To bring the Semantic Web to life and provide advanced knowledge services, we need
efficient ways to access and extract knowledge from Web documents. Although Web page …

Document authors cannot routinely afford the overhead imposed by current semantic
annotation tools. Some characteristics of their task can be exploited to provide them with a …

The manufacturing industry offers a huge range of opportunities and challenges for
exploiting semantic web technologies. Collating heterogeneous data into semantic …

(57) ABSTRACT A method and system are provided for classifying data items Such as a
document based upon identification of element instances within the data item. A training set …

The need for labeled documents is a key bottleneck in adaptive information extraction. One
way to solve this problem is through active learning algorithms that require users to label …

This thesis describes the development and in-depth empirical investigation of a method,
called BootMark, for bootstrapping the marking up of named entities in textual documents …

A method is provided for transforming data elements within a classification system based in
part on input from a human annotator or expert. A first concept evolution model as a training …

Abstract Named Entity Recognition (NER) deals with identifying and classifying atomic texts
into pre-defined ontological classes. It is the enabling technique to many complex …

In this paper, we propose a model of semantic annotation suitable for learners. It is used to
implement a web annotation tool WebAnnot which enables the learners to annotate their …

If we want to create the web of the future, an absolute must is to address the issues centred
around creating and harvesting annotations. In essence, this future web is not a parallel web …