74 results for “ontology”

Set a search alert

Research ArticleOpen accessIn the abstractONCObc-ST: An Improved Clinical Reasoning Algorithm Based on Select and Test (ST) Algorithm for Diagnosing Breast CancerOlaide Nathaniel Oyelade, Sunday Adeyemi AdewuyiThe need for an accurate reasoning algorithm is usually necessitated by the sensitivity of domain of (medicine as example) application of such algorithms. Most reasoning algorithms for medical diagnosis are either limited by their techniques or accuracy and efficiency. Even the Select and Test (ST) algorithm which is considered a more approximate reasoning algorithm is also limited by its approach … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 15 Apr 2019 · 7,168 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDESIGN AND DEVELOPMENT OF A RECOMMENDER SYSTEM FOR E-LEARNING MODULESBaseera, SrinathExtensive literature review revealed that, different recommender systems for E-learning were developed. A preliminary version of the development was undertaken and evaluated in an experiment during an introduction psychology course in an open university. The activities were integrated in to a model which operates on a network. No curriculum structure was assigned and the users were allowed to undergo learning … …Journal of Computer Science, Vol. 10, Issue 5 · 26 Dec 2013 · 7,104 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCorpus-Based Analysis on Cross-Domain Experiments in Classification-and-Ranking GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: Overgeneration-and-ranking architecture works well in written language where sentence is the basic unit. However, in spoken language where utterance is the basic unit, the disadvantage becomes critical as spoken language also render intentions, hence short strings may be of equivalent impact. Approach: In classification-and-ranking, response was deliberately chosen from dialogue corpus rather than wholly generated, such that it … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,099 accessesView PDF Cite

Research ArticleOpen accessIn the abstractImproving Term Extraction Using Particle Swarm Optimization TechniquesMohammad Syafrullah, Naomie SalimProblem statement: Term extraction is one of the layers in the ontology development process which has the task to extract all the terms contained in the input document automatically. The purpose of this process is to generate list of terms that are relevant to the domain of the input document. In the literature there are many approaches, techniques and algorithms … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,139 accessesView PDF Cite