Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.
New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction. - Provides innovative approaches and new developments targeting key issues in protein function prediction - Presents heuristic ideas for further research in this challenging area
This empirical study examines the learning problem of the argument structure of psych predicates such as «The dog frightens John» and the related V-ing adjectives such as «The dog is frightening to John». The problem is theoretically interesting because of the marked nature of the thematic role mapping of these sentences in relation to the principle of the Uniformity of Theta Assignment Hypothesis (UTAH). The problem is highly relevant to our understanding of second language acquisition, as this is known to be a prevalent difficulty among language learners. The author has framed the learning problem within a coherent parametric framework drawing on a sophisticated critical review of the syntax/semantics literature and theories of L2 development. The author has specifically developed a theory, the «Semantic Salience Hierarchy Model» (SSHM), to explain the learning process. The significance of the model is not confined only to this particular study, as the issues related to the L2 acquisition of other causative verbs can also be examined within this model. The findings of this study also bear implications to TESOL.
One of the earliest literary works of mankind is in the form of fables. Bedside stories told to children by mothers or grannies contained a great deal of fables. Fables are made up of amusing anecdotes which are interesting, educational, thought-provoking, delightful and enjoyable to people of all ages. Ancient these fables may seem, but when they are summarised into their pithy titles, they become idioms of common usage among the people even to these modern days. This book contains more than 70 Chinese fables that have been handed down from ancient times, told with lively comic illustrations by Chinese cartoonist Tian Hengyu who is renowned for his expressive illustrations with crisp and clear-cut lines. You are sure to be amused as you go through all these ancient stories and you will also be amazed by the subtlety and succinctness of meaning conveyed by them.
New Approaches of Protein Function Prediction from Protein Interaction Networks contains the critical aspects of PPI network based protein function prediction, including semantically assessing the reliability of PPI data, measuring the functional similarity between proteins, dynamically selecting prediction domains, predicting functions, and establishing corresponding prediction frameworks. Functional annotation of proteins is vital to biological and clinical research and other applications due to the important roles proteins play in various biological processes. Although the functions of some proteins have been annotated via biological experiments, there are still many proteins whose functions are yet to be annotated due to the limitations of existing methods and the high cost of experiments. To overcome experimental limitations, this book helps users understand the computational approaches that have been rapidly developed for protein function prediction. - Provides innovative approaches and new developments targeting key issues in protein function prediction - Presents heuristic ideas for further research in this challenging area
Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.
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