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In qualitative research, context is essential in order to observe and understand the phenomena of interest in a more holistic way. Emphasizing context in knowledge management (KM) initiatives helps managers choose the most suitable way to implement KM in accordance with their business strategies. This paper integrates the concepts of context, Earl's (2001) seven schools of knowledge management (KM),...
The World Wide Web has a massive number of Web pages, making it difficult for users to find useful information accurately. Most Web search engines have been constructed by considering Web page content and link structure. Recently, the probabilistic language model has been developed to improve retrieval accuracy of Web searches. The probabilistic language model calculates probabilities of query terms...
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns and to extract knowledge from data. Online Analytical Processing (OLAP) systems, on the other hand, allow exploring and querying huge datasets in interactive way. These OLAP systems are the predominant front-end tools used...
One issue for context-aware applications is to identify without delay situations requiring reactions. The identification of these situations is computed from both dynamic context information and domain specific knowledge. This identification is the output of a process involving context interpretation, aggregation and deduction. In smart environments, these treatments have to be efficient since they...
The primary purpose of an information retrieval (IR) system is to retrieve all the relevant documents, which are relevant to the user query. Latent Semantic Indexing/Analysis (LSI/LSA) based ad hoc document retrieval task investigates the performance of retrieval systems that search a static set of documents using new questions. Performance of LSI has been tested by others for several smaller datasets...
The vast and rapid development in the computer, communication and Internet technologies has significantly affected contemporary educational systems. The wide utilization of technology, the abundance of information and knowledge, and the use of multimedia applications, create real challenges to present an efficient and attractive E-learning model that encompasses all these elements. Another dimension...
In medical qualitative research, medical researchers analyze historical patient data to verify known relationships and to discover unknown relationships among medical attributes. All the existing algorithms to solve this problem use measures which are asymmetric measure, so only one direction of the rule (P -> Q or Q->P) is taken into account. However, medical researchers are interested to find...
In this paper, we perform several experiments focusing on the problems of environment recognition from audio particularly for forensic application. We investigated the effect of temporal zero crossing feature and some selected MPEG-7 audio low level descriptors on environment sound recognition. The performance is evaluated against varying number of training sounds and samples per each training file...
Aspect Oriented Software Development (AOSD) is an emerging technology that improve existing paradigms of software development, by providing explicit mean to model crosscutting concern (aspect). However, the complexity of interactions among aspects and between aspects and base modules may reduce the value of aspect-oriented separation of cross-cutting concerns. Aspects must be identified as early possible...
In this paper, we are interested in content oriented XML information retrieval whose aim is to retrieve not a list of relevant documents, but only fragments of document (XML element) relevant to the user information need. Retrieved XML elements must not only contain relevant information but also be at good level of granularity. The coexistence of content and structural information in XML documents...
Conventional positive association rules are the patterns that occur frequently together. These patterns represent what decisions are routinely made based on a set of facts. Irregular association rules are the patterns that represent what decisions are rarely made based on the same set of facts. Many domains like Healthcare, Banking etc need the irregular rule to improve their system. In this paper,...
Recent research in measuring web content credibility automatically for text and multimedia have addressed many languages. Unfortunately, there is no research for credibility measurements of Arabic web content. Thus, this paper proposes a solution to automatically measure the credibility of Arabic web content. The automatic tool we present in this paper measures Arabic content credibility published...
FERP Mall is a proposed intermediary business model for marketing of distributed ERP component-based Web services. This FERP Mall aims to cover the needs of small and medium enterprises (SMEs) to FERP functionality because the conventional ERP systems are expensive and only large companies can afford these systems. Beside the intermediation of FERP Web Services these mediators describes the appropriate...
Nowadays, using web and Internet as a world wide information system faces us with so many data. In this direction, the necessity of accessing some tools for data processing in web level which helps the man intelligently to transform these data into useful knowledge seems so important. Clustering the web pages is one of these techniques. In this paper, a new algorithm has been represented to cluster...
Improving the relevancy of Web search results has been of increasing interest in recent years. The nature of the Web implies heterogeneity, large volumes, and varied structures. Hence, finding results that best suit the needs of every individual is a very challenging problem. Accordingly, interactive graphical and visualization techniques are suggested to increase the ability of the display to handle...
XML is becoming the de facto standard for exchanging and querying documents over the Web. Many XML query languages such as XQuery and XPath use label paths to traverse the irregularly structured XML data. Several labeling schemes have been proposed to identify the structural relationships in the tree, as well as to support the incremental updates at a low cost. In this paper, we conduct a comprehensive...
Adaptive hypermedia is a relatively new direction of research on the crossroads of hypermedia and user modeling. Until very recently, little attention has been given to the complex task of authoring materials for Adaptive Educational Hypermedia (AEH). An author faces a multitude of problems when creating a personalized, rich learning experience for each user. In this paper, we present an authoring...
In a set of access control policies, incompleteness is the existence of situations for which no policy applies. Some of these situations can be exploited by attackers, to obtain unintended access or to compromise integrity. Such cases can be difficult to foresee, since typical policy sets consist of thousands of rules. In this paper, we adopt data classification techniques widely used in the machine...
Existing evaluation methods either investigate whether ontologies are “fit for purpose”, or focus on evaluating consistencies of the data in regard to the axioms defined in the ontologies. In this paper, we focus on how to evaluate the consistency of ontology with respect to taxonomic relationships, and we suggest a new measure to evaluate the taxonomic consistency of an ontology. As the semantic...
Modeling a system by statistical methods needs large amount of data to train the system. In real life such data are sometimes not available or hard to collect. Modeling the system with small size database will produce a system with poor performance. In this paper we propose a method for increasing the size of the database. The method works by generating new samples from the original samples, using...
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