We study unsupervised classification of text documents into a taxonomy of concepts annotated by only a few keywords. Our central claim is that the structure of the taxonomy encapsulates background knowledge that can be exploited to improve classification accuracy. Under our hierarchical Dirichlet generative model for the document corpus, we show that the unsupervised classification algorithm pr...

The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal strategic patterns which we call restrictive rules. These restrictive rules must be protected before sharing since they are paramount for strategic decisions and need to remain private. To address this challenging problem, we propos...

We revisit the design space of visualizations aiming at identifying and relating its components. In this sense, we establish a model to examine the process through which visualizations become expressive for users. This model has leaded us to a taxonomy oriented to the human visual perception, a conceptualization that provides natural criteria in order to delineate a novel understanding for the ...

It is important to represent the contents of WWW in a structure which can render interpretability to both human and machine and make the WWW, semantic. Thus some taxonomy is needed to make representations of the web contents which can be machine readable and usable .This taxonomy can be thought of as ontology. This paper describes how RDF and RDF-S can act as a basic support to Web ontology lan...

Icons, or pictorial and graphical objects, are commonly used in human-computer interaction (HCI) fields as the mediator in order to communicate information to users. Yet there has been little studies focusing on a majority of the world’s population – semi-literate communities – in terms of the fundamental knowhow for designing icons for such population. In this study, two sets of icons belongin...

Software development managers recognize that project teams need to be developed and managed. Although technical skills are necessary, non-technical (NT) skills are equally necessary for project success. There are several tools that assist in measuring the effectiveness of the technical skills that teams use to perform projects, but there are no proven tools to measure the NT skills of software ...

For more than a century, artificial lighting has served mainly for illumination. Only recently, we start to transform our lighting infrastructure to provide new services such as indoor localization and network connectivity. These innovative advancements rely on two key requirements: the ability to modulate light sources (for data transmission) and the presence of photodetectors on objects (for ...

Detection of trends is important in a variety of areas. Scientific research is no exception. While several methods have been proposed for trend detection, we argue that there is value on using semantics-based techniques. In particular, we demonstrate the value of using a taxonomy of topics together with data extraction to create a dataset relating publications to topics in the taxonomy. Compare...

Decision Support System (DSS) are interactive software systems that are built to assist the management of an organization in the decision making process when faced with nonroutine problems in a specific application domain. Non-functional requirements (NFRs) for a DSS deal with the desirable qualities and restrictions that the DSS functionalities must satisfy. Unlike the functional requirements,...

The use of hierarchical taxonomies to organise information (or sets of objects) is essential to the semantic web and is also fundamental to many aspects of web 2.0. In most cases, the seemingly crisp granulation of a taxonomy disguises the fact that categories are based on loosely defined concepts which are better modelled by allowing graded membership. Fuzzy categories may also arise when inte...