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In this paper, we present a domain specific search engine that relies on extracting the semantic relation among medical documents. Our goal is to maximize the contextual retrieval and ranking performance with minimum input from users. We have performed experiments to measure the effectiveness of the proposed technique by evaluating the performance of the retrieval process in terms of recall, precision...
Many approaches of terminology extraction make use of contextual information to acquire relations between terms. The quality and the quantity of this information influence the accuracy of the terminology extractor. In this paper, we assume that logical structure of documents constitute a rich source of contextual information which can be used to infer semantic relations between terms and thus construct...
Now a day's video blogs are playing an important role. To effectively manage the vlogs and make them more conveniently accessible for users is a challenging problem. In this paper we proposed a novel vlog management model which is consists of two stages: annotation and search. In Vlog annotation, we extract informative keywords not only from the textual content of the target vlog itself but also from...
Traditionally information retrieval consists mainly of determining which documents of a collection contain the keywords in the user query. However, a growing number of tasks, especially those related to Semantic Web technologies and applications rely on accurately measuring the similarity between documents and online texts. Instead of giving the absolute similarity degree of two documents, this paper...
Aiming at the problem of the "semantic gap" and the "dimensionality curse", this paper discussed the model of cross-media retrieval. The methods of feature extraction and fusion of multimedia were given for processing high-dimensional data, and a nonlinear hybrid classifier based on support vector hidden Markov models was design for implementation semantic mapping and learning...
If software engineering tools are not "properly integrated", they can reduce engineers' productivity. Associating and retrieving information scattered across the tools become unsystematic and inefficient. Our work provides empirical evidence on what is a "poor" and a "proper" tool integration, focusing on practitioners' perspectives. We interviewed 62 engineers and analyzed...
In this paper an approach based on Wikipedia link structure for sense disambiguation is presented and evaluated. Wikipedia is used as a reference to obtain lexicographic relationships and in combination with statistical information extraction it is possible to deduce concepts related to the terms extracted from a corpus. In addition, since the corpus covers a representation of a part of the real world...
Techniques for automatic annotation of spoken content making use of speech recognition technology have long been characterized as holding unrealized promise to provide access to archives inundated with undisclosed multimedia material. This paper provides an overview of techniques and trends in semantic speech retrieval, which is taken to encompass all approaches offering meaning-based access to spoken...
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