Search results for "Subject-matter expert"
showing 10 items of 11 documents
The role of civil society organisations in European responsible research and innovation
2018
EC policy reveals a strong conviction that CSO’s main function in EU-funded research and innovation projects is to take care of the ‘societal perspective’, which would not be adequately represented otherwise. With this, CSOs are supposed to be the main advocates of RRI in project consortia and are supported by all kinds of EC policy measures to fulfil this role. This conviction is not only problematic due to definition problems concerning CSO as such. Empirical data about the role of CSOs in high-tech/high-innovation research projects and the distribution of RRI activities among consortia members reveal that the role of CSOs is much more multi-faceted (data providers, providers of access to…
A Study Regarding the Use of Expert Systems in Economics Field
2013
Abstract Expert systems simulate the formal reasoning of human expert in a narrow field like stock trading. The traditional method is using IF-THEN rules. Nowadays, Belief Rule Base (BRB) expert systems are capable to perform reasoning based both qualitative and quantitative information. The paper presents a SWOT analysis of expert systems, emphasizing the opportunities the use of expert systems offers to economics field. Using expert systems in economics field provides strategic benefits like: competitive financial advantages, investment advisory, better organisation of workflow, back-up for key experts, training tool for new employees, diagnosis of critical aspects, prognosis of economic …
Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules
2021
The production of European silk textile is an endangered intangible cultural heritage. Digital tools can nowadays be developed to help preserving it, or even to make it more accessible for the public and the fashion industry. In this paper, we propose an image-based retrieval tool that leverages on a knowledge graph describing the silk textile production as well as rules formulated by experts of this domain. Out of several possible similarity scenarios, two have proven to work best and have been integrated into an exploratory search engine.
Mental contents in interacting with a multiobjective optimization program
2008
User psychology aims at understanding human-machine interaction from a psychological point of view. Its ultimate goal is to provide knowledge about human psychological properties for interaction designers. In this article, we are particularly interested in applying the theoretical concepts of mental contents (i.e., the information contents of users’ mental representations), in studying interaction with professional software. The immediate motivation for adopting such an approach arises from problems met in designing interaction processes in multiobjective optimization software. These types of software are meant to support complex thought and decision-making processes and this is why interac…
Prospective mathematics teachers’ self-referential metaphors as indicators of the emerging professional identity
2019
Ideals play a key role in a student teachers’ identity work. They form targets to strive for and a mirror for reflection. In this paper, we examine Finnish mathematics student teachers’ metaphors for the teacher’s role (N= 188). We classified the metaphors according to a model that identified teachers as subject matter experts, didactical experts, and pedagogical experts, with the addition of another two categories, self-referential and contextual. For the exploration of emerging professional identities, we studied the self-referential metaphors, which formed the most common category in the data. We observed that every third metaphor described either student teachers’ personalities or their…
User participation in knowledge update of expert systems
1997
Abstract Applying the Elaboration Likelihood Model (ELM) of persuasion we conducted an experiment to examine the effect of participation of users in the design process on their acceptance of system recommendations and revision of their original decisions. Results of our study indicate that two different types of information processing occur when subjects are reviewing the expert system recommendations. 1. (i) For users who have a high perceived level of participation in updating the knowledge of the ES, ambiguity of the decision setting is the primary determinant affecting acceptance of the recommendation from the ES. 2. (ii) For users who have a low perceived level of participation in upda…
The role of standard software packages in mediating management accounting knowledge
2006
PurposeThis paper aims to analyse how cost accounting knowledge is mediated in a large multinational organisation employing a company‐wide enterprise resource planning system and off‐the‐shelf activity based costing software to create a uniform profitability management system within the organisation.Design/methodology/approachThe case analysis is informed by the theoretical notions of dis‐and re‐embedding of expert knowledge, expert systems and standards.FindingsThe results indicate that standardised cost accounting software packages may be useful not only because of their superior data processing properties and technical efficiency, but also because of their usability in overcoming resista…
Knowledge Extraction from Healthcare Data Using User-Adaptable Keywords-Based Query Language
2020
Nowadays, the volume of the information gathered by any organization increases more and more rapidly. It is essential to be able to use this information efficiently for it to benefit the operation of the organization. There is no point of gathering the information if it is not converted into knowledge. The knowledge extraction process becomes the backbone of any successful organization. Moreover, the extraction of the knowledge must be quick and efficient, so that the newly-obtained knowledge can be put in use at once. The problem addressed in this paper is how to allow the domain expert to extract the knowledge from their information systems themselves without involving the third party in …
Domain Expert Platform for Goal-Oriented Dialog Collection
2021
Today, most dialogue systems are fully or partly built using neural network architectures. A crucial prerequisite for the creation of a goal-oriented neural network dialogue system is a dataset that represents typical dialogue scenarios and includes various semantic annotations, e.g. intents, slots and dialogue actions, that are necessary for training a particular neural network architecture. In this demonstration paper, we present an easy to use interface and its back-end which is oriented to domain experts for the collection of goal-oriented dialogue samples. The platform not only allows to collect or write sample dialogues in a structured way, but also provides a means for simple annotat…
Using Hierarchies to Adapt Domain Analysis to Software Development
2001
Software development strives toward increasing the amount and quality of the software and at the same time decreasing the costs and development time. One approach to achieve these diverse goals is the systematic software reuse (Biggerstaff and Richter, 1987). In the reuse-oriented software development the key success factor is domain analysis (DA) (Arango, 1989; Lam and McDermid, 1997; Prieto-Diaz, 1994). DA is a process through which information used in software development is identified, captured, and organized with the purpose of making it reusable when creating new systems (Prieto-Diaz, 1990). While the traditional development methods (e.g., Jaaksi et al.,1999; Jacobson et al., 1999) fo…