Implicit/ explicit knowledge constitutes a key distinction in the study of second language acquisition. This book reports a project that investigated ways of measuring implicit/explicit L2 knowledge, the relationship between the two types of knowledge and language proficiency, and the effect that di
Knowledge Annotation: Making Implicit Knowledge Explicit
β Scribed by Alexiei Dingli (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2011
- Tongue
- English
- Leaves
- 164
- Series
- Intelligent Systems Reference Library 16
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Did you ever read something on a book, felt the need to comment, took up a pencil and scribbled something on the booksβ textβ? If you did, you just annotated a book. But that process has now become something fundamental and revolutionary in these days of computing. Annotation is all about adding further information to text, pictures, movies and even to physical objects. In practice, anything which can be identified either virtually or physically can be annotated.
In this book, we will delve into what makes annotations, and analyse their significance for the future evolutions of the web. We will explain why it was thought to be unreasonable to annotate documents manually and how Web 2.0 is making us rethink our beliefs. We will have a look at tools which make use of Artificial Intelligence techniques to support people in the annotation task. Behind these tools, there exists an important property of the web known as redundancy; we will explain what it is and show how it can be exploited. Finally we will gaze into the crystal ball and see what we might expect to see in the future.
Until people understand what the web is all about and its grounding in annotation, people cannot start appreciating it. And until they do so, they cannot start creating the web of the future.
β¦ Table of Contents
Front Matter....Pages -
Front Matter....Pages 1-2
Introducing Annotation....Pages 3-17
Annotation for the Semantic Web....Pages 19-24
Annotating Different Media....Pages 25-32
Front Matter....Pages 33-34
Manual Annotation....Pages 35-42
Annotation Using Human Computation....Pages 43-58
Semi-automated Annotation....Pages 59-69
Fully-automated Annotation....Pages 71-77
Front Matter....Pages 79-80
Exploiting the Redundancy of the Web....Pages 81-87
The Future of Annotations....Pages 89-95
Back Matter....Pages -
β¦ Subjects
Computational Intelligence; Artificial Intelligence (incl. Robotics)
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