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Progression in digital technology and the fame of social media sites such as Facebook, YouTube, Flickr etc., necessitate sharing memories. This results in a colossal amount of multimedia content such as text, audio, photographs and video on the web. Retrieving photographs exclusively from web in the large collection is a challenging task. One way to retrieve photographs is by identifying them as events. The automatic organization of a multimedia collection into groups of items, where each group corresponds to a distinct event is described as Social Event Detection (SED). Contextual information, present for each photograph in social media adds semantics to the photographs. For semantic based retrieval, ontology based approaches yield good retrieval results, by reducing the number of false positives. So, the proposed approach moves with domain ontology construction followed by a hybrid clustering approach. Compared to the existing single-pass incremental clustering algorithm, the proposed approach ensures a good f-measure of 0.8608.

Since the Universal Declaration of Human Rights, the United Nations have brought various policies and conventions to support minorities across the world, including differently-abled persons.  However, we are not where we are today without the contributions of numerous countries, developmental organizations and non-government institutions. For instance, we've the UN proposed Sustainable Development Goals (SDGs) and Millennium Development Goals (MDGs) that promote  quality and equality in education for all, with zero rejection and discrimination, including those against children with disability (CWD). This paper systematically maps the existing literature on the perception of in-service teachers towards including CWD in a regular classroom with the challenges faced by teachers toward facilitating a uniform approach to education for all amid shortage of relevant skills and resources. Future implications and recommendations are also discussed in the paper.

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