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The Holy Quran, due to its unique style and allegorical nature, needs special attention about searching and information retrieval issues. The legacy keyword searching techniques are incapable of retrieving semantically relevant verses. In this paper, we address the deficiencies of key word based searching and the
precision ratio and novelty ratio than that of web search engines. Based on case studies, we found that there are four main types of query suggestion within digital library environments, namely spelling suggestion, hot keyword suggestion, personalized suggestion and semantic suggestion. These approaches are, however, hardly to
combine folksonomy, keyword and facet-based retrieval methods to retrieve software requirements related to users' interests. We add semantic ontology and users' feedback to obtain better software requirements that satisfy users' preferences to enhance software requirements retrieval performance. Finally, we demonstrate the
In the World-Wide Web context, availability of software components increases the possibility of applying a reuse approach in software development. Thus, component retrieval is a key problem, both for software industry and for end-users. Several problems should be solved: components formalisms are very different from one source to another, knowledge for guiding components retrieval is often poor and...
Mind maps are used by millions of people. In this paper we present how information retrieval on mind maps could be used to enhance expert search, document summarization, keyword based search engines, document recommender systems and determining word relatedness. For instance, words in a mind map could be used for
result based on string matching keyword based. Precision and recall of this method is low. This research proposes subject name search based on document content using weighted ontology. Ontology is built from extracted term. Each term is given a weight based on the number of its relation. User query is expanded based on its
Test cases are one of the most important assets in the testing process. This paper presents the testing ontology based SWEBOK and software quality model. The management and retrieval of test cases will play a vital role in test cases reuse. The keyword-based, as well as facet-based retrieval cannot meet user's
(UDDI) was not designed to accommodate these emerging requirements. To solve the problems of storing QoS in UDDI and aggregating QoS values, three different approaches, namely type, keyword based and ontological approaches to model QoS tModel (technical model) have been proposed. The aim is to study these approaches and
The paper describes building systems for computational linguistics based on an approach to the image text comprehension. There had been suggested a set theoretical formalization for such type of systems using the fuzzy sense relationship. The possibilities of conceptual approach had been demonstrated on the solution examples of such tasks as searching for reference words, building lexical ontology...
. In this approach, first an ontology is constructed to standardize research keywords, and then a frequent item set with various degrees of support is extracted from the research proposals, based on the ontology. In their paper on Success of Multi Criteria Decision Support Systems: The Relevance of Trust, Maida, Maier
software engineering approaches.The OMG has defined a unified framework for reusable items (so-called ??assets??) descriptions. Even if this framework supports description of a large variety of components, it reduces retrieval aspects to keywords search without considering user??s profile and user??s need within the current
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