Formal nursing terminology systems: a means to an end

In response to the need to support diverse and complex information requirements, nursing has developed a number of different terminology systems. The two main kinds of systems that have emerged are enumerative systems and combinatorial systems, although some systems have characteristics of both approaches. Differences in the structure and content of terminology systems, while useful at a local level, prevent effective wider communication, information sharing, integration of record systems, and comparison of nursing elements of healthcare information at a more global level. Formal nursing terminology systems present an alternative approach. This paper describes a number of recent initiatives and explains how these emerging approaches may help to augment existing nursing terminology systems and overcome their limitations through mediation. The development of formal nursing terminology systems is not an end in itself and there remains a great deal of work to be done before success can be claimed. This paper presents an overview of the key issues outstanding and provides recommendations for a way forward

Applying semantic web technologies to knowledge sharing in aerospace engineering

This paper details an integrated methodology to optimise Knowledge reuse and sharing, illustrated with a use case in the aeronautics domain. It uses Ontologies as a central modelling strategy for the Capture of Knowledge from legacy docu-ments via automated means, or directly in systems interfacing with Knowledge workers, via user-defined, web-based forms. The domain ontologies used for Knowledge Capture also guide the retrieval of the Knowledge extracted from the data using a Semantic Search System that provides support for multiple modalities during search. This approach has been applied and evaluated successfully within the aerospace domain, and is currently being extended for use in other domains on an increasingly large scale

(Optimal) governance of research support by “Survey Methodology”

Survey research is an integral element of modern social science. The infrastructure in terms of research institute, surveys, conferences and journals has greatly improved over the past 20 years and recently several initiatives have gained momentum even on a European level. This development has brought about the need for an integrated theoretical concept in order to assess and evaluate the quality of surveys and survey estimates. In our view, survey methodology is an interdisciplinary body of knowledge and expertise that describes the “science of conducting and evaluating surveys”. It is a theory-driven empirical approach to assess the quality of survey research. Thus, it applies the principles of survey research to the development and assessment of this very method. Even though surveys have been conducted in a highly professional manner for decades, survey methodology offers the opportunity to use a universal theoretical approach when planning and assessing surveys and also a joint terminology. Both, the integrated theoretical concept and the joint terminology foster the professionalization of survey methods and stimulates methodological research on the improvement of survey methods. One key element of survey methodology is the total survey error framework. It shall be described in greater detail below (section 1). Afterwards we will discuss some limitations of this concept (section 2) and mechanisms ad organizational issues in order to promote the use of this concept (section 3).

Overview of methodologies for building ontologies

A few research groups are now proposing a series of steps and methodologies for developing ontologies. However, mainly due to the fact that Ontological Engineering is still a relatively immature discipline, each work group employs its own methodology. Our goal is to present the most representative methodologies used in ontology development and to perform an analysis of such methodologies against the same framework of reference. So, the goal of this paper is not to provide new insights about methodologies, but to put it all in one place and help people to select which methodology to use

Enterprise application reuse: Semantic discovery of business grid services

Web services have emerged as a prominent paradigm for the development of distributed software systems as they provide the potential for software to be modularized in a way that functionality can be described, discovered and deployed in a platform independent manner over a network (e.g., intranets, extranets and the Internet). This paper examines an extension of this paradigm to encompass ‘Grid Services’, which enables software capabilities to be recast with an operational focus and support a heterogeneous mix of business software and data, termed a Business Grid - "the grid of semantic services". The current industrial representation of services is predominantly syntactic however, lacking the fundamental semantic underpinnings required to fulfill the goals of any semantically-oriented Grid. Consequently, the use of semantic technology in support of business software heterogeneity is investigated as a likely tool to support a diverse and distributed software inventory and user. Service discovery architecture is therefore developed that is (a) distributed in form, (2) supports distributed service knowledge and (3) automatically extends service knowledge (as greater descriptive precision is inferred from the operating application system). This discovery engine is used to execute several real-word scenarios in order to develop and test a framework for engineering such grid service knowledge. The examples presented comprise software components taken from a group of Investment Banking systems. Resulting from the research is a framework for engineering servic

Exploiting conceptual spaces for ontology integration

The widespread use of ontologies raises the need to integrate distinct conceptualisations. Whereas the symbolic approach of established representation standards – based on first-order logic (FOL) and syllogistic reasoning – does not implicitly represent semantic similarities, ontology mapping addresses this problem by aiming at establishing formal relations between a set of knowledge entities which represent the same or a similar meaning in distinct ontologies. However, manually or semi-automatically identifying similarity relationships is costly. Hence, we argue, that representational facilities are required which enable to implicitly represent similarities. Whereas Conceptual Spaces (CS) address similarity computation through the representation of concepts as vector spaces, CS rovide neither an implicit representational mechanism nor a means to represent arbitrary relations between concepts or instances. In order to overcome these issues, we propose a hybrid knowledge representation approach which extends FOL-based ontologies with a conceptual grounding through a set of CS-based representations. Consequently, semantic similarity between instances – represented as members in CS – is indicated by means of distance metrics. Hence, automatic similarity detection across distinct ontologies is supported in order to facilitate ontology integration

An ontology to standardize research output of nutritional epidemiology : from paper-based standards to linked content

Background: The use of linked data in the Semantic Web is a promising approach to add value to nutrition research. An ontology, which defines the logical relationships between well-defined taxonomic terms, enables linking and harmonizing research output. To enable the description of domain-specific output in nutritional epidemiology, we propose the Ontology for Nutritional Epidemiology (ONE) according to authoritative guidance for nutritional epidemiology. Methods: Firstly, a scoping review was conducted to identify existing ontology terms for reuse in ONE. Secondly, existing data standards and reporting guidelines for nutritional epidemiology were converted into an ontology. The terms used in the standards were summarized and listed separately in a taxonomic hierarchy. Thirdly, the ontologies of the nutritional epidemiologic standards, reporting guidelines, and the core concepts were gathered in ONE. Three case studies were included to illustrate potential applications: (i) annotation of existing manuscripts and data, (ii) ontology-based inference, and (iii) estimation of reporting completeness in a sample of nine manuscripts. Results: Ontologies for food and nutrition (n = 37), disease and specific population (n = 100), data description (n = 21), research description (n = 35), and supplementary (meta) data description (n = 44) were reviewed and listed. ONE consists of 339 classes: 79 new classes to describe data and 24 new classes to describe the content of manuscripts. Conclusion: ONE is a resource to automate data integration, searching, and browsing, and can be used to assess reporting completeness in nutritional epidemiology

Educational Assessment in Emerging Areas of Design: Toward the Development of a Systematic Framework Based on a Study of Rubrics

This paper presents a formative study that investigates the perceived effectiveness of rubrics as assessment tools by communication and industrial design educators and first year design students in the context of a design studio. The project is motivated by the increasing challenge of assessing subjective and intangible attributes that are associated with the teaching of emerging areas in design, and society’s growing need for measurable results. The goal of this project is to shed light on the perceived successes and failures of a specific assessment tool, known as a rubric, and use this information to improve students’ and educators’ understanding, value, and use of assessment tools. Based on the characteristics of the emerging design landscape, this paper argues the importance of assessments and the need for their improvement. It explains the construction of three assessment forms that are based on successful models used in other disciplines. This paper describes how the forms were used throughout the semester to provide an overview of course objectives and assess individual projects. It explains the contents of a questionnaire and describes how it was used at the end of the semester to evaluate students’ perceptions of the assessments forms. Feedback gained from the instructors indicated that rubrics were not more efficient than other forms of assessment but did aid the assessment of intangibles and did not reduce students’ creativity. The results of the questionnaire showed that students perceived the attributes of rubrics more positively than other forms of assessment but still favoured handwritten comments. These findings informed the proposal of a set of considerations that should be taken into account when creating assessment forms for use in classrooms that focus on emerging areas of design. They describe the importance of personal comments, clear terminology, a planned introduction of the tool, and an open-mind. Keywords: Rubrics; Assessment; Evaluation; Pedagogy; Education; Learning; Feedback.</p