Hend Suliman Al-Khalifa

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Folksonomies provide a free source of keywords describing web resources, however, these keywords are free form and unstructured. In this paper, we describe a novel tool that converts folksonomy tags into semantic metadata, and present a case study consisting of a framework for evaluating the usefulness of this metadata within the context of a particular(More)
Sentiment analysis is the process of identifying the polarity of sentiments held in opinions found in pieces of text and classifying them as positive, negative or neutral. In this paper, we propose the implementation of a sentiment analysis tool that is conducted over text found in Arabic new media including web forums, comments on newspaper articles and(More)
Metadata attempts to describe the content, format, purpose and structure of data. Over the past few years, the IEEE-LOM standard has dominated the metadata world in e-learning applications. However, with the advent of the Semantic Web, e-learning applications are beginning to evolve their metadata representation from these standards by adding semantic(More)
In this paper a barcode-based system to help the visually impaired and blind people identify objects in the environment is introduced. The system is based on the idea of utilizing QR codes (two-dimensional barcode) affixed to an object and scanned using a camera phone equipped with QR reader software. The reader decodes the barcode to a URL and directs the(More)
This paper reports on an ongoing research project to create educational semantic metadata out of folksonomies. The paper describes a simple scenario for the usage of the generated semantic metadata in teaching, and describes the 'FolksAnnotation' tool which applies an organization scheme to tags in a specific domain of interest. The contribution of this(More)
Folksonomies provide a free source of keywords describing web resources; however, these keywords are free form and their semantics spans multiple contextual dimension. In this paper, we present a pragmatic experiment that analyzes folksonomies using three classification categories: <i>Personal</i>, <i>Factual</i> and <i>Subjective</i>, in order to gain more(More)
In online learning, there is a need to create more effective interaction between e-learning content and learners. In particular, increasing the learners' motivation by stimulating their interests is very important. However, for any e-learning system to be effective, the knowledge transfer must occur in a usable, accessible, and functional manner. Eye(More)