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This research study was basically aimed at addressing the current lack of Arabic support within majority of semantic web tools technologies and applications. It will also address the on-going problem of the lack of resources for Arabic research or semantic web technologies that support the Arabic text. While there may have already been various researches in the past that have been conducted in order...
Conceptual summarization aims to provide a database which comprises an abstraction of the entire document content. To effectively provide conceptual summarization, we have presented an approach that is used for conceptual querying. The approach is based on utilizing an ontology for similarity measure between concepts and the nearest neighborhood clustering algorithm for concepts clustering. The results...
This paper describes the work in measuring flow while interacting with multi-platform games interfaces. We identified different gaming platforms which are mobile and non-mobile platform. The objective of the study is to identify and measure the variation of flow in different platforms. The early pilot data are collected through a survey form that are designed based on GameFlow criteria. The GameFlow...
Assigning part of speech to running words in a sentence is one of the pipeline processes in Natural Language Processing (NLP) tasks. In this paper, a statistical POS tagger using trigram Hidden Markov Model for tagging Malay language sentences is examined. The problem of the tagger approach is to predict the POS for unseen words in the training corpus that can guess word's POS based on their surrounding...
This paper describes our overview on crime news retrieval system for Malaysian context. We discuss a framework of an Interactive Malaysia Crime News Retrieval System (i-JEN) from the perspective of technical possibilities. Our main objectives are to construct crime based event; investigate the use of crime based event in improving the classification and clustering; develop an interactive crime news...
Topic Detection and Tracking (TDT) refer to the technologies and techniques in analysing and handling the vast amount of information arriving continuously from the news stream. Some issues in news monitoring regarding interface design are considered. In this paper we present the techniques and works done in TDT domain. We discuss the named entities approach used in document representation and in user...
Retrospective news event detection (RED) has been studied for many years in order to discover previous unidentified events. There are ongoing works done to improve RED techniques such as distance measure and clustering approaches to overcome issues such as huge dimensionality of data. This paper discusses three major sequential stages in RED (data preprocessing, data representation and data organization)...
The identification of noun compound as multi-word lexical units is very important task in natural language processing applications that require some degree of semantic interpretation such as, machine translation, information retrieval and text summarization. In this paper, we used the hybrid method for extracting the noun compound from Arabic corpus that is based on linguistic knowledge and statistical...
The current classification of patent data that refers to the IPC (International Patent Classification) of the WIPO (World Intellectual Property Organization), deemed not reflect the classification of the field of ICT (Information & Communication Technology). ICT applications are usually included in sections G (Physics) and H (Electricity). This paper will evaluate the eight groupings of patents...
Friendster, Facebook, Twitter and many other microblogs have been introduced since 2004. These web 2.0 applications have become a powerful tool for communication. Each social web site has millions of users whose interact with each other regardless of their location and distance. Therefore, the mechanism of recommendation system for these sites is important for users to find suitable friends. Name...
Ontology modularization is an important part of ontology engineering for which the reduction of complexity and size of ontology, either breaks an ontology down to all the constituent parts(ontology partitioning) or extracts only a small part of the ontology(module extraction). The presented approach in this essay is concentrated on ontology partitioning. To have complete segments, we initially do...
Precisiated natural language is a new paradigm in soft computing based on information granulation. This paradigm is placed in central position of many investigations in the field of human machine interaction in these years. Precisited natural language addresses a model for dealing with vagueness of information and suggests a kind of knowledge representation, deduction and computational approach for...
Searching for person names has been very popular among users of information systems and search engines. Thus, the effectiveness, accuracy and appropriateness of search results are strongly emphasized. Information retrieval (IR) methods provide high impact in influencing the searching results. Efforts in improving the IR methods have been made due to the fact that names are not unique and have varieties...
The paper discusses about the need for an ontological approach for a clinical decision support system (CDSS) in an acute postoperative pain management (APPM) setting. The paper describes the current issues in APPM, namely prescribing and technical errors due to clinicians' negligence of local guidelines, lack of continuous education and confusion on responsibilities and roles. The paper reviews about...
Extracting non-taxonomic relations is one of the important tasks in the construction of ontology from the text. Most of current methods on identification and extraction of non-taxonomic relations is based on predicate representing relationships between two concepts, namely the relation between subject and object that occurs in a sentence. However, the number of relations that has been identified does...
Information systems should be designed to allow users to express their information requests in a simple way and to retrieve information that they consider as relevant to these requests. In order to fulfil these requirements, information system designers face many challenges w.r.t. selecting appropriate technologies and deciding on a modelling approach for their system. In this paper we present a conceptual...
Tendering processes involves tedious and complex procedures. In construction, analysing a collection of tender documents is complicated and demanding task which requires in depth knowledge of domain experts. Inconsistency information and lack of knowledge during decision-making process could trigger to wrong decision. In addition, vast amount of information is in unstructured forms need to be managed...
KM is a new field especially for the community college environment. The other thing is the knowledge in community college environment has not been captured, collaborated and managed systematically. Realizing the value and importance of KM approach the researcher has identified several goals to be achieved to come out with a viable KM framework to support the current activities of knowledge transfer...
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