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Expert System (EXSY.MI), le leader des technologies d'analyse cognitive pour la gestion des contenus non structurés, annonce aujourd'hui avoir été sélectionné par le magazine KMWorld pour rejoindre son palmarès des '100 entreprises qui comptent dans l'industrie de la gestion des connaissances'. Le Top 100 KMWorld a été compilé par un jury composé d'analystes marché, d'experts en technologies de gestion des connaissances, de chercheurs, de fournisseurs de solutions et d'utilisateurs. Le classement identifie les meilleures solutions logicielles permettant d'améliorer la capacité des entreprises à accéder et analyser la connaissance stratégique. « La gestion des connaissances couvre un vaste panel de solutions aux fonctionnalités éprouvées ou futuristes. Les éditeurs désignés dans le classement KMWorld 2017 des 100 entreprises qui comptent dans l'industrie de la gestion des connaissances présentent un large éventail de capacités, et partagent des caractéristiques communes comme l'innovation, l'ingéniosité, l'utilité et le dynamisme », déclare Sandra Haimila, rédacteur en chef du magazine KMWorld. « De plus, les entreprises qui figurent dans cette liste conçoivent des solutions qui aident leurs clients à transformer les quantités énormes de données en connaissance exploitable sur laquelle ils peuvent s'appuyer pour améliorer la collaboration, fonder leurs analyses et atteindre leurs objectifs. » Les organisations présentes dans les secteurs de la banque-assurance, de l'édition-média, des sciences de la vie, de l'énergie et de l'industrie utilisent les solutions de gestion de connaissance d'Expert System pour rendre leur connaissance plus accessible et exploitable. La technologie Cogito adopte une approche quasi-humaine fondée sur la technologie sémantique et l'analyse du langage naturel, permettant aux organisations d'utiliser de manière plus efficace leur documentation métier. En gérant les contenus avec une granularité et une précision d'une extrême finesse, Cogito améliore la catégorisation automatique, l'étiquetage, et l'enrichissement des métadonnées, le développement de taxonomies, les analyses et l'extraction d'entités. Au-delà de l'optimisation des résultats de recherche, Expert System automatise les processus consommateurs de connaissance métier supportant ainsi les activités stratégiques de l'entreprise telles que le support client, la gestion des risques opérationnels, la gestion de la conformité, l'analyse de l'information… « L'informatique atteint aujourd'hui un point d'inflexion. Avec un rythme d'adoption accéléré, la technologie cognitive permet aux entreprises de devenir plus performantes en automatisant leurs processus métiers de traitement de l'information pour convertir un paysage riche en information en un vivier de données exploitables », déclare Claudio Palmolungo, Vice-Président Exécutif, Expert System. « Nous sommes honorés d'être à nouveau reconnus cette année par KMWorld comme l'un des principaux contributeurs à cette tendance. » KMWorld (http://www.kmworld.com) est le leader de l'information spécialisée dans le marché des systèmes de gestion des connaissances. KMWorld couvre l'actualité du domaine de la gestion de contenus, de documents et de la connaissance et partage avec ses 21 000 abonnés les meilleures solutions disponibles du marché, les nouveaux processus de gestion, ainsi que les cas probants d'implantation de solutions permettant d'améliorer la performance des entreprises. Le magazine KMWorld est une division du groupe Information Today Inc. (http://www.infotoday.com ) Expert System est un leader du marché des solutions d'informatique cognitive et de Text Analytics qui s'appuie sur Cogito, sa technologie sémantique multilingue d'analyse des informations non structurées. Conçu à partir d'algorithmes propriétaires d'intelligence artificielle, Cogito extrait la connaissance exploitable issue d'informations internes et externes et automatise les processus intensifs de traitement de l'information. Fortes d'actifs informationnels valorisés, de processus accélérés et d'une expérience utilisateur enrichie, les organisations bénéficient rapidement de retours sur investissement concrets. De nombreuses organisations issues de secteurs d'activités variés (banque-assurance, sciences de la vie, énergie, édition, défense) font confiance à Expert System dans le monde entier : AFP, APEC, Crédit Agricole, EDF, Europol, ING Direct, Inserm, Intesa Sanpaolo, Les Echos, Ministère de l'Intérieur, Sanofi, Shell, Société Générale, Swiss Re, Total, US Department of Justice, Volkswagen, Wolters Kluwer, etc.


News Article | February 16, 2017
Site: www.prweb.com

Teledyne LeCroy, Inc. the worldwide leader in Bluetooth® protocol analysis and testing services is pleased to announce development of a Bluetooth Conformance Tester for verifying conformance of Bluetooth low energy link layer and HCI implementations. The Teledyne Bluetooth Conformance Tester dramatically simplifies the testing and reporting of Bluetooth low energy implementations attempting to conform to the Bluetooth 4.1, 4.2, and 5 specifications published by the Bluetooth Special Interest Group (Bluetooth SIG). The Teledyne Bluetooth Conformance Tester is used in conjunction with the Sodera Wideband Bluetooth Protocol Analyzer to test an implementation under test’s (IUT) conformance with the Bluetooth low energy specification. IUTs are tested using conformance test cases published by the Bluetooth SIG. For simplicity, test plans created using the Bluetooth SIG test plan generator can be directly imported into the Teledyne Bluetooth Conformance Tester. Conveniently, the Frontline protocol analysis software runs at the same time as the conformance tester and provides comprehensive packet analysis. In addition to errors, warnings and events, by adding the Bluetooth Protocol Expert System software module, specific references to the Bluetooth specification and even solutions are made available while running the Bluetooth Conformance Tester. “The Teledyne Bluetooth Conformance Tester significantly reduces the conformance testing lifecycle,” explains David Bean, General Manager Teledyne LeCroy. “Not only does it streamline the conformance testing process, it can provide detailed solutions pointing to how to fix the issues that will inevitably be discovered when used with the Teledyne Bluetooth Protocol Expert System software module.” About Teledyne LeCroy Teledyne LeCroy is a leading manufacturer of advanced oscilloscopes, protocol analyzers, and other test instruments that verify performance, validate compliance, and debug complex electronic systems quickly and thoroughly. Since its founding in 1964, the Company has focused on incorporating powerful tools into innovative products that enhance "Time-to-Insight." Faster time to insight enables users to rapidly find and fix defects in complex electronic systems, dramatically improving time-to-market for a wide variety of applications and end markets. Teledyne LeCroy is based in Chestnut Ridge, N.Y. For more information, visit Teledyne LeCroy's website at teledynelecroy.com.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: FCT-06-2015 | Award Amount: 6.20M | Year: 2016

Money underpins all terrorist activities (without money propaganda, training, recruitment, and support are less effective or null). The disruption of terrorist financing activity is a key element in any fight against terrorism. DANTE will deliver effective, efficient and automated data mining, analytics solutions and an integrated system to detect, retrieve, and analyse huge amounts of heterogeneous and complex multimedia and multi-language (in five languages) terrorist-related contents from both the Surface and the Deep Web, including the Dark Nets. The ultimate goal is to discover (by connecting the dots), analyse and monitor potential terrorist-related activities and people, with focus on online fund raising activities, but also considering propaganda, training and disinformation. The challenging results of DANTE are achievable by exploiting, improving and integrating several existing data mining and analysis tools (mostly provided and owned by the partners; some already with high TRL). These tools and services will be further evolved and enhanced to be put at the service of the requirements provided by LEA partners (Guardia Civil, Policia Judiciaria, Home Office, Carabinieri). Thus, starting from lab and pre-prototype tools and methods, a market ready product with higher TRL will be the major outcome of DANTE. The presence of end user partners in the consortium will allow the validation/optimisation of the solution and boost of its adoption in their operational circumstances. The DANTE system will be validated and demonstrated in three pilots under the direct responsibility of the involved LEAs in their operational environments with the aim of detecting, analysing and monitoring terrorist-related contents for (i) propaganda (including recruitment, incitement, radicalization and disinformation), (ii) training and (iii) fund raising. DANTE surpasses the needs of the call for ensuring TRL6 of the projects results, by including components that will reach TRL7.


Grant
Agency: European Commission | 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.


Grant
Agency: European Commission | 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.


Grant
Agency: European Commission | 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.


PARIS, March 1, 2017 /PRNewswire/ -- Expert System (EXSY.MI), le leader des technologies d'analyse cognitive pour la gestion des contenus non structurés, annonce aujourd'hui avoir été sélectionné par le magazine KMWorld pour rejoindre son palmarès des '100 entreprises qui comptent...


ROCKVILLE, Md., March 1, 2017 /PRNewswire-USNewswire/ -- Expert System (EXSY.MI), the leader in cognitive technology for the effective management of unstructured information, was named one of the "100 Companies That Matter in Knowledge Management" by information provider KMWorld. The...


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.4.1 | Award Amount: 2.56M | Year: 2012

During the last years, there has been a high increase in the use of social networks and blogs so that citizens and consumers express now widely their opinions about different topics like politics, society and media, through these channels. However the development of systems for sentiment analysis of these opinions is hampered by difficulties to access and get the necessary language resources, for several reasons:(i) language resource owners fears for losing competitiveness;(ii) lack of agreed language resource schemas for sentiment analysis and not normalised magnitudes for measuring sentiment strength;(iii) high costs for adapting existing language resources for sentiment analysis;(iv) reduced visibility, accessibility and interoperability of the language resources.The project aims to develop a large shared data pool for language resources meant to be used by sentiment analysis systems, in order to bundle together scattered resources. One goal is to extend the WordNet Domain to sentiment analysis. The project will also specify a schema for sentiment analysis and normalise the metrics used for sentiment strength. The sharing of resources will be supported by a self-sustainable and profitable framework based on a community governance model, offering contributors the possibility of exploiting commercially the resources they provide.The project is structured around following steps:- definition of a common schema to ensure interoperability;- acquisition and clean up of language resources;- deployment of the resources and- validation through opinion mining demonstrators in the hotel and electronic domains.The targeted users are B2B including service developers, content providers, LR owners.The data pool will cover 6 languages: English Catalan German Italian Portuguese and Spanish.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: EeB-05-2015 | Award Amount: 4.75M | Year: 2015

OptEEmAL aims to develop an Optimised Energy Efficient Design Platform for refurbishment at district level, which will deliver an optimised, integrated and systemic design based on an Integrated Project Delivery (IPD) approach for building and district retrofitting projects, reducing time delivery and uncertainties, resulting in improved solutions when compared to business-as-usual practices. This main objective will be deployed through the following key objectives: 1. Development of a holistic and effective services platform for District Energy Efficient Retrofitting Design integrating interoperable modules and tools able to provide services for diagnosis, scenarios generation (according to stakeholders priorities), energy/ cost/ environment/ social evaluation, scenarios optimisation and data export. 2. Reinforcement of the presence of all involved stakeholders through an Integrated Project Delivery approach that will allow them being articulated through a collaborative and value-based process to deliver high-quality outcomes. 3. Development of an integrated ontology-based District Data Model that will contain key information in the fields of energy, comfort, environment (LCA), economic, social wellbeing and urban morphology. 4. Development of an Energy Conservation Measures catalogue (ECM) including technical, operational, maintenance and cost information giving valuable and consistent outputs to the design and district operation and maintenance stages. 5. Development of a bio-inspired optimization module based on Evolutionary computing with the aim to automate the decision making process to obtain the optimal design for an energy efficient retrofitting plan at district level. 6. Development of external connections of the OptEEmAL Platform to external entities (i.e. existing tools enabling the calculation of indicators to generate and optimise the retrofitting scenarios) 7. Strong disseminations, training, exploitation and market deployment strategies.

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