胜任力模型在定义方面界定胜任特征外文中英文翻译.doc

胜任力模型在定义方面界定胜任特征外文翻译 Competency model in a semantic context: Meaningful competencies Material Source:Vrije Universiteit Brussel Author:Christiaens In this paper, we will propose our ideas for a semantically ready competency model. The model will allow semantic enrichment on different levels, creating truly meaningful competencies. The aim of this model is to provide a flexible approach for reuse, matching, interpretation, exchange and storage for competencies. Our competency model is based on the DOGMA ontology framework and the proposed IEEE standards RCD and SCRM. We will focus on the model itself and how semantics can be applied to it as these elements form the basis for any kind of processing on them. Keywords:competence,competency, RCD, semantics, DOGMA, e-HRM, HRM, occupation, ontology, Semantic Web. On the highly volatile job market that we are living in at this moment, getting a good match between a CV and a job opening is a key problem. The main element in this matching process is shifting from monolythic function titles to functions built with minimalistic, descriptive and highly-reusable competency building blocks. Such a bunch of small information pieces put together allows for a far more detailed and closely fitting match. Both a person and a function can be seen as a grouping of competencies and fitting one with the other becomes a matter of comparing these collections of building blocks. What is still missing in this picture, is the exact view of a competency and a group of competencies. What identifies a competency? How do you describe it? How can we identify the intended meaning of a competency? And how do you put competencies together in a meaningful and clear manner? These are the kind of questions that we try to answer in our model of meaningful competencies. A short look at the current state-of-the-art with these questions in mind results only in partial answers. The HR-XML consortium provides a schema for competency descr