Alexey M. Kashevnik

The Smart-M3 Platform: Experience of Smart Space Application Development for Internet of Things

Efficient resource utilization in the Internet and in appearing Internet of Things (IoT) environments needs “smart applications”. They operate over shared resources of the computing environment to construct services sensitive to the users and their needs. Smart spaces support services that actively involve surrounding digital devices and Internet services. In this paper, we consider the Smart-M3 platform—an open source solution for creating smart spaces with ontology-driven information sharing. This study makes a next step for evolving smart space application development. We systemize the key properties for application development using Smart-M3 in IoT settings. The properties are analyzed on selected use cases, covering such emerging IoT application domains as collaborative work and e-Tourism. Our experimental evaluation confirms the applicability of analyzed solutions for today’s computing environments.

Anonymous Agent Coordination in Smart Spaces: State-of-the-Art

Development of new technologies brings people new possibilities such as smart spaces. Smart spaces can provide better user experience by allowing a user to connect new devices flexibly and to access all the information in the multi device system from any of the devices. The paper describes work-in-progress performed under a joint project of SPIIRAS and Nokia. The project is aimed at the analysis of existing anonymous agent coordination languages and adaptation of them to coordination of smart space devices.

Recommendation system for tourist attraction information service

The paper proposes a description of information decision support system in the tourism domain and a set of methods and algorithms for generating recommendations for a user that allow significant increase of the system usability. The system generates for the user recommendations which attractions at the moment are better to attend based on the user preferences and the current situation in the location area. The system also allows showing the user information about interesting attraction in more detail, which is based on analyzing information evaluations made by other users.

Virtual shared workspace for smart spaces and M3-based case study

Lack of practical development platforms and specific methods of application programming delays extensive real-life deployment of smart spaces. Virtual shared workspace is a reasonable scenario for evaluation of the smart spaces paradigm maturity. In this paper we consider SmartRoom system, which is Smart-M3 based open source implementation of virtual shared workspaces. Such collaboration activity as conference or meeting is performed in a room equipped with computing and presentational devices as well as accessing Internet services. Personal mobile devices are primary tools for users. Although the Smart-M3 platform is still a research prototype we show that its existing capability is sufficient for developing certain services for practical use. Functionality of SmartRoom services is not finely tuned and not strictly limited by activity domain. Advanced service construction with context awareness, personalization, and augmentation is possible. We illustrate these properties by introducing e-Tourism services for use in SmartRoom collaborative activity.

Integration of smart-M3 applications: blogging in smart conference

Smart spaces provide a shared view of dynamic resources and context-aware services within a distributed application. There is, however, no standard scheme for integration of several independent applications. In this paper we analyze two particular smart space-based applications: Smart Conference system that assists conferencing process online and SmartScribo system that provides advanced access to the blogosphere. For this reference use case we propose a scheme of their integration that employs an agent to share knowledge between the origin applications. The initial implementation was demonstrated in the 9th FRUCT Conference and indicates the applicability of our approach.

On-the-fly ontology matching in smart spaces: a multi-model approach

Proper functioning of smart spaces demands semantic interoperability between knowledge processors connected to it. As a consequence it is required to develop models that would enable knowledge processors to translate on-the-fly between the internal and smart space ontologies. This paper presents the developed multi-model approach to the above problem, where the major elements of the selected approach are described in detail.

Ontology-based users and requests clustering in customer service management system

Customer Service Management is one of major business activities to better serve company customers through the introduction of reliable processes and procedures. Today this kind of activities is implemented through e-services to directly involve customers into business processes. Traditionally Customer Service Management involves application of data mining techniques to discover usage patterns from the company knowledge memory. Hence grouping of customers/requests to clusters is one of major technique to improve the level of company customization. The goal of this paper is to present an efficient for implementation approach for clustering users and their requests. The approach uses ontology as knowledge representation model to improve the semantic interoperability between units of the company and customers. Some fragments of the approach tested in an industrial company are also presented in the paper.

Smart Space-Based Tourist Recommendation System

The paper presents smart space-based tourist recommendation system that allows acquiring information about places of interests around the tourist from different internet sources (like wikipedia, wikivoyage, wikitravel, panoramio, flickr). The system implements ranking acquired attractions accord- ing to the tourist preferences and current situation in the tourist location. Tour- ists can rate attractions that they like or dislike. Based on these ratings a rec- ommendation service clusters tourists into groups with similar interests and us- es evaluations of tourists belonging to the same group for ranking attractions around the tourist. The paper presents a prototype service for these purposes that is based on smart space technology. The prototype has been developed for Android devices and is available for free downloaded from Google Play market.

Smart Logistic Service for Dynamic Ridesharing

The paper describes a service-based approach to dynamic ridesharing based on the smart space concept. Presented system allows planning and assisting a tourist for museum attending and finds a driver for reaching the museums. The paper applies an approach presented in FRUCT 11 to assisting tourists in a certain area (e.g., in a given city). Smart-M3 information platform is used as a smart space infrastructure for the presented approach. The service is based on the Smart-M3 ontology which is formed by ontology slices of user’s mobile devices. The paper presents an algorithm for finding appropriate fellow-travelers for drivers as well as definition of acceptable pick-up and drop-off points for them.

HYBRID TECHNOLOGY FOR SELF-ORGANIZATION OF RESOURCES OF PERVASIVE ENVIRONMENT FOR OPERATIONAL DECISION SUPPORT

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 dynamic logistics.