In the context of Information Retrieval, Precision is defined as the number of relevant documents retrieved by a search divided by the total number of documents retrieved by that search, and Recall is defined as the number of relevant documents retrieved by a search divided by the total number of existing relevant documents (which should have been retrieved).
Published in Chapter:
OSIRIS: Ontology-Based System for Semantic Information Retrieval and Indexation Dedicated to Community and Open Web Spaces
Francky Trichet (University of Nantes: Team Knowledge and Decision (KOD), France), Xavier Aimé (University of Nantes: Team Knowledge and Decision (KOD), France), and Christophe Thovex (University of Nantes: Team Knowledge and Decision (KOD), France)
Copyright: © 2011
|Pages: 19
DOI: 10.4018/978-1-61520-883-8.ch021
Abstract
OSIRIS (Ontology-based Systems for Semantic Information Retrieval and Indexation dedicated to community and open web Spaces) is a platform dedicated to the development of community web spaces which aim at facilitating both semantic annotating process and searching process of multimedia resources. Based on the use of both heavyweight ontologies and thesauri, OSIRIS allows the end-user (1) to describe the semantic content of its resources by using an intuitive natural-language based model of annotation which is founded on the triple (Subject, Verb, Object), and (2) to formally represent these annotations by using Conceptual Graphs. Each resource can be described by adopting multiple points of view, which are usually provided by different end-users. These different points of view can be defined by using multiple ontologies which can be related to connected (or not-connected) domains. Developed from the integration of Semantic Web technologies and Web 2.0 technologies, OSIRIS aims at facilitating the deployment of semantic, collaborative, community and open web spaces. The use of OSIRIS is illustrated in the context of a project dedicated to the preservation of French popular and cultural heritage.