Papers by Mikhail Simonov
Connected Traveller, Social Web and Energy Efficiency in Mobility
Individual travelling is the most energy consuming day-by-day activity. Since fuel use is a type ... more Individual travelling is the most energy consuming day-by-day activity. Since fuel use is a type of consumer behaviour reflecting the interests to maximize some objective function, the human being activities seen in energy terms might be used to create the social aggregations or groups. Energy minimization in mobility conflicts with the objective function being maximized, however the virtual social networking by service-oriented architectures might improve the ecologic latter optimising the overall resources used by the community. Authors propose a method to build real life communities of connected travellers with the context awareness permitting to achieve some cooperative behaviour among the above-said virtual community networked.
New technologies have improved the ability of electronically storing, transferring and sharing me... more New technologies have improved the ability of electronically storing, transferring and sharing medical data; they also create serious questions about who has access to this cross-media content and how it is protected and distributed. Our aim is to support healthcare professionals in this changing environment, by providing a set of software tools that help reducing the time and associated costs to collect the information and knowledge required, and in making the best use of it for a more informed decision making (diagnoses, therapies, protocols). An appropriate and consistent level of information security consists of protecting information both in written, spoken, electronically recorded, or printed form from accidental or malicious modification, destruction, or disclosure by applying the strictest requirements for data security and privacy and complying with ethical standards. By Doc@Hand project we experiment the distribution of computer-based patient record, natural language queries and the contained knowledge in a secured way.
Ontology-driven Natural Language access to Legacy and Web services in the Insurance Domain
Ontologies can play an important role in industrial systems by enabling access to Legacy resource... more Ontologies can play an important role in industrial systems by enabling access to Legacy resources in a transparent and distributed way. Ontologies are developed in order to provide machine-processable semantics of information that is exchanged between different agents, either humans or software. The same mechanism can be used for Legacy service discovery, as well as for automated reasoning about the content of answers obtained from that service. We have created an information system offering a natural language, web- based access to distributed Legacy systems in the insurance domain. The application offers a communication channel that actualizes a new model of business interaction between an end user and a service provider, an insurance company in our case. Our system leverages on the knowledge management framework developed within the Eureka funded research project IKF, which has been adapted to the Insurance Domain by building a dedicated Domain Ontology named IES. The core component, named MetaDiscoverer, implements an ontology-based filtering of user queries in order to discover the intended Legacy service. Our application is able to perform information retrieval, knowledge extraction, automated reasoning, service location and dynamic invocation. The solution is RDF and XML-compliant, according to the recommendations given by the W3C Consortium.
A critical success factor in Insurance business is its ability to use information sources and con... more A critical success factor in Insurance business is its ability to use information sources and contained knowledge in the most effective way. Its profitability is obtained through the Technical management plus Financial management of the funds gathered on the market. The profitability of a given customer can be evaluated through its Life Time Value (LTV). We aim at applying evolutionary algorithms to the problem of forecasting the future LTV in the Insurance Business. The Framework developed within the Eureka cofunded research projects HPPC/SEA and IKF has been adapted to the Insurance Domain through a dedicated Genetic Engine. The solution uses RDF and XMLcompliant standard. The idea of using evolutionary algorithms to design fuzzy systems date from the beginning of the Nineties and a fair body of work has been carried out throughout the past decade. The approach we followed uses an evolutionary algorithm to evolve fuzzy classifiers of the data set.
Personalized healthcare is a challenge because supports the sustainability of care. Internet of T... more Personalized healthcare is a challenge because supports the sustainability of care. Internet of Things is a paradigm promising to manage the digital identity, so the personalization of care services. Different equipment is used in extra-wall healthcare and assistive services, requiring different sorts of objects to communicate and to make the ubiquitous system-of-system. Extended entities and mixed roles are becoming inter-operable. We present how adaptative care might exploit the broadband communication over powerline, with the link to the digital energy.
Information Processing in Smart Grids and Consumption Dynamics
This work suggests an effective approach for information management in smart power grids based on... more This work suggests an effective approach for information management in smart power grids based on the introduction of a suitable theory of digital energy. It shows a possible way to effectively manage energy dynamics in real life systems in real time. Power grids hold real time information flows already, but the control systems currently adopted use other information sources. We discuss the use of the information and semantic technologies in order to balance the loads in storage-less electric energy domain, and the changes brought by Future Internet and its entities.
Digital Enterprise is the free flow of real-time information to be exchanged between suppliers an... more Digital Enterprise is the free flow of real-time information to be exchanged between suppliers and consumers. RFID transforms the energy into data, and it is suggested as an enabling technology of the Internet of Things. Industries, Hospitals, Homes use the fieldbus systems to exchange data. Powerline communication extends the space enabling the wider interoperability and the remote management of energy-consuming appliances. We present a view linking real world processes with the digital ones using RFID and energy. We present an use case on near miss in healthcare.
Near-Miss Detection in Nursing: Rules and Semantics
Nursing science deals with human-to-human interaction delivering care service, showing several pe... more Nursing science deals with human-to-human interaction delivering care service, showing several peculiarities compared with other life science domains. Semantic technologies can be applied to clinical nursing, where the risk management forms a particular application class. Bone marrow transplantation is a specific sub-domain in which nursing process lacks the quality of service’s predictability at run time, requiring error detection before their happening and semantic technologies complementing best nursing strategies. The intelligent mix of technologies delivering proactive feedback to human actors in a natural way is a challenge. We investigate on possible risk control measures in the above-said nursing, suggesting a combination of ICT and knowledge technologies.
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Papers by Mikhail Simonov