Violeta Damjanovic

Developing Ontologies for Collaborative Engineering in Mechatronics

Creating a coherent set of ontologies to support a collaborative design process amongst different firms which develop mechatronic products is a challenge due to the semantic heterogeneity of the underlying domain models and the amount of domain knowledge that needs to be covered. We tackle the problem of semantic heterogeneity by employing the DOLCE foundational ontology and by aligning our models to it. We approach the problem of scale, i.e. the amount of knowledge modeled by keeping the models at a descriptive level which is still granular enough to connect them with domain and task specific engineering tools. In order to manage the complexity of the modeling task we separate the models into the foundational layer, the mechatronic layer consisting of three domain ontologies, one process model and one cross-domain model, and the collaborative application layer. For the development process, we employ a methodology for dynamic ontology creation, which moves from taxonomical structures to formal models.

Semantic enhancement for media asset management systems

The socio-economic development of the World Wide Web gathered a large momentum through Web 2.0 and currently, the Web of Data is adding a further technological driver to this. The tremendous growth of media data combined with structured (linked) data promises further opportunities for digital market places. Although the integration of media content with linked data is only beginning there are already working groups and projects addressing this issue. We show how media and existing data sets can be seamlessly integrated and thus give possibilities for an extended user experience while interacting with media content on the web. We focus on automatic semantic enhancement services that can link arbitrary and open accessible data and introduce opportunities for media annotation, fragmentation and presentation. Our use case scenario is based on the Red Bull Content Pool, a media management system for videos, images and articles about Red Bull related content covering a multitude of sports events.

Semantic reengineering of business processes

This paper discusses transforming ontological models into non-ontological models of business processes, when the process of articulating different data models is known as reengineering domains. As a crucial factor in achieving interoperability and semantic reengineering of the domains with the different levels of semantic representation (expressiveness), we point out the role of foundational ontology that serves to enable global meaning of the process knowledge and that is, in this paper, additionally connected with the process theory (process algebra). The main focus of the process theory is on the system that interacts with one another, such as the business processes, whereas the main idea of semantic reengineering is transforming ontological models into the semantic business processes that can be (semi-)automatically executed via a workflow engine. Therefore, as a promising solution in achieving interoperability between the real enterprise needs and the business process models, we involve the Pi-Calculus as a process theory to provide semantics between the ontological models based on the DOLCE Description and Situation (D&S) Plan and Tasks Ontology (DDPO) and the business process models that are expressed in Business Process Execution Language (BPEL).

Ontology design patterns for the semantic business processes

This paper discusses two research paradigms: the first one is based on using the Meta-Object Facility (MOF) to support any kind of metadata, whereas the second one emphasizes the role of the Ontology Design Patterns (ODPs) to support knowledge transformation between the source and the target models. More precisely, in this paper we represent the Business Process ODP, which reflects both the syntax and semantics of business process specification and brings an abstract solution to the typical problem of designing and modelling semantic business processes.

UNDERSTANDER Business Intelligence Seeker — User agent

UNDERSTANDER is an exploratory R&D project investigating Business Intelligence (BI) as a knowledge-gathering tool for supporting innovation processes in specific industrial domains. We develop a knowledge-based model that is grounded on the following three concepts: (i) Business Intelligence Model (BIM) developed by a Canadian project for BI technologies, (ii) taxonomy of Competitive Intelligence (CI) developed by CI practitioners, and (iii) Conceptual Dependency (CD) theory dealing with verb-oriented organization of knowledge. We also investigate whether knowledge-based models can be made adequate for the problem of gathering BI from web resources. Such a knowledge model can be used to “prime” a software agent and the agent can then search autonomously for relevant information on the Web. To express the interaction between agents, we consider “mechanism design”, which is a framework for designing interaction between self-interested agents to achieve specific outcomes. A BI Seeker is a multi-agent application developed in WADE. (Workflows and Agents Development Environment). WADE is an extension of JADE, a popular Open Source framework that brings workflow mechanisms to agents. We present the design of the BI Seeker as an application in the field of Industrial Internet.

Functional Programming Way to Interact with Software Attacks and Vulnerabilities

This paper proposes using functional programming style in a way to respond to detection of and interaction with the software attacks and vulnerabilities. Additionally, our approach considers involving Description Logics, as a basis for the use of the Semantic Web and meta-programming to produce executable ontologies and to enable semantic reasoning over behavior and interaction with software attacks and vulnerabilities. Accordingly, we introduce Magic Potion, a recently defined Domain Specific meta-Language that uses Modeling Spaces framework to study heterogeneous modeling and meta-modeling problems inspired by Model Driven Architecture. As an example of formalism for modeling software attacks and vulnerabilities, we explore Attack Tree, which provides a formal methodology for analyzing the security of the system. Based on Attack Tree, which is herein specified for a particular problem of dealing with known attacks and vulnerabilities of the security layer of the Wireless Application Protocol, and which is particularly built on top of Magic Potion specification, we define our specific Domain Specific Language that we call Attack Tree Domain Specific Language. It is envisioned as a tool for modeling and interacting with software attacks and vulnerabilities.