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A framework for self-organisation of resources of a smart environment, service-oriented architecture, and a protocol for the resource self-organisation are described in the paper. The resources of the smart environment self-organise for... more
A framework for self-organisation of resources of a smart environment, service-oriented architecture, and a protocol for the resource self-organisation are described in the paper. The resources of the smart environment self-organise for the purpose of taking joint resource actions on assisting people involved in a situation that takes place in the environment. The resources are represented by means of Web-services. Due to such a representation the resource self-organisation is replaced with the self-organisation of the Web-services. Main research points are illustrated by examples from the emergency management domain.
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Tourist information support is very important due to the fact that a tourist has to make decisions in dynamic and unfamiliar environment. One of the popular types of tourist decision support is recommendations (of attractions to see,... more
Tourist information support is very important due to the fact that a tourist has to make decisions in dynamic and unfamiliar environment. One of the popular types of tourist decision support is recommendations (of attractions to see, events, transportation routes, etc.). However, each of the classical approaches for making recommendations relies heavily on the availability of particular information. This paper proposes a multi-model approach to recommendation systems design in the domain of tourist information support. Specifically, it proposes to construct a recommendation system as a composition of loosely coupled modules, implementing both personalized and non-personalized methods of recommendations and a coordination module responsible for adaptation of the whole system to the specific tourist and situation context. The paper also presents some results on practical evaluation of the proposed models and an integration of the developed recommendation system into a mobile tourist guide (TAIS).
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A pattern-based methodology for design of context-aware decision support systems is proposed. The methodology is based on knowledge fusion patterns for the knowledge fusion processes occurring at different stages of a context-aware... more
A pattern-based methodology for design of context-aware decision support systems is proposed. The methodology is based on knowledge fusion patterns for the knowledge fusion processes occurring at different stages of a context-aware decision support system. The methodology as it stands focuses on the context-aware stages of the system. For the knowledge fusion processes ongoing at these stages the patterns’ elements relevant to the methodology are specified. Usage of the patterns to propose system functionality depending on the user needs is demonstrated.
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A methodology for designing context-aware decision support systems based on typical knowledge integration models is proposed. These models describe the functional capabilities of the system at different stages of its usage. The models are... more
A methodology for designing context-aware decision support systems based on typical knowledge integration models is proposed. These models describe the functional capabilities of the system at different stages of its usage. The models are used to specify requirements for information and knowledge from the side of the context-aware system. The comparison of these requirements with the user requirements for the system functional capabilities and user restrictions allows us to obtain the functional capabilities that are available for a given user.
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In m-tourism applications, the proactive recommendations are especially actual for two major reasons: (1) the highly dynamic nature of the problem situation (the user continuously moves, the transport situation and weather conditions... more
In m-tourism applications, the proactive recommendations are especially actual for two major reasons: (1) the highly dynamic nature of the problem situation (the user continuously moves, the transport situation and weather conditions change); (2) limited possibilities of mobile devices for explicit information entry and checking large amounts of alternative solutions, but rich possibilities for tacit information entry via various sensors. The paper proposes an approach and research prototype based on the technologies of smart space and proactive recommendation systems. The architecture is based on the smart space technology. The system implementing the proposed approach helps the tourists to plan their attraction attending schedule based on the context information about the current situation in the region, its foreseen development, the tourist’s preferences and previous behavior, using their mobile devices.
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The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic... more
The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision ...
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Обосновываются причины выбора онтологии для моделирования интеллектуальных пространств. Приводится пример и подробно описывается онтология, разработанная для моделирования ситуаций в интеллектуальном зале
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Introduction. In the decision support domain, the practice of using information from user digital traces has not been widespread so far. Earlier, the authors of this paper developed a conceptual framework of intelligent decision support... more
Introduction. In the decision support domain, the practice of using information from user digital traces has not been widespread so far. Earlier, the authors of this paper developed a conceptual framework of intelligent decision support based on user digital life models that was aimed at recommending decisions using information from the user digital traces. The present research is aiming at the development of a scenario model that implements this framework. Purpose: the development of a scenario model of intelligent decision support based on user digital life models and an approach to grouping users with similar preferences and decision-making behaviours. Results: A scenario model of intelligent decision support based on user digital life models has been developed. The model is intended to recommend to the user decisions based on the knowledge about the user decision-maker type, decision support problem, and problem domain. The scenario model enables to process incompletely formulat...
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Knowledge sharing in flexible supply networks: a context-based approach ∗ by
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The paper addresses organization of a Web-based community in a smart space, members of which aim at joint fire response actions. A smart framework for integrating concepts of smart space, Web-services and Web-based communities was... more
The paper addresses organization of a Web-based community in a smart space, members of which aim at joint fire response actions. A smart framework for integrating concepts of smart space, Web-services and Web-based communities was developed. In the framework Web-services are proposed to represent the resources of the smart space and the members of the Web-based community. To coordinate Web-service interactions a service-oriented architecture was designed. An applicability of the smart framework was tested via a scenario-based organization of a Web-based community. Keywords—smart space; service-oriented architecture; Web-services; Web-based community; emergency response
In recent years mankind experienced several "megadisasters" such as hurricane Katrine and tsunami in Indian Ocean in 2004. They showed that conventional tiered response to disasters does not work well in this case. Megadisasters... more
In recent years mankind experienced several "megadisasters" such as hurricane Katrine and tsunami in Indian Ocean in 2004. They showed that conventional tiered response to disasters does not work well in this case. Megadisasters require application of new technologies including context-aware interoperability of participants, on-the-fly decision support assistance and other. The paper describes a context-driven decision making schema based on the above technologies that originates from decision support in supply chain management. Ontologies and contexts are used to provide for interoperability at the level of semantics and current situation analysis; open services enable interoperability at the technological level. On-the-fly service generation makes possible to operatively solve problems based on constraint satisfaction technology. The paper is due to research carried out as part of CRDF partner project #RUM2-1554-ST-05 with US ONR and US AFRL, grant #05 01 00151 of the Ru...
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Research Interests: Computer Science and Acm
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A research carried out in the framework of the knowledge logistics lies in the base of the chapter. As a result of the research an approach addressing the knowledge logistics problem was developed. The approach considers the problem as a... more
A research carried out in the framework of the knowledge logistics lies in the base of the chapter. As a result of the research an approach addressing the knowledge logistics problem was developed. The approach considers the problem as a problem of configuring a knowledge source network that is assumed to consist of distributed heterogeneous knowledge sources. An implementation of the approach was put into practice through its realization in the system “KSNet”. Distribution and heterogeneity of the knowledge sources determine a distributed and scalable character to the problem of the network configuring. Such nature of the problem causes for the system to have a multi-agent architecture. This chapter presents a prototype of the developed agent community implementation in the system “KSNet” and a constraint-based protocol designed for the agents’ negotiation. An application of the developed agent community to coalition-based operations support and the protocol are illustrated via case studies of a mobile hospital configuration as a task of health service logistics and automotive supply network configuration.
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ABSTRACT The chapter presents an approach to implementation of an intelligent service for decision support in healthcare logistics taking an advantage of the knowledge logistics idea. The approach is based on synergistic integration of... more
ABSTRACT The chapter presents an approach to implementation of an intelligent service for decision support in healthcare logistics taking an advantage of the knowledge logistics idea. The approach is based on synergistic integration of knowledge acquired from distributed ...
Research Interests: Business and IGI Global
The paper addresses the development of a hybrid technology for operational decision support in a pervasive environment. The technology encompasses the idea of implementing a decision support system as a set of Web-services. The... more
The paper addresses the development of a hybrid technology for operational decision support in a pervasive environment. The technology encompasses the idea of implementing a decision support system as a set of Web-services. The Web-services are intended to form an ad-hoc collaborative environment, whose members cooperate with an objective of serving the current needs according to the decision situation. The collaborative environment is made up of resources of a pervasive environment. The technology is focused on three types of resources to be organized: information, problem-solving, and acting, and is supported by a service-based architecture of the decision support system providing types of Web-services needed for this technology implementation. The hybrid technology integrates technologies of ontology management, context management, constraint satisfaction, Web-services, profiling, and intelligent agents. The technology application is illustrated by the decision support for dynami...
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The paper extends collective intelligence understanding to the problem-solving abilities of heterogeneous groups, consisting of human participants and software services. It describes a conceptual framework of a new computational... more
The paper extends collective intelligence understanding to the problem-solving abilities of heterogeneous groups, consisting of human participants and software services. It describes a conceptual framework of a new computational environment, supporting such heterogeneous teams, working on decision support problems. In particular, the paper discusses the most acute problems, related to such heterogeneous collective intelligence – interoperability and self-organization. To address interoperability issues, the environment re- lies on multi-aspect ontologies and smart space-based interaction. To provide the necessary degree of self-organization, a guided self-organization approach is proposed. The proposed human-machine collective intelligence environment can improve decision-making in many complex areas, requiring collective effort and dynamic adaptation to the changing situation.
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Collective intelligence is of a great potential to decision support because often collective decisions are thought more efficient than individual ones. The research views the human-machine collective intelligence as shared intelligence... more
Collective intelligence is of a great potential to decision support because often collective decisions are thought more efficient than individual ones. The research views the human-machine collective intelligence as shared intelligence that emerges from the collaboration between humans and software services, their joint efforts and consensus decisions. For multiple collaborators, it is very unlikely that they share a common view on the same domain or problem. Thus, due to the heterogeneous nature of the collaborators, one of the key requirements to enable such a collaboration is providing for semantic interoperability. The paper suggests using ontologies to support semantic interoperability and proposes the apparatus of multi-aspect ontologies thus enabling humans and intelligent software services to self-organize into a collaborative community for decision support. The major ideas behind the approach are demonstrated by an example from the smart city domain.
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Enterprises are complex systems comprising three fundamental components: a physical sub-system, a decision sub-system, and an information sub-system. Humans in the enterprises are not just resources but the first consumers and providers... more
Enterprises are complex systems comprising three fundamental components: a physical sub-system, a decision sub-system, and an information sub-system. Humans in the enterprises are not just resources but the first consumers and providers of data, information, and knowledge. The present research considers enterprise as a technical system embedding social component. Socio-cyber-physical systems naturally embody this idea. The research considers such systems as an enterprise component that combines the cyber aspects of computing and communications with the dynamics and physics of physical enterprise. The enterprise interoperability problem is treated as the problem of service interoperability in socio-cyber-physical systems at the service level and process level of an enterprise. The research proposes ontologies of enterprise and socio-cyber-physical system, a task-oriented service interoperability model, and a service communication mechanism.
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Digital technologies have become an integral part of all aspects of human life. Living digital style and interacting with various applications and Web sites, humans leave digital traces of their online activities. These traces organize... more
Digital technologies have become an integral part of all aspects of human life. Living digital style and interacting with various applications and Web sites, humans leave digital traces of their online activities. These traces organize human digital life. The paper introduces principles of intelligent decision support based on a model of user digital life. Such a model structures content of user digital life with relation to the problems the user have ever dealt with and the decisions made. The principles form the basis of a conceptual framework aiming at recommending decisions. Group patterns provide historical data to predict decisions. A group pattern represents a generalized model of digital life for a group of users with similar preferences and decision-making behaviours. An initial model of a decision maker ontology is presented that performs contextdependent classification of the users into decision maker types to provide context-aware recommendations.
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Decision making and knowledge intensive work requires information supply tailored to the need of the user in question. Context management is considered a key contribution to this objective. The paper investigates context definitions and... more
Decision making and knowledge intensive work requires information supply tailored to the need of the user in question. Context management is considered a key contribution to this objective. The paper investigates context definitions and representations from two different viewpoints: information demand analysis and decision support. Discussion and comparison of these viewpoints includes enterprise models as a source for information demand analysis, ontologies and object-oriented constraint networks as representation technique and correspondences between information demand context and context in decision support.
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The number of systems and applications where large groups of people are included into the information processing “loop” is growing. Common problem with this kind of systems is that each of them requires large number of contributors and... more
The number of systems and applications where large groups of people are included into the information processing “loop” is growing. Common problem with this kind of systems is that each of them requires large number of contributors and collecting this number may take significant time and effort. This paper aims at development of an ontology-driven cloud platform that would support deployment of various human-based applications and therefore reuse the existing crowd. Three features that distinguish the proposed platform from similar developments are ontologies, digital contracts and resource monitoring facilities. Ontological mechanisms (ability to precisely define semantics and use inference to find related terms) are used to find and allocate human resources required by software services. Digital contracts are used to achieve predictability required by cloud users (application developers). Finally, explicit mechanisms for resource monitoring are essential, as human resources are al...
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... Capture of decisions Request problem definition Decision Context management Profiling Relevant knowledge Reference Figure 3. Hybrid technology framework for context-basedoperational decision support 308 Page 5. Smirnov et al. ...
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The number of crowd computing applications is rapidly growing; however, they currently lack unification and interoperability as each platform usually has its own model of tasks, resources and computation process. We aim at the development... more
The number of crowd computing applications is rapidly growing; however, they currently lack unification and interoperability as each platform usually has its own model of tasks, resources and computation process. We aim at the development of a unifying ontology-driven platform that would support deployment of various human-based applications. Key features of the proposed human-computer cloud platform are ontologies and digital contracts. Ontological mechanisms (ability to precisely define semantics and use inference to find related terms) are employed to find and allocate human resources required by software applications. Whereas digital contracts are leveraged to achieve predictability required by cloud users (application developers). The paper describes major principles behind the platform.
The paper describes the research on cooperation of cyber-human resources in a cyber-physical social system. An ontology for a cyber-physical social system is proposed and specialized for the robotics assembly domain. A task from this... more
The paper describes the research on cooperation of cyber-human resources in a cyber-physical social system. An ontology for a cyber-physical social system is proposed and specialized for the robotics assembly domain. A task from this domain is used to demonstrate scenarios of robot-robot cooperation and robot-human cooperation. Communications that support the cooperation processes are performed through online communities by messaging. Examples of messages and their format are given when the scenarios have been described.
The paper focuses on resource collaboration in cyber-physical-social systems. Technologies of ontologies, intelligent agents, and online communities are used to enable interoperability of human and non-human resources. An agent ontology... more
The paper focuses on resource collaboration in cyber-physical-social systems. Technologies of ontologies, intelligent agents, and online communities are used to enable interoperability of human and non-human resources. An agent ontology and major principles of agent collaboration are proposed. The proposed ontology is based on the earlier developed ontology for resource selforganization. That ontology is specialised for agent collaboration empowered by online communities. The examples from smart room domain and smart travelling domain are concerned with scenarios of agent collaboration.
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Tourism is one of the most dynamic and fastest-growing economic sectors, where on-the-fly information and decision support are more actual than ever. Tourist decision support systems today leverage a variety of technologies both... more
Tourism is one of the most dynamic and fastest-growing economic sectors, where on-the-fly information and decision support are more actual than ever. Tourist decision support systems today leverage a variety of technologies both machine-driven (GIS or knowledge-based inference) and human-driven (recommendation systems). This paper applies a novel concept of human-computer cloud as an architectural approach to building decision support systems in tourism (both from the tourist's perspective, and from destination management organization's perspective). This concept serves as a unifying basis for using human-based resources, allowing to virtualize them much like “ordinary” computing resources. Particularly, the paper identifies the list of typical decision support tasks in tourism domain, and then maps them to a multi-tiered conceptual architecture of cloud services. The proposed architecture is illustrated by the discussion of two scenarios — one for tourist perspective and one for destination management organization.
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The purpose of this chapter is to investigate knowledge fusion processes with reference to context-aware decision support. Various knowledge fusion processes and their possible outcomes are analyzed. A context-aware decision support... more
The purpose of this chapter is to investigate knowledge fusion processes with reference to context-aware decision support. Various knowledge fusion processes and their possible outcomes are analyzed. A context-aware decision support system for emergency management serves as a possible application in which knowledge fusion processes go on. This system provides fused outputs from different knowledge sources. It relies upon context model, which is the key to fuse information/knowledge and to generate useful decisions. The discussion is complemented by examples from a fire response scenario.
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Abstract The paper describes a multiagent architecture developed as a part of the KSNet-approach to the knowledge logistics. This approach is targeted to timely provide an appropriate personalized knowledge to a person making decisions... more
Abstract The paper describes a multiagent architecture developed as a part of the KSNet-approach to the knowledge logistics. This approach is targeted to timely provide an appropriate personalized knowledge to a person making decisions and based on application of the mass customization idea to the knowledge management what can facilitate the knowledge management in an intelligent manufacturing company. The paper presents a structure of the developed agents' society via examples of agents' collaboration scenarios. Main results are discussed in conclusions.
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Cyber-Physical-Social Systems (CPSSs) are expected to be context-aware. Sharable contexts lie at the heart of the context-aware systems. Ontologies provide means to create sharable ontology-based context models. Such ontologies are... more
Cyber-Physical-Social Systems (CPSSs) are expected to be context-aware. Sharable contexts lie at the heart of the context-aware systems. Ontologies provide means to create sharable ontology-based context models. Such ontologies are referred to as context ontologies. Context is an ontology-based model specified for actual settings. The present research inherits the idea of context ontologies usage for modelling context in CPSSs. In this work, an upper level context ontology for CPSSs is proposed. This ontology is applied in the domain of self-organising resource network. A case study from the area of proactive recommendation systems demonstrates the proposed approach.
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The purpose of this paper is discovery of context-based knowledge fusion patterns. Knowledge fusion is considered as an appearance of new knowledge in consequence of processes ongoing in decision support systems. The knowledge fusion... more
The purpose of this paper is discovery of context-based knowledge fusion patterns. Knowledge fusion is considered as an appearance of new knowledge in consequence of processes ongoing in decision support systems. The knowledge fusion processes are considered within a system intended to support decisions on planning emergency response actions. The knowledge fusion patterns are generalized with regard to preservation of internal structures and autonomies of information and knowledge sources involved in the knowledge fusion and to knowledge fusion results. The found patterns give a general idea of knowledge fusion processes taking place at the operational stage of decision support system functioning, i.e. the stage where context-aware functions of the system come into operation. As a practical application, such patterns can support engineers with making choice of knowledge sources to be used in the systems they design.