Classifying images into a set of semantic categories that are meaningful to humans has proved to be a challenging and attractive problem in the field of content-based retrieval. Addressing this problem is typically based on the initial extraction of low-level features for the images and the subsequent application of a pattern recognition technique, to divide the feature space in a number of sub...

We are able to use many types of information available in the environment when categorizing or making inferences. This research explores how two types of information—perceptual and conceptual—may be used to different extents in different tasks. The method takes advantage of the distinction between animate and artifact categories. In two experiments, adult participants were given perceptual and ...

The process through which an insider to an organization can be described or classified is lined within the orthodox paradigm of classification in which an organization considers only subject with requisite employee criterion as insider to that organization. This is further clouded with the relative rigidity in operational security policies being implemented in organizations. Establishing invest...

This paper presents the results of a detailed literature review on enterprise resource planning (ERP) benefits, carried out according to the guidelines by Webster et al. (2002). The identified benefits are mapped onto previously identified benefit categories. Based on this mapping a list of literature gaps is identified and a three-dimensional conceptual benefit framework is developed. It is bu...

The increased development of Volunteered Geographic Information (VGI) and its potential role in GIScience studies raises questions about the resulting data quality. Several studies address VGI quality from various perspectives like completeness, positional accuracy, consistency, etc. They mostly have consensus on the heterogeneity of data quality. The problem may be due to the lack of standard ...

Conceptual models are aimed at providing formal representations of a domain. They are mainly used for the purpose of understanding and communicating about requirements for information systems. Conceptual modeling has acquired a large body of research dealing with the semantics of modeling constructs, with the goal to make models better vehicles for understanding and communication. However, it i...

A proper semantic representation of textual information underlies many natural language processing tasks. In this paper, a novel semantic annotator is presented to generate conceptual features for text documents. A comprehensive conceptual network is automatically constructed with the aid of Wikipedia which has been represented as a Markov chain. Furthermore, semantic annotator gets a fragment ...

Traditionally, higher academic education has favored the acquisition of individualized conceptual knowledge over context-independent procedural knowledge. Applied degrees, on the other hand, favor procedural knowledge. We present a conceptual model for classifying a business curriculum. This classification could inform discussion around the difficulties associated with issues such as assessment...