In this paper, we firstly describe a novel approach to calculate the Chinese sememe similarity based on the HowNet hierarchical sememe tree. When we calculate the sememe similarity, we not only take Semantic Distance, Node Depth and Semantic Coincidence Degree into consideration, but also propose two impact factors named Node Environment Dense (NED) and Node Layer Ratio (NLR) to optimize the ca...

In this paper, we describe our participation in the ImageCLEF 2015 Scalable Concept Image Annotation task. In this participation, we display our approach for an automatic image annotation by the use of an ontology-based semantic hierarchy handled at both learning and annotation steps. While recent works focused on the use of semantic hierarchies to improve concept detector accuracy, we are inve...

Most frameworks for utility elicitation assume a predefined set of features over which user preferences are expressed. We consider utility elicitation in the presence of subjective or user-defined features, whose definitions are not known in advance. We treat the problem of learning a user’s feature definition as one of concept learning, but whose goal is to learn only enough about the concept ...

Object-oriented analysis methods can incorporate the concept of constraints to express rules of the problem domain in the specification model, restricting the possible instances of the model. As such, constraints describe properties that must be true at each moment in time for the entire system, without determining how they are to be preserved. The ways in which these constraints are introduced...

Mitchell's version-space approach to inductive concept learning has been highly influential in machine learning, as it formalizes inductive concept learning as a search problem—to identify some concept definition out of a space of possible definitions. This paper lays out some theoretical underpinnings of version spaces. It presents the conditions under which an arbitrary set of concept definit...

Conceptual Graphs are a very powerful knowledge and meaning representation formalism grounded on deep philosophical, linguistic and object oriented principles [1], [2]. Concerning geographic knowledge representation and matching, the study and analysis of geographic concept definitions plays an important role in deriving systematic knowledge about concepts and comparing geographic categories in...

Explanation-based generalization (EBG) is a powerful approach to concept formation in which a justifiable concept definition is acquired from a single training example and an underlying theory of how the example is an instance of the concept. Soar is an attempt to build a general cognitive architecture combining general learning, problem solving, and memory capabilities. It includes an independ...

The purpose of this paper is to develop and illustrate a performance-centered design (PCD) methodology for finding the underlying structure of ill-defined processes and problems. The context for our theoretical exposition is the fuzzy front-end of new product development (NPD). Within the NPD process, front-end concept definition and selection is central to a firm’s innovation capability becaus...