Md Zia Ullah

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In this paper, we describe our participation in the Image-CLEF 2014 Scalable Concept Image Annotation task. In this participation , we propose a novel approach of automatic image annotation by using ontology at several steps of supervised learning. In this regard, we construct tree-like ontology for each annotating concept of images using WordNet and(More)
The explosive growth of image data on the web leads to the research and development of visual information retrieval systems. However , these visual contents do not allow user to query images using semantic meanings. To resolve this problem, automatically annotating images with a list of semantic concepts is an essential and beneficial task. In this paper,(More)
In this paper, we describe our participation in the Image-CLEF 2015 Scalable Concept Image Annotation task. In this participation , we propose an approach of image annotation by using ontology at several steps of supervised learning with noisy unlabeled data. In this regard, we construct tree-like ontology for each annotating concept of images using WordNet(More)
Users express their information needs in terms of queries in search engines to find some relevant documents on the Internet. However, search queries are usually short, ambiguous and/or underspecified. To understand user's search intent, subtopic mining plays an important role and has attracted attention in the recent years. In this paper, we describe our(More)
In this paper, we describe our participation in the CLEF eHealth 2016 task 3: Patient-Centred Information Retrieval focusing on the clinical web documents based on user queries in the health forum. In our participation, we submitted three runs in ad-hoc search and two runs in query variation search subtasks. In ad-hoc search, the main challenge is to(More)
With vast amounts of medical knowledge available on the Internet, it is becoming increasingly practical to help doctors in clinical diagnostics by suggesting plausible diseases predicted by applying data and text mining technologies. Recently, Genome-Wide Association Studies (<i>GWAS</i>) have proved useful as a method for exploring phenotypic associations(More)
In this paper, we describe our participation in the English Subtopic Mining and Document Ranking subtasks of the NTCIR-11 IMINE Task. In the Subtopic Mining subtask, we mine subtopics from query suggestions, query dimensions, and Freebase entities of a given query, rank them based on their importance for the given query, and finally construct a two-level(More)
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