Agency: Cordis | Branch: H2020 | Program: RIA | Phase: EINFRA-9-2015 | Award Amount: 6.65M | Year: 2015
The EVER-EST project will enhance Research and Capacity Building in the Earth Science (ES) domain, by providing a generic Service Oriented-based Architecture Virtual Research Environment (VRE) tailored to the needs of the ES community. The full range of both generic and ES data management specific services provided by EVER-EST will facilitate the dynamic approach to collaborative working and research. Scientist will be able to discover, access, process, share and interoperate heterogeneous data, algorithms, results and experiences within and across their communities, including those in domains beyond Earth Science. Data providers will be able to monitor users experience and collect feedback through the VRE, improving their capacity to adapt to end-user needs offering solutions to unlock scientist potentials and creativity. EVER-EST e-infrastructure will be validated by four Virtual Research Communities (VRC) covering different multidisciplinary working ES domains: ranging from Sea Monitoring, to Natural Hazards (floods, weather, wildfires), Land Monitoring and Risk Management (volcanoes and seismic). Each of these VRC will use the VRE according to its own specific requirements for data, software, best practices and community engagement. The VRE will leverage on the results of several FP7 projects which have produced state-of-the-art technologies for scientific data management and curation. Such capabilities will be enriched during the EVER-EST project using the output of a second group of FP7 initiatives providing models, techniques and tools for the preservation of scientific methods and their implementation in computational forms such as scientific workflows. EVER-EST will implement solutions for data publication, citation and trust. EVER-EST will provide the means to climb up existing peaks and obstacles to information sharing in Earth Science allowing research teams to collaboratively collect, manipulate and share resources, allowing creation of new knowledge.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2007.4.2 | Award Amount: 7.36M | Year: 2008
The overall goal of the OKKAM project is to enable the Web of Entities, a global digital space for publishing and managing information about entities , where every entity is uniquely identified, and links between entities can be explicitly specified and exploited in a variety of scenarios. Compared to the WWW, the main differences are that the domain of entities is extended beyond the realm of digital resources to include objects in other realms like products, organizations, associations, countries, events, publications, hotels or people; and that links between entities are extended beyond hyperlinks to include virtually any type of relation.\nThe WWW has clearly demonstrated the socio-economical potential of enabling a global decentralized network of documents, connected by hyperlinks, and services built on top of this infrastructure. In a short period of time, we have witnessed how the WWW has had a remarkable impact on our personal, social and professional lives. We believe that the Web of Entities has the potential to increase this impact, and to foster a whole new family of applications and services. However, to make this happen, the Web of Entities must trigger (as the WWW did) what economists call network externality effect , and this requires at least three pillars to be in place: (1) a suitable infrastructure which can support the open and sustainable growth of the Web of Entities; (2) a critical mass of new entity-aware content and data accessible to a very large number of users in a relatively short time; and (3) a collection of exemplary and high impact applications, which can prove to the key players in ICT that investing on the Web of Entities is worthwhile.\nThe OKKAM project presents a strategy and an effective work plan to build the three pillars of this Web of Entities, not only from a technical point of view, but also from a social, organizational and business-oriented perspective.
Agency: Cordis | Branch: FP7 | Program: CP | Phase: ICT-2011.4.1 | Award Amount: 2.46M | Year: 2012
Speech services are becoming an increasingly important market segment for Europes SMEs. A major roadblock in producing low-cost high-quality spoken dialogue system (SDS) applications is the lack of linguistic resources that will enable the porting of SDS to new domains or languages. Currently, porting spoken dialogue systems to new domains is time-consuming, requires expertise in language engineering and iterative tuning. Although by now mature technologies exist that can facilitate SDS porting to new domains, e.g., ontology enrichment, linking text data to ontologies, automatic grammar induction, these technologies have not penetrated through to commercial systems yet. In PortDial, we bring together European SMEs that are developing state-of-the-art spoken dialogue systems and the handcrafted semantic components underlying such systems with research institutions at the forefront of progress in the automatic creation or enrichment of semantic language resources. Together with the commercial partners, we have identified a list of mature technologies that can help automate (or machine-assist) the process for the creation of SDS concepts, services and grammars. PortDial will result in 1) a commercial platform for quick prototyping of interactive spoken dialogue applications to new domains and languages, 2) the corresponding multilingual collections of concepts-services-grammars for specific application domains (marketed separately), and 3) a multilingual linked-data ontological corpus that can be freely used for spoken dialogue research and prototyping for non-commercial purposes. The resulting platform will reduce the effort for prototyping new application domains by up to 30%, and up to 50% for porting the application to new languages. The SDS linguistic resources will lower the barrier to entry for European SMEs to SDS technologies, allowing for inexpensive proof-of-concept demonstrator development, opening up new markets and application domains.
Agency: Cordis | Branch: H2020 | Program: IA | Phase: ICT-15-2014 | Award Amount: 3.53M | Year: 2015
MixedEmotions will develop innovative multilingual multi-modal Big Data analytics applications that will analyze a more complete emotional profile of user behavior using data from mixed input channels: multilingual text data sources, A/V signal input (multilingual speech, audio, video), social media (social network, comments), and structured data. Commercial applications (implemented as pilot projects) will be in Social TV, Brand Reputation Management and Call Centre Operations. Making sense of accumulated user interaction from different data sources, modalities and languages is challenging and has not yet been explored in fullness in an industrial context. Commercial solutions exist but do not address the multilingual aspect in a robust and large-scale setting and do not scale up to huge data volumes that need to be processed, or the integration of emotion analysis observations across data sources and/or modalities on a meaningful level. MixedEmotions will implement an integrated Big Linked Data platform for emotion analysis across heterogeneous data sources, different languages and modalities, building on existing state of the art tools, services and approaches that will enable the tracking of emotional aspects of user interaction and feedback on an entity level. The MixedEmotions platform will provide an integrated solution for: large-scale emotion analysis and fusion on heterogeneous, multilingual, text, speech, video and social media data streams, leveraging open access and proprietary data sources, and exploiting social context by leveraging social network graphs; semantic-level emotion information aggregation and integration through robust extraction of social semantic knowledge graphs for emotion analysis along multidimensional clusters.
News Article | April 21, 2015
– The 24th edition of 101 Hack , sponsored by Cogito API, will focus on speed, accuracy and efficiency Expert System, the leader in semantic technology for the effective management of unstructured information, today announces its sponsorship of HackerRank’s 101 Hack contest, to be held online on April 29, 2015. HackerRank is a leading aggregation platform that challenges developers to test and improve their coding skills, and helps companies engage and recruit top IT talent. For Expert System, the sponsorship represents an important opportunity to connect with some of the world’s top developers, and promotes the use of its Cogito API in creating new applications with advanced semantic functionalities. “Creativity and innovation are the founding principles of our business,” said Marco Varone, President and CTO, Expert System. “We are thrilled to support our first hackathon with Cogito API. It’s a wonderful opportunity for experimentation and interaction with the developer community, and it will stimulate new ideas and incentives for increasing the potential of our Cogito semantic technology.” Through Cogito API (the company’s OEM division based in Palo Alto, California), Expert System is targeting independent developers and startups, as well as systems integrators and IT professionals. Cogito API is available in CORE, both as a single API or in market-specific API bundles such as Fashion, Advertising, Intelligence, Media & Publishing and the soon-to-be-released bundles for Finance, Pharmaceutical and Oil & Gas.