Khaled Shaalan

Publications (84) View all

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  Available from: Khaled Shaalan

  Conference Proceeding: Using E-learning for helping children with diabetes

  M. Al-Mansoori, K. Shaalan, H. Tawfik
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  ABSTRACT: Diabetes is a common and costly condition disease that is associated with significant morbidity and mortality. Recent studies have shown remarkable increases in diabetes during the last decade. This has attracted many researchers and doctors to investigate e-learning technologies as a way of assisting people with diabetes. However very little work exist that focus on educating children to adopt healthy lifestyle. As a result, this research work aims to create awareness of diabetes among children, and thereby, ultimately contribute to reducing the growing rate of diabetes. This paper presents an investigation into E-Learning systems and how it can help people with diabetes, especially when it comes to children who are largely unaware and poorly informed about the menace of the disease. This research addresses children' needs expectations, and proposes a design of an E-Learning prototype that can raise their awareness and knowledge in order to help reduce the effects of this disease on children.
  Innovations in Information Technology (IIT), 2011 International Conference on; 05/2011
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  Conference Proceeding: Context-aware knowledge modelling for decision support in e-health

  O. Anya, H. Tawfik, S. Amin, A. Nagar, K. Shaalan
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  ABSTRACT: In the context of e-health, professionals and healthcare service providers in various organisational and geographical locations are to work together, using information and communication systems, for the purpose of providing better patient-centred and technology-supported healthcare services at anytime and from anywhere. However, various organisations and geographies have varying contexts of work, which are dependent on their local work culture, available expertise, available technologies, people's perspectives and attitudes and organisational and regional agendas. As a result, there is the need to ensure that a suggestion - information and knowledge - provided by a professional to support decision making in a different, and often distant, organisation and geography takes into cognizance the context of the local work setting in which the suggestion is to be used. To meet this challenge, we propose a framework for context-aware knowledge modelling in e-health, which we refer to as ContextMorph. ContextMorph combines the commonKADS knowledge modelling methodology with the concept of activity landscape and context-aware modelling techniques in order to morph, i.e. enrich and optimise, a knowledge resource to support decision making across various contexts of work. The goal is to integrate explicit information and tacit expert experiences across various work domains into a knowledge resource adequate for supporting the operational context of the work setting in which it is to be used.
  Neural Networks (IJCNN), The 2010 International Joint Conference on; 08/2010
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  Article: Nizar Y. Habash, Introduction to Arabic natural language processing (Synthesis lectures on human language technologies)

  Khaled Shaalan
  Machine Translation 04/2012; 24(3):285-289.
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  Chapter: Multilingual Information Filtering by Human Plausible Reasoning

  Asma Damankesh, Farhad Oroumchian, Khaled Shaalan
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  ABSTRACT: The theory of Human Plausible Reasoning (HPR) is an attempt by Collins and Michalski to explain how people answer questions when they are uncertain. The theory consists of a set of patterns and a set of inferences which could be applied on those patterns. This paper, investigates the application of HPR theory to the domain of cross language filtering. Our approach combines Natural Language Processing with HPR. The documents and topics are partially represented by automatically extracted concepts, logical terms and logical statements in a language neutral knowledge base. Reasoning provides the evidence of relevance. We have conducted hundreds of experiments especially with the depth of the reasoning, evidence combination and topic selection methods. The results show that HPR contributes to the overall performance by introducing new terms for topics. Also the number of inference paths from a document to a topic is an indication of its relevance.
  09/2010: pages 366-373;
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  Article: Rule-based Approach in Arabic Natural Language Processing

  Shaalan, Khaled
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  ABSTRACT: The rule-based approach has successfully been used in developing many natural language processing systems. Systems that use rule-based transformations are based on a core of solid linguistic knowledge. The linguistic knowledge acquired for one natural language processing system may be reused to build knowledge required for a similar task in another system. The advantage of the rule-based approach over the corpus-based approach is clear for: 1) less-resourced languages, for which large corpora, possibly parallel or bilingual, with representative structures and entities are neither available nor easily affordable, and 2) for morphologically rich languages, which even with the availability of corpora suffer from data sparseness. These have motivated many researchers to fully or partially follow the rule-based approach in developing their Arabic natural processing tools and systems. In this paper we address our successful efforts that involved rule-based approach for different Arabic natural language processing tasks.
  the International Journal on Information and Communication Technologies (IJICT). 06/2010; 3:11--19.