Relationships and events: towards a general theory of reification and truthmaking.

We propose a novel ontological analysis of relations and relationships based on a re-visitation of a classic problem in the practice of knowledge repre- sentation and conceptual modeling, namely relationship reification. Our idea is that a relation holds in virtue of a relationship's existence. Relationships are therefore truthmakers of relations. In this paper we present a general theory or reification and truthmaking, and discuss the interplay between events and rela- tionships, suggesting that relationships are the focus of events, which emerge from the context (the scene) they occur in

Towards semantic software engineering environments

Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs. In this paper we discuss an ontology-based approach to tool integration and present ODE, an ontology-based SEE

On understanding the value of domain modeling

In the context of enterprise and information systems engineering (including enterprise architecture, business process management, etc), a wide range of domain models are produced and used. Examples of such domain models include business process models, enterprise architecture models, information models, all sorts of reference models, and indeed value models and business ontologies. The creation, administration, and use, of such domain models requires an investment in terms of resources (time, money, cognitive effort, etc). We contend that such investments should be met by a (potential) return. In other words, the resulting models and / or the processes involved in their creation, administration, and use, should add value that make these investments worth while. In the work reported on in this paper, we aim to gain a better understanding of the factors that can be used to define the value of modeling. We also look forward to raising a broader discussion on this important topic at VMBO 2021.</p

On Views, Diagrams, Programs, Animations, and Other Models

Humanity has long since used models in different shapes and forms to understand , redesign, communicate about, and shape, the world around us; including many different social, economic, biological, chemical, physical, and digital aspects. This has resulted in a wide range of modeling practices. When the models as used in such modeling practices have a key role to play in the activities in which these modeling practices are 'embedded', the need emerges to consider the effectiveness and efficiency of such processes, and speak about modeling capabilities. In the latter situation, it becomes relevant to develop a thorough understanding of the artifacts involved in the modeling practices/capabilities. One field in which models play (an increasingly) important role is the field of system development (including software engineering, information systems engineering, and enterprise design management). In this context, we come across notions, such as views, diagrams, programs, animations, specifications, etc. The aim of this paper is to take a fundamental look at these notions. In doing so, we will argue that these notions should actually be seen as specific kinds of models, albeit for fundamentally different purposes

Analyzing requirements of knowledge management systems with the support of agent organizations

Knowledge Management (KM) is considered by many organizations a key aspect in sustaining competitive advantage. Designing appropriate KM processes and enabling technology face considerable risks, as they must be shaped to respond to specific needs of the organizational environment. Thus, many systems are abandoned or fall into disuse because of inadequate understanding of the organizational context. This motivates current research, which tends to propose agent organizations as a useful paradigm for KM systems engineering. Following these approaches, organizations are analyzed as collective systems, composed of several agents, each of them autonomously producing and managing their own local data according to their own logic, needs, and interpretative schema, i.e. their goals and beliefs. These agents interact and coordinate for goal achievement defining a coherent local knowledge system. This paper presents a novel methodology for analyzing the requirements of a KM system based on an iterative workflow where a pivotal role is played by agent-oriented modeling. Within this approach, the needs for KM systems are traced back to the organization stakeholders’ goals. A case study is used to illustrate the methodology. The relationship of this work with current studies in agent organizations and organizational knowledge management is also discussed. Differently from other works, this methodology aims at offering a practical guideline to the analyst, pointing out the appropriate abstractions to be used in the different phases of the analysis

Modelling international monthly tourism demand at the micro destination level with climate indicators and web-traffic data

We investigate if and how climate indicators and web-traffic data may improve the estimates of demand functions\u2019 parameters, considering specific origins and destinations. Overall, augmented demand functions show better fit and more reliable price and income elasticities whether the demand is measured with arrivals or with overnights. However, heterogeneity stemming from the main type of tourism (business vs. cultural vs. sea and sun) affects both the web-based and the climate indicators better describing tourists demand as well as their optimal lags. Our findings highlight the utility of such prompt and territorial detailed information for local policymakers, showing, however, how sensitive different demand segments are to policy intervention

Evidence of large-scale conceptual disarray in multi-level taxonomies in Wikidata

The distinction between types and individuals is key to most conceptual modeling techniques and knowledge representation languages. Despite that, there are a number of situations in which modelers navigate this distinction inadequately, leading to problematic models. We show evidence of a large number of representation mistakes associated with the failure to employ this distinction in the Wikidata knowledge graph, which can be identified with the incorrect use of instantiation, which is a relation between an instance and a type, and specialization (or subtyping), which is a relation between two types. The prevalence of the problems in Wikidata’s taxonomies suggests that methodological and computational tools are required to mitigate the issues identified, which occur in many settings when individuals, types, and their metatypes are included in the domain of interest. We conduct a conceptual analysis of entities involved in recurrent erroneous cases identified in this empirical data, and present a tool that supports users in identifying some of these mistakes

Residents’ perceptions of environmental certification, environmental impacts and support for the world expo 2015: the moderating effect of place attachment

Purpose: Based on social exchange theory (SET) and signaling theory (ST), this study aims to evaluate how an event’s perceived environmental certification (PEC) by residents, affect their evaluations of environmental impacts and subsequent event support (ES). The moderating role of place attachment (PA) on some of these relationships is also evaluated. Design/methodology/approach: Using partial least square structural equation modeling (PLS-SEM), a theoretical model is tested on a sample of 450 residents who attended the 2015 Milan World Expo. Findings: PEC positively affects evaluations of positive environmental impacts (PEI) but negatively affects evaluations of negative environmental impacts (NEI). PEC positively affects ES while the relationship between PEC and NEI is moderated by PA. Research limitations/implications: Items used to measure PEC, PEI and NEI are not exhaustive. SET has its own limitations in explaining residents’ ES, which the authors have attempted to attenuate by using ST. Practical implications: Using environmental certification as a communication tool must demonstrate to residents how it reduces negative externalities, rather than focusing only on its positive community benefits. Less well-educated residents had the lowest ES, suggesting the need to use social media to increase ES. Originality/value: This study contributes to understandings of the perceptions of the benefits of event certification by residents, and how this affects their ES. PA moderates the relationship between PEC and NEI