Anastasiya Yurchyshyna

Towards an Ontology-Based Approach for Creating Sustainable Services

This paper introduces our ontology-based approach for developing sustainable services. After studying the current trends in technology and economy, we underline the importance of the services semantics and the role of ontological domain knowledge in creating intelligent services. We propose to put them into the core of the services information kernel, which capitalizes the knowledge indispensable for defining and creating services. To do this, we develop an approach for creating services based on their information kernel that guarantees their functionality, semantic coherence and sustainability. Finally, we discuss the conceptual methodology of its implementation as a cross-pollination space. The paper is concluded with the perspectives of the ongoing work and the priorities of our future research.

Towards the Knowledge Capitalisation and Organisation in the Model of Conformity-Checking Process in Construction

This paper presents an ontological method aimed at the capitalization of expert knowledge in the context of semi-automatic checking model of the conformity of construction projects against a set of construction norms. The efficiency of our ontology-based reasoning model relies on two keystones. First, it is based on the matching of construction projects represented by RDF graphs to technical conformity queries formalized as SPARQL queries. Second, our reasoning model integrates the meta-knowledge on conformity checking process. Our approach of capitalizing such knowledge is based on the development of semantic annotations of conformity queries and organizing them into a query base. This helps to formalize the expert knowledge in form of expert rules scheduling the matching operations of the checking process. Semantic annotations of conformity queries also help to generate a structured conformity report, which interprets the results of reasoning in terms of conformity checking in construction.

Knowledge capitalisation and organisation for conformance checking model in construction

This paper presents an ontological method aimed at the capitalisation and organisation of conformance-related knowledge for semi-automatic checking model of the conformance of construction projects against a set of conformance requirements. We start by developing a method for knowledge representation of explicit knowledge taking part in checking, and capitalisation of tacit knowledge defining checking practices. Then we explain our approach for classification, organisation and retrieval of conformance requirements and propose an approach for scheduling these requirements to optimise the checking process. Finally, we introduce our reasoning model that is based on matching graph representations of construction projects and conformance queries, and interpret the acquired results in terms of conformance checking in construction. To validate our approach, we describe a prototype illustrating its feasibility, and discuss ongoing works and perspectives of our research.

Towards a Services-Based Approach for Supporting Idea Development Process

This paper describes our approach for supporting the idea development process by integrating the ontological vision and services-oriented approaches. We start by analyzing the existing models for the creative process and by identifying new challenges of the creative society, while focusing on different kinds of knowledge charactering the creativity process. Second, we argue the importance of the value creation and semantic consistency of the idea development process, and underline the interdependence of the ontology-enabled and services-oriented approaches for supporting it. Third, we study the static and dynamic aspects of the development process and propose the methodology allowing us to identify and model these aspects. We also argue the role of the experience in creation and discuss how it can be transformed into actionable knowledge for modeling. Fourth, we describe the scope of the ongoing work aimed to illustrate the feasibility of our model: the intelligent negotiation table bringing together the professionals of different domains for solving an applied task. Finally, we discuss the perspectives of this research and the priorities of our future work.

Decision Constructing as Conceptualisation of Service Innovation

The importance of innovation in development of new services can hardly be overestimated. While studying new challenges our services-based society brings today, we start the research from identifying the main concepts and processes related to service innovation and from presenting the state of the art corresponding to these interdependent phenomena. We identify the limitations of the current works and propose our approach for innovation in services thanks to collaborative decision constructing. We demonstrate how decision constructing can be supported by the processes of knowledge actionalising and briefly describe its methodology. We then introduce the CPS, a collaborative platform for service innovation that is developed according to our approach. Practical implementation of this research is furthermore discussed and a scope of ongoing and future works is presented.

Innovation and evolution of services: role of initiatives

This paper discusses the role of initiatives in dynamic collaborative processes of services innovation and evolution in the organizational context of an enterprise. The research is based on the current state of the art on modeling initiatives and services and studies phenomena of innovation and evolution for supporting services. Within our approach, we propose definitions for the key concepts related to modeling processes of services innovation and evolution, and define their main characteristics, stakeholders and roles. Furthermore, we introduce our services-oriented approach for initiatives management and show how it could be used for the process of services innovation through knowledge actionalizing. This theoretical founding is then discussed from the implementation viewpoint: we introduce a trans-disciplinary collaboration platform, Cross-Pollination Space, and briefly describe its framework. We conclude with the scope of current work and identify some context limitations of this research and reposition them as perspectives for our future work.