Informaticology: combining Computer Science, Data Science, and Fiction Science

Motivated by an intention to remedy current complications with Dutch terminology concerning informatics, the term informaticology is positioned to denote an academic counterpart of informatics where informatics is conceived of as a container for a coherent family of practical disciplines ranging from computer engineering and software engineering to network technology, data center management, information technology, and information management in a broad sense. Informaticology escapes from the limitations of instrumental objectives and the perspective of usage that both restrict the scope of informatics. That is achieved by including fiction science in informaticology and by ranking fiction science on equal terms with computer science and data science, and framing (the study of) game design, evelopment, assessment and distribution, ranging from serious gaming to entertainment gaming, as a chapter of fiction science. A suggestion for the scope of fiction science is specified in some detail. In order to illustrate the coherence of informaticology thus conceived, a potential application of fiction to the ontology of instruction sequences and to software quality assessment is sketched, thereby highlighting a possible role of fiction (science) within informaticology but outside gaming

Style Guidelines for Naming and Labeling Ontologies in the Multilingual Web

In the context of the Semantic Web, natural language descriptions associated with ontologies have proven to be of major importance not only to support ontology developers and adopters, but also to assist in tasks such as ontology mapping, information extraction, or natural language generation. In the state-of-the-art we find some attempts to provide guidelines for URI local names in English, and also some disagreement on the use of URIs for describing ontology elements. When trying to extrapolate these ideas to a multilingual scenario, some of these approaches fail to provide a valid solution. On the basis of some real experiences in the translation of ontologies from English into Spanish, we provide a preliminary set of guidelines for naming and labeling ontologies in a multilingual scenario

A methodology for comparing design processes

Engineering Design Centre, University of Cambridge; Design and Innovation, Open UniversityWe gain insights into design processes by recognising similarities to other processes, often in radically different industries. The crucial determinants of what happens are characteristics shared with some other design processes. But there is no way to draw on comparisons beyond one's own experience. We are developing a programme of comparative design research that aims to map the similarities and differences between design processes, and develop a deeper understanding of how and why design is done differently in different industries, and how effective practices can be transferred between industries. In this paper we outline a methodology for creating analyses of design processes that facilitates both cross-process comparisons and the integration of different analytical perspectives on design. The analyst draws on a catalogue of previous design process descriptions for useful concepts, to map processes as a network of participants and activities and the relationships between them, and describe the causal relationships between the properties of the participants, activities and relationships.EPSR

Mitigating response distortion in IS ethics research

Distributed construction of conceptual models may lead to a set of problems when these models are to be compared or integrated. Different kinds of comparison conflicts are known (e.g. naming conflicts or structural conflicts), the resolution of which is subject of different approaches. However, the expost resolution of naming conflicts raises subsequent problems that origin from semantic diversities of namings – even if they are syntactically the same. Therefore, we propose an approach that allows for avoiding naming conflicts in conceptual models already during modelling. This way, the ex-post resolution of naming conflicts becomes obsolete. In order to realise this approach we combine domain thesauri as lexical conventions for the use of terms, and linguistic grammars as conventions for valid phrase structures. The approach is generic in order to make it reusable for any conceptual modelling language

The Joint COntrols Project Framework

The Framework is one of the subprojects of the Joint COntrols Project (JCOP), which is collaboration between the four LHC experiments and CERN. By sharing development, this will reduce the overall effort required to build and maintain the experiment control systems. As such, the main aim of the Framework is to deliver a common set of software components, tools and guidelines that can be used by the four LHC experiments to build their control systems. Although commercial components are used wherever possible, further added value is obtained by customisation for HEP-specific applications. The supervisory layer of the Framework is based on the SCADA tool PVSS, which was selected after a detailed evaluation. This is integrated with the front-end layer via both OPC (OLE for Process Control), an industrial standard, and the CERN-developed DIM (Distributed Information Management System) protocol. Several components are already in production and being used by running fixed-target experiments at CERN as well as for the LHC experiment test beams. The paper will give an overview of the key concepts behind the project as well as the state of the current development and future plans.Comment: Paper from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003, 4 pages, PDF. PSN THGT00

Annotations for Rule-Based Models

The chapter reviews the syntax to store machine-readable annotations and describes the mapping between rule-based modelling entities (e.g., agents and rules) and these annotations. In particular, we review an annotation framework and the associated guidelines for annotating rule-based models of molecular interactions, encoded in the commonly used Kappa and BioNetGen languages, and present prototypes that can be used to extract and query the annotations. An ontology is used to annotate models and facilitate their description