Associations and Mutual Properties - An Experimental Assessment

Associations are a widely used construct of object-oriented languages. However, the meaning of associations for conceptual modelling of application domains remains unclear. Ontological considerations in past research suggest that associations are related to the concept of mutual properties. Specifically, previous research has suggested that mutual properties, not associations, should be modelled, and guidelines for doing this in UML have been offered. This paper presents the results of an experimental study, which suggest that this guidance does in fact lead to improved models

Towards a Semantic Data Quality Management - Using Ontologies to Assess Master Data Quality in Retailing

Since its inception Information Systems has relied heavily on older, more established, reference disciplines for much of its theory development and practical application. The relationship between the economic sciences and information quality has been the subject of much of the work recognized through the Nobel Prize in Economic Sciences. Beginning with Simon’s decision-making model published before a discipline known as Information Systems existed, this paper reviews this relationship and the parallel development of information quality and computing capability from an Information System perspective and changing paradigms in economics as recognized in the works of the Nobel laureates. From economic theories based on assumed knowledge, the paradigm is shifting to methods of empirical testing and experimentation. Organizations continue to make operational and strategic decisions. Additionally, now information is being aggregated, warehoused, mined, and analyzed to make a host of societal decisions and to understand economic behaviors through experimentation and empirical analysis

Enterprise Architecture: Charting the Territory for Academic Research

The concept of Enterprise Architecture (EA) has long been considered as a means to improve system integration and achieve better IT-business alignment by IT professionals. Recently, the subject gained significant visibility by IS academics. In this paper we provide an overview of existing EA research and practice and present key functions and benefits of EA as seen by IT professionals based on the results of the SIM Information Management Practices Survey. We then identify and discuss directions for future research, including the development of EA definition and nomological net, as well as development of theoretical propositions regarding EA business value

Context-Aware Information Retrieval for Enhanced Situation Awareness

In the coalition forces, users are increasingly challenged with the issues of information overload and correlation of information from heterogeneous sources. Users might need different pieces of information, ranging from information about a single building, to the resolution strategy of a global conflict. Sometimes, the time, location and past history of information access can also shape the information needs of users. Information systems need to help users pull together data from disparate sources according to their expressed needs (as represented by system queries), as well as less specific criteria. Information consumers have varying roles, tasks/missions, goals and agendas, knowledge and background, and personal preferences. These factors can be used to shape both the execution of user queries and the form in which retrieved information is packaged. However, full automation of this daunting information aggregation and customization task is not possible with existing approaches. In this paper we present an infrastructure for context-aware information retrieval to enhance situation awareness. The infrastructure provides each user with a customized, mission-oriented system that gives access to the right information from heterogeneous sources in the context of a particular task, plan and/or mission. The approach lays on five intertwined fundamental concepts, namely Workflow, Context, Ontology, Profile and Information Aggregation. The exploitation of this knowledge, using appropriate domain ontologies, will make it feasible to provide contextual assistance in various ways to the work performed according to a user’s taskrelevant information requirements. This paper formalizes these concepts and their interrelationships

Requirements of Process Modeling Languages – Results from an Empirical Investigation

The majority of large and mid-sized companies are active in BusinessProcess Management (BPM). Documenting business processesis a key task of BPM, but the variety of process modelinglanguages makes it difficult to determine ‘the best’ one. Basically,the suitability of a process modeling language depends on thecompanies’ requirements. In this paper we adopt a bird’s eye viewon the issue: By an empirical investigation of 130 publiccompanies from all over the world and any sector, we gather thecommon requirements of process modeling languages and usethem to assess the most popular ones (i.e., BPMN, UML ActivityDiagrams, Event-driven Process Chains). Our results show thatthese languages are (1) equally expressive and (2) presumablyequally understandable concerning the common core notion of‘business process’; thus, they can be used interchangeably.However, the BPMN is the most complex process modelinglanguage

Leveraging Group Cohesiveness to Form Workflow Teams

Past literature shows that workflows will be performed with greater efficiency and/or effectiveness if workflow teams have higher group cohesiveness. The major contribution of this work in progress is the creation and implementation of a formal generalized methodology that incorporates ideas from two diverse fields: social network theory and workflow modeling, and allows optimization of work groups along group cohesiveness. In order to implement this model we present newly created algorithms to structure and represent the problem of workflow load representation, possible team sets and social network metric optimization so that standard integer programming solvers can attempt to solve it

Towards interoperability of i* models using iStarML

Goal-oriented and agent-oriented modelling provides an effective approach to the understanding of distributed information systems that need to operate in open, heterogeneous and evolving environments. Frameworks, firstly introduced more than ten years ago, have been extended along language variants, analysis methods and CASE tools, posing language semantics and tool interoperability issues. Among them, the i* framework is one the most widespread. We focus on i*-based modelling languages and tools and on the problem of supporting model exchange between them. In this paper, we introduce the i* interoperability problem and derive an XML interchange format, called iStarML, as a practical solution to this problem. We first discuss the main requirements for its definition, then we characterise the core concepts of i* and we detail the tags and options of the interchange format. We complete the presentation of iStarML showing some possible applications. Finally, a survey on the i* community perception about iStarML is included for assessment purposes.Preprin

Situated Support for Choice of Representations

As more and more companies are augmenting their data to include semantics it is imperative that the choices made when choosing the modelling language are well founded in knowledge about the language and the domain in question. This work demonstrates how the Semiotic Quality Framework can facilitate the choice of the most suited language for a real world application. Computational and situated features are introduced as an extension to the framework