Evolving information systems: meeting the ever-changing environment

To meet the demands of organizations and their ever-changing environment, information systems are required which are able to evolve to the same extent as organizations do. Such a system has to support changes in all time-and application-dependent aspects. In this paper, requirements and a conceptual framework for evolving information systems are presented. This framework includes an architecture for such systems and a revision of the traditional notion of update. Based on this evolutionary notion of update (recording, correction and forgetting) a state transition-oriented model on three levels of abstraction (event level, recording level, correction level) is introduced. Examples are provided to illustrate the conceptual framework for evolving information systems

Challenges in Bridging Social Semantics and Formal Semantics on the Web

This paper describes several results of Wimmics, a research lab which names stands for: web-instrumented man-machine interactions, communities, and semantics. The approaches introduced here rely on graph-oriented knowledge representation, reasoning and operationalization to model and support actors, actions and interactions in web-based epistemic communities. The re-search results are applied to support and foster interactions in online communities and manage their resources

Disciplining the body? Reflections on the cross disciplinary import of ‘embodied meaning’ into interaction design

The aim of this paper is above all critically to examine and clarify some of the negative implications that the idea of ‘embodied meaning’ has for the emergent field of interaction design research. Originally, the term ‘embodied meaning’ has been brought into HCI research from phenomenology and cognitive semantics in order to better understand how user’s experience of new technological systems relies to an increasing extent on full-body interaction. Embodied approaches to technology design could thus be found in Winograd & Flores (1986), Dourish (2001), Lund (2003), Klemmer, Hartman & Takayama (2006), Hornecker & Buur (2006), Hurtienne & Israel (2007) among others. However, fertile as this cross-disciplinary import may be, design research can generally be criticised for being ‘undisciplined’, because of its tendency merely to take over reductionist ideas of embodied meaning from those neighbouring disciplines without questioning the inherent limitations it thereby subscribe to. In this paper I focus on this reductionism and what it means for interaction design research. I start out by introducing the field of interaction design and two central research questions that it raises. This will serve as a prerequisite for understanding the overall intention of bringing the notion of ‘embodied meaning’ from cognitive semantics into design research. Narrowing my account down to the concepts of ‘image schemas’ and their ‘metaphorical extension’, I then explain in more detail what is reductionistic about the notion of embodied meaning. Having done so, I shed light on the consequences this reductionism might have for design research by examining a recently developed framework for intuitive user interaction along with two case examples. In so doing I sketch an alternative view of embodied meaning for interaction design research. Keywords: Interaction Design, Embodied Meaning, Tangible User Interaction, Design Theory, Cognitive Semiotics</p

Conceptual Modelling and The Quality of Ontologies: Endurantism Vs. Perdurantism

Ontologies are key enablers for sharing precise and machine-understandable semantics among different applications and parties. Yet, for ontologies to meet these expectations, their quality must be of a good standard. The quality of an ontology is strongly based on the design method employed. This paper addresses the design problems related to the modelling of ontologies, with specific concentration on the issues related to the quality of the conceptualisations produced. The paper aims to demonstrate the impact of the modelling paradigm adopted on the quality of ontological models and, consequently, the potential impact that such a decision can have in relation to the development of software applications. To this aim, an ontology that is conceptualised based on the Object-Role Modelling (ORM) approach (a representative of endurantism) is re-engineered into a one modelled on the basis of the Object Paradigm (OP) (a representative of perdurantism). Next, the two ontologies are analytically compared using the specified criteria. The conducted comparison highlights that using the OP for ontology conceptualisation can provide more expressive, reusable, objective and temporal ontologies than those conceptualised on the basis of the ORM approach

Evolving temporal conceptual schemas: the reification case

We study temporal conceptual schema evolutions related to reification, a typical and complex modeling construct. Various types of reification are considered. Using a previously defined framework, we specify only at conceptual level (and without descending to logical or application levels), the effects of any possible evolution related to reification, thus reducing the complexity of the management of those changes.Peer ReviewedPostprint (published version

Change Mining in Adaptive Process Management Systems

The wide-spread adoption of process-aware information systems has resulted in a bulk of computerized information about real-world processes. This data can be utilized for process performance analysis as well as for process improvement. In this context process mining offers promising perspectives. So far, existing mining techniques have been applied to operational processes, i.e., knowledge is extracted from execution logs (process discovery), or execution logs are compared with some a-priori process model (conformance checking). However, execution logs only constitute one kind of data gathered during process enactment. In particular, adaptive processes provide additional information about process changes (e.g., ad-hoc changes of single process instances) which can be used to enable organizational learning. In this paper we present an approach for mining change logs in adaptive process management systems. The change process discovered through process mining provides an aggregated overview of all changes that happened so far. This, in turn, can serve as basis for all kinds of process improvement actions, e.g., it may trigger process redesign or better control mechanisms