Semantics-driven modelling of user preferences for information retrieval in the biomedical domain

Abstract

A large amount of biomedical and genomic data are currently available on the Internet. However, data are distributed into heterogeneous biological information sources, with little or even no organization. Semantic technologies provide a consistent and reliable basis with which to confront the challenges involved in the organization, manipulation and visualization of data and knowledge. One of the knowledge representation techniques used in semantic processing is the ontology, which is commonly defined as a formal and explicit specification of a shared conceptualization of a domain of interest. The work presented here introduces a set of interoperable algorithms that can use domain and ontological information to improve information-retrieval processes. This work presents an ontology-based information-retrieval system for the biomedical domain. This system, with which some experiments have been carried out that are described in this paper, is based on the use of domain ontologies for the creation and normalization of lightweight ontologies that represent user preferences in a determined domain in order to improve information-retrieval processes.

Use of the Ontological Model for Personification of the Semantic Search

“…in the information space that defines the structure, attributes, constraints and, possibly, the behavior of this object [1]. For example, person, publication, Web-site, organization, city are objects, and their descriptions are information objects.…”

Means of the Semantic Search Personification on base of Ontological Approach

“…in the information space that defines the structure, attributes, constraints and, possibly, the behavior of this object [2]. For example, person, publication, Web-site, organization, city are objects, and their descriptions are information objects.…”

Проблеми семантизації інформаційних ресурсів web для підтримки управління процесами оподаткування

“…Семантичний пошук [4] -це пошук інформації, що задовольняє інформаційні потреби користувача в процесі пошуку інформації з оподаткування із застосуванням знань щодо суб'єктів і об'єктів пошукової процедури й методів аналізу цих знань [2]. Ці знання можуть стосуватися як користувача та його інформаційних потреб (персоніфікація пошуку), так і структури та типів ІР, серед яких здійснюється пошукова процедура.…”