The life sciences are a promising application area for semantic web technologies as there
are large online structured and unstructured data repositories and ontologies, which …

Researchers in Text Mining and researchers active in developing ontological resources
provide solutions to preserve semantic information properly, ie in ontologies and/or fact …

We present a system for ontology based annotation and indexing of biomedical data; the key
functionality of this system is to provide a service that enables users to locate biomedical …

This paper describes an ontology-based approach aiming at helping biologists to annotate
their documents and at facilitating their information retrieval task. Our approach, based on …

The Semantic Web can be conceived as an extension of the current Web where information
is given well-defined meaning. In this scenario ontologies are crucial since they provide …

The volume of biomedical literature is increasing at such a rate that it is becoming difficult to
locate, retrieve and manage the reported information without text mining, which aims to …

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

Biomedical ontologies provide a commonly accepted scheme for the characterization of
biological concepts that enable knowledge sharing and integration. Updating and …

Text mining for biomedicine requires a significant amount of domain knowledge. Much of
this information is contained in biomedical ontologies. Developers of text mining …

Ontologies can be used for rich annotation of data and the means to share and integrate
data. In addition to the annotation of experimental data for search-andretrieval in an e …