Abstract not found

The following paper explains, how we can enrich an existing ontology by mining the WWW. The use of such an ontology may be manifold, for example as a component of information systems or multimedial repositories. The enrichment process is based on the comparison between statistical information of word usage in a large text collection, a so called text corpus, and the structure of the ontology itself.

We propose an ontology-based framework for linguistic annotation of written texts.

Controlled-term indexing (the method of choice for multimedia collections and still very popular for purely textual material), appears an expensive solution because it takes huge resources and manual indexing. It is not possible, however, to perform a well-founded asessment of various approaches to information retrieval. We discuss ways to improve controlled-term indexing and illustrate these by looking at the Condorcet project carried out at Twente by us and co-workers. We round o# with a discussion that, we hope, will raise more questions than it answers. Keywords: Knowledge-Based Systems, Language Technology, Information Retrieval, Multimedia, Information Extraction 1 Introduction Among the papers of the French mathematician and social philosopher Condorcet (1743--1794) found after his death, there is a proposal to assign each and every piece of knowledge a unique code. The code would serve two purposes: it could be used to organise libraries, and by comparing the codes with what ...

The Semantic Web aims at adding semantic knowledge into the web of natural language hypertext, enabling deep-level information search and information integration.

Using the semantics of prepositions for ontology learning Master thesis of Vincent Jacobs

We propose an ontology-based framework for linguistic annotation of written texts.

Deliverable D3.3.1 (WP3.3) In this deliverable we present work performed in the task `T3.3 Data-driven Change Discovery'.