Addressing advanced issues of digital preservation, beyond keeping the bits and the ability to render, this book explores concepts of understandability, usability and interoperability for digital objects, as well as concerns over issues such as authenticity.
This book presents a new way to look at topical relevance in information retrieval and offers a new method for modeling exchangeable sequences of discrete random variables which does not make any assumptions about the data and can also handle rare events.
In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.
Covering the theory, technical components and applications of the Semantic Web, this book’s unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.