642,139 research outputs found
Psychiatry and psychoanalysis: A conceptual mapping.
The contemporary relevance of psychoanalysis is being increasingly questioned; Off the Couch challenges this view, demonstrating that psychoanalytic thinking and its applications are both innovative and relevant, in particular to the management and treatment of more disturbed and difficult to engage patient groups. Chapters address:
Clinical applications in diverse settings across the age range.
The relevance of psychoanalytic thinking to the practice of CBT, psychosomatics and general psychiatry
the contribution of psychoanalytic thinking to mental health policy and the politics of conflict and mediation.
This book suggests that psychoanalysis has a vital position within the public health sector and discusses how it can be better utilised in the treatment of a range of mental health problems. It also highlights the role of empirical research in providing a robust evidence base.
Off the Couch will be essential reading for those practicing in the field of mental health and will also be useful for anyone involved in the development of mental health and public policies. It will ensure that practitioners and supervisors have a clear insight into how psychoanalysis can be applied in general healthcare
Some issues in data model mapping
Numerous data models have been reported in the literature since the early 1970's. They have been used as database interfaces and as conceptual design tools. The mapping between schemas expressed according to the same data model or according to different models is interesting for theoretical and practical purposes. This paper addresses some of the issues involved in such a mapping. Of special interest are the identification of the mapping parameters and some current approaches for handling the various situations that require a mapping
A mapping from conceptual graphs to formal concept analysis
A straightforward mapping from Conceptual Graphs (CGs)
to Formal Concept Analysis (FCA) is presented. It is shown that the
benefits of FCA can be added to those of CGs, in, for example, formally
reasoning about a system design. In the mapping, a formal attribute
in FCA is formed by combining a CG source concept with its relation.
The corresponding formal object in FCA is the corresponding CG target concept. It is described how a CG, represented by triples of the
form source-concept, relation, target-concept, can be transformed into
a set of binary relations of the form (target-concept, source-concept a
relation) creating a formal context in FCA. An algorithm for the transformation is presented and for which there is a software implementation.
The approach is compared to that of Wille. An example is given of a
simple University Transaction Model (TM) scenario that demonstrates
how FCA can be applied to CGs, combining the power of each in an
integrated and intuitive way
Towards ontology interoperability through conceptual groundings
Abstract. The widespread use of ontologies raises the need to resolve heterogeneities between distinct conceptualisations in order to support interoperability. The aim of ontology mapping is, to establish formal relations between a set of knowledge entities which represent the same or a similar meaning in distinct ontologies. Whereas the symbolic approach of established SW representation standards – based on first-order logic and syllogistic reasoning – does not implicitly represent similarity relationships, the ontology mapping task strongly relies on identifying semantic similarities. However, while concept representations across distinct ontologies hardly equal another, manually or even semi-automatically identifying similarity relationships is costly. Conceptual Spaces (CS) enable the representation of concepts as vector spaces which implicitly carry similarity information. But CS provide 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 first-order logic 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 between instances across distinct ontologies is supported in order to facilitate ontology mapping
Ontology-driven conceptual modeling: A'systematic literature mapping and review
All rights reserved. Ontology-driven conceptual modeling (ODCM) is still a relatively new research domain in the field of information systems and there is still much discussion on how the research in ODCM should be performed and what the focus of this research should be. Therefore, this article aims to critically survey the existing literature in order to assess the kind of research that has been performed over the years, analyze the nature of the research contributions and establish its current state of the art by positioning, evaluating and interpreting relevant research to date that is related to ODCM. To understand and identify any gaps and research opportunities, our literature study is composed of both a systematic mapping study and a systematic review study. The mapping study aims at structuring and classifying the area that is being investigated in order to give a general overview of the research that has been performed in the field. A review study on the other hand is a more thorough and rigorous inquiry and provides recommendations based on the strength of the found evidence. Our results indicate that there are several research gaps that should be addressed and we further composed several research opportunities that are possible areas for future research
Translating Conceptual Metaphor: The Processes of Managing Interlingual Asymmetry
Encountered at all levels of language, conceptual asymmetries between source and target languages present translators with fundamental challenges that require problem awareness, problem identification and problem solving. A case in point is conceptual metaphor in translation. Versions of conceptual metaphor theory have been applied in various productoriented studies of how translators deal with the challenge of metaphor in translation. However, there is potential in combining product-oriented approaches with techniques used to access translators’ cognitive processes, although process-oriented studies on how conceptual metaphor is re-conceptualised or re-mapped in translation are still rare. Building on an exploratory study carried out at our institute, in which findings from translation process data suggest that experience and/or training appears to be a main factor in handling conceptual metaphor, we present some salient features of re-mapping metaphor. Triangulating data from target-text products, keystroke logs and retrospective verbal commentaries collected under very similar conditions in a laboratory setting, we analyse how translators at different levels of experience handle two complex conceptual metaphors. The results appear to suggest that complex metaphor might indeed be culturespecific. They also potentially indicate that re-mapping practices are a function of experience and that re-mapping to a source-language target domain could create more uncertainty than generic-level re-mapping. Both findings hold pedagogical implications, which are discussed together with some methodological issues
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Ontological Foundations for Scholarly Debate Mapping Technology
Mapping scholarly debates is an important genre of what can be called Knowledge Domain Analytics (KDA) technology – i.e. technology which combines both quantitative and qualitative methods of analysing specialist knowledge domains. However, current KDA technology research has emerged from diverse traditions and thus lacks a common conceptual foundation. This paper reports on the design of a KDA ontology that aims to provide this foundation. The paper then describes the argumentation extensions to the ontology for supporting scholarly debate mapping as a special form of KDA and demonstrates its expressive capabilities using a case study debate
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