The study reported here investigates the use and effectiveness of mobile applications in English vocabulary learning. Vocabulary acquisition is an important part of language learning. The advancement in technology has greatly improved the existing setting in education world in recent years. The wide use of mobile wireless technologies also has created more opportunities to shift the traditional academic environment to mobile learning. Interactive multimedia is a great avenue for the communication and education. This research studies intermediate-level English learners’ performance before and after using mobile applications that were introduced to the study group as an intervention. It examines whether multimedia courseware affects the vocabulary learning in the second language acquisition. The quantitative data revealed positive change in learners’ performance and the questionnaire analysis indicated that using the applications helped enhance learning of vocabulary, confidence, class participation and that, students had a positive tendency toward the use of multimedia in education.
Automatic methods of ontology alignment are essential for establishing interoperability across web services. These methods are needed to measure semantic similarity between two ontologies' entities to discover reliable correspondences. While existing similarity measures suffer from some difficulties, semantic relatedness measures tend to yield better results; even though they are not completely appropriate for the 'equivalence' relationship (e.g. "blood" and "bleeding" related but not similar). We attempt to adapt Gloss Vector relatedness measure for similarity estimation. Generally, Gloss Vector uses angles between entities' gloss vectors for relatedness calculation. After employing Pearson's chi-squared test for statistical elimination of insignificant features to optimize entities' gloss vectors, by considering concepts' taxonomy, we enrich them for better similarity measurement. Discussed measures get evaluated in the biomedical domain using MeSH, MEDLINE and dataset of 301 concept pairs. We conclude Adapted Gloss Vector similarity results are more correlated with human judgment of similarity compared to other measures.
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