For the automatic extraction of protein-protein interaction information from scientific articles, a machine learning approach is useful. The classifier is generated from training data represented using several features to decide whether a protein pair in each sentence has an interaction. Such a specific keyword that is directly related to interaction as "bind" or "interact" plays an important r...

In this paper, a new hybrid approach is presented for keyword spotting. The proposed Method is based on Hidden Markov Mode (HMM) and is performed in two stages. In the first stage by using phoneme models, a series of candidate keyword(s) is recognized. In the second stage, word models are used to decide on acceptance or rejection of each candidate keyword. Two different methods are presented in...

In software maintenance, cohesion plays very major role to determine the relationship among different software attributes such as class, method, function-type etc. There are many method have been used in this context such as method based on syntactically keyword count in source code. We have used the semantic value computation for the specific keyword occurs in distinct common method within the...

We introduce a new information architecture that is a synthesis of an information structure, information flow (e.g. narrative), and information dialectic (its evolution). Insights from the memory mnemonic the method of loci and the philosophical process of dialectic are introduced. Three cumulative syntheses are presented: the organic architecture with (1) the hierarchical architecture with (2)...