Supporting subject matter annotation using heterogeneous thesauri

Supporting subject matter annotation using heterogeneous thesauri: A user study in Web data reuse

We performed a user experiment in which museum professionals used vocabularies from the Web for annotating the subject matter of museum objects. In this paper, we study the requirements on the underlying RDF dataset, search algorithms and user interface design in a real world setting. We identify the advantages of reusing vocabularies from the Web and discuss how and to what extent the disadvan...

OntoLex and Onomasiological Ordering: Supporting Topical Thesauri

The OntoLex vocabulary has been designed to capture lexicons and to add their lexicographical knowledge to ontologies in the Semantic Web. Although the specification of the vocabulary posits that OntoLex allows lexicons to be ordered onomasiologically, it does so for a very specific kind of onomasiological ordering only. As a consequence, the vocabulary is currently insufficient for capturing a...

1 Supporting linguistic annotation using XML

Large-scale linguistic annotation is currently employed for a wide range of purposes, including comparing communication under different conditions, testing psycholinguistic hypotheses, and training natural language engines. Current software support for linguistic annotation is poor, with much of it written for one-off tasks using special purpose data representations and data handling routines. ...

Query Expansion using Thesauri:

The subject matter fallacy

The subject matter fallacy is the fallacy of supposing that the content of a statement or a belief consists in the conditions the truth of the statement or belief puts on its subject matter: the objects the statement or belief is about. Consider my belief that Hillary Clinton is a resident of New York. The subject matter of this belief are the things and conditions (properties, relations) it is...