NDLI: A semantic nomenclature for the pharmaceutical sector based on networked ontologies

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A semantic nomenclature for the pharmaceutical sector based on networked ontologies

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A semantic nomenclature for the pharmaceutical sector based on networked ontologies

Content Provider	ACM Digital Library
Author	Lobo, Tomás Pariente Cárcel, Germán Herrero
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 discovery, integration and easy access to the 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 [1]. 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 paper we propose the use of networked ontologies to solve these problems for the particular case scenario of 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 $NeOn^{1}$ EC funded FP6 project [2]. Our approach is that of the integration of the large quantity of information about pharmaceutical products provided by a wide range of actors in the Spanish pharmaceutical sector using networked ontologies. Cover the profound lack of systematization for creating, maintaining and updating drug-related information, the creation of a common reference ontology about drugs, the provision of easy mechanisms for discovery, model and mapping of new sources of information in a collaborative way, and the ability to reason on the context of user and ontologies in order to facilitate the mapping and retrieving processes, are among the main goal of this case study that will be further developed in the present paper.
Starting Page	1
Ending Page	3
Page Count	3
File Format	PDF
ISBN	9781595935984
DOI	10.1145/1352694.1352769
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-05-14
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Drug Networked ontologies Semantic web Neon Ontology Semantic nomenclature Pharmaceutical sector
Content Type	Text
Resource Type	Article

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