نتایج جستجو برای: explicit knowledge
تعداد نتایج: 654238 فیلتر نتایج به سال:
This paper redefines the epistemological aspects of information and knowledge with emphasis on the role of context on these two concepts. Whether the context has an explicit or implicit impact, its role in the lifecycle of data and knowledge in the scientific literature has been discussed. Different views of researchers from different scientific areas especially in knowledge and information sci...
knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. the km strategy selection is a complex decision that requires consideration of several factors. for evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. the identified factors and their impact on kno...
In this paper, we describe our query expansion approach submitted for the Semantic Enrichment task in Cultural Heritage in CLEF (CHiC) 2012. Our approach makes use of an external knowledge base such as Wikipedia and DBpedia. It consists of two major steps, concept candidates generation from knowledge bases and the selection of K-best related concepts. For selecting the K-best concepts, we ranke...
Theory suggests that effective real-time decision-making in classrooms requires teachers to have flexible access rich and well-organised knowledge of teaching practices. Yet prior research on the role importance procedural has been equivocal. This exploratory study used a new video measure examine relationships with observed classroom quality, establish which opportunities learn (qualifications...
In recent years supervised representation learning has provided state of the art or close to the state of the art results in semantic analysis tasks including ranking and information retrieval. The core idea is to learn how to embed items into a latent space such that they optimize a supervised objective in that latent space. The dimensions of the latent space have no clear semantics, and this ...
Manually labeling documents for training a text classifier is expensive and time-consuming. Moreover, a classifier trained on labeled documents may suffer from overfitting and adaptability problems. Dataless text classification (DLTC) has been proposed as a solution to these problems, since it does not require labeled documents. Previous research in DLTC has used explicit semantic analysis of W...
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