NDLI: Towards the use of networked ontologies for dealing with knowledge- intensive domains: a pharmaceutical case study.

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Towards the use of networked ontologies for dealing with knowledge- intensive domains: a pharmaceutical case study.

Content Provider	CiteSeerX
Author	Cárcel, Germán Herrero Lobo, Tomás Pariente
Abstract	Knowledge intensive sectors, such as the pharmaceutical, have typically to face the problem of dealing with heterogeneous and vast amounts of information. In these scenarios integration, discovery and an easy access to knowledge are the most important factors. The use of semantics to classify meaningfully the information and to bridge the gap between the different representations that different stakeholders have is widely accepted. The problem arises when the ontologies used to model the domain become too large and unmanageable. The current status of the technology does not allow to easily working with this type of ontologies. In this chapter we propose the use of networked ontologies to solve these problems for the particular case scenario of the nomenclature of products in the pharmaceutical sector in Spain. Instead of using a single ontology, the idea is to break the model in several meaningful pieces and bind them together using a networked ontology model for representing and managing relations between multiple ontologies. The Semantic Nomenclature is a case study that is currently under development in the EC funded FP6 project NeOn [1]. Among the main objectives of the case study, are helping in the systematization of the creation, maintenance and keeping up-to-date drug-related information, and to allow an easy integration
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Access Restriction	Open
Subject Keyword	Networked Ontology Pharmaceutical Case Study Knowledge Intensive Domain Case Study Easy Access Scenario Integration Knowledge Intensive Sector Single Ontology Particular Case Scenario Pharmaceutical Sector Vast Amount Current Status Up-to-date Drug-related Information Important Factor Semantic Nomenclature Different Representation Easy Integration Several Meaningful Piece Fp6 Project Neon Networked Ontology Model Multiple Ontology Different Stakeholder Main Objective
Content Type	Text
Resource Type	Article

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