This paper explores the use of texts that are related to an image collection, also known as collateral texts, for building thesauri in specialist domains to aid in image retrieval. Corpus linguistic and information extraction methods are used for identifying key terms and semantic relationships in specialist texts that may be used for query expansion purposes. The specialist domain context impo...

In this paper, we propose a document vector space model where weights of noun terms vary depending on positions within the texts of blog entries as search results. We extend “extended anchor texts” (i.e., extra texts surrounding anchor texts) with the exponential potential such that the weight of a noun term decreases exponentially as the distance between the term and link increases. In order t...

The paper outlines a formal ontology of texts. The main ontological distinction I try to capture is the difference between tokens of texts (physical texts) and texts (abstract texts) themselves. The latter are understood here as ontologically dependent on the former in the sense spelled out by the axioms of the ontology. I formally characterise both types by means of their criteria of identity ...