport will address seven pilot domains of major importance for the mobility and logistics sector in Europe: (1) Smart High-ways, (2) Sustainable Vehicle Fleets, (3) Proactive Rail Infrastructures, (4) Ports as Intelligent Logistics Hubs, (5) Efficient Air Transport, (6) Multi-modal Urban Mobility, (7) Dynamic Supply Chains. The TransformingTransport consortium combines knowledge and solutions of major European ICT and Big Data technology providers together with the competence and experience of key European industry players in the mobility and logistics domain.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FOF-11-2016 | Award Amount: 3.47M | Year: 2016
Industry 4.0 is the next developmental stage in the organisation of the manufacturing value chain. ICT-based systems will play a major role, mainly by creating a virtual copy of the physical world and facilitating decentralised structures through Cyber-Physical Systems (CPS). Over the IoT, CPS cooperate with each other and humans in real-time. Via the Internet-of-Services, internal and cross-organisational services are utilised by participants of the value chain. DISRUPT aims to spearhead the transition to the next-generation manufacturing by facilitating the vision of a Smart Factory. The new era of manufacturing asks for flexible factories that can be quickly reprogrammed to provide faster time-to-market responding to global consumer demand, address mass-customisation needs and bring life to innovative products. The traditional automation pyramid seems unable to accommodate this transformation. Our concept is to DISRUPT that pyramid by utilising the capabilities offered by modern ICT to facilitate (i) in-depth (self-)monitoring of machines and processes, (ii) decision support and decentralised (self-)adjustment of production, (iii) effective collaboration of the different IoT-connected machines with tools, services and actors (iv) seamless communication of information and decisions from and to the plant floor and (v) efficient interaction with value chain partners. Within DISRUPT, each element of production is controlled via the IoT by its virtual counterpart. The data collected is analysed to detect complex events that trigger automated actions. DISRUPT offers a set of decision support tools based on three core modules (modelling, simulation and optimisation) and a secure and flexible plug-n-play platform that will allow engineers from different disciplines to collaborate in developing services. It will be cloud-based to accommodate the anticipated high data volume and computational needs, while offering accessibility via any device anywhere in the world.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: ICT-06-2016 | Award Amount: 4.17M | Year: 2017
Unicorn aims to simplify the design, deployment and management of secure and elastic by design- multi-cloud services. This will be achieved by a) development and design libraries that will provide security enforcement mechanisms, data privacy restrictions, monitoring metric collection and resource management; b) enabling continuous orchestration and automatic optimization of portable and dynamic cloud services running on virtual instances or micro-execution containers for increased security, data protection privacy and vast resource (de)-allocation. Towards this end, and building upon this umbrella concept, the Unicorn vision can be considered two-fold: to enable software developers to design and develop secure and elastic applications and to increase the awareness of all stakeholders, in particular SMEs and Startups. Unicorn will reduce software release time and provide a powerful tool for SMEs to improve software design and continuous productivity enhancement. The innovation activities in the Unicorn project will be based upon existing solutions and developments to the largest possible extent, and build upon the S&T results of European RIA projects including CELAR, PaaSport, PaaSword and ARCADIA.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EUK-03-2016 | Award Amount: 1.50M | Year: 2016
Clouds and mobile applications have been two key drivers for innovation in the last decade, strengthening industry competitiveness and economic growth. The current technological and social landscape calls for a shift towards the introduction of a hybrid computing paradigm, following the rise and limitations of mobile applications. BASMATI aims at providing a complete ecosystem that integrates cloud federation with mobile devices, while addressing challenges related to resource heterogeneity, ultra-scalable provisioning, offloading, context- and situation identification, quality of service and security guarantees, targeting (crowds of) users accessing their data and applications across borders. BASMATI will provide an integrated brokerage platform targeting federated clouds with heterogeneous resources and supporting the efficient, cost-effective execution of mobile cloud applications in a transparent and ubiquitous manner. Runtime-adaptable federation patterns also considering business aspects, dynamic and runtime-optimized brokerage and offloading decisions will enable fully automated resource exploitation: cloud to cloud, device to federation and device to device. Modelling and prediction of applications and users in terms of mobility patterns, behavior and interactions will provide insight to the aforementioned decisions, while runtime reconfiguration of mobile services will foster the achievement of ultra-scalability. The envisioned hybrid infrastructure management will allow abstracting heterogeneous resources and enabling dynamic service networks based on evolving situations. BASMATI will be evaluated against three real-world use cases: Large Events management (including audio-streaming in dynamic and crowded scenarios), TripBuilding in dynamic environments and Virtual Mobile Desktop for highly nomadic users, which will be provided by BASMATI platform and validated during a 2018 international large event (Das Fest) counting 250.000 participants across a week.