NDLI: Ontology-based integration of heterogeneous, incomplete and imprecise data dedicated to a decision support system in food safety

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Ontology-based integration of heterogeneous, incomplete and imprecise data dedicated to a decision support system in food safety

Content Provider	Semantic Scholar
Author	Buche, Patrice Contenot, Sandrine Soler, Lydie Dibie, Juliette Doussot, David Hignette, Gaëlle Ibănescu, Mariana
Copyright Year	2009
Abstract	This chapter presents an application in the field of food safety using an ontology-based data integration approach. An ontology is a vocabulary used to express the knowledge in a given domain of application. In this chapter, the ontology-based data integration approach permits to homogenize data sources which are heterogeneous in terms of structure and vocabulary. This approach is done in the framework of theSemantic Web, an international initiative which proposes annotating data sources using ontologies in order to manage them more efficiently. In this chapter, the authors explore three ways to integrate data according to a domain ontology: (1) a semantic annotation process to extend local data with Web data which have been semantically annotated according to a domain ontology, (2) a flexible querying system to query uniformly both local data and Web data and (3) an ontology alignment process to find correspondences between data from two sources indexed by distinct ontologies.
Starting Page	81
Ending Page	95
Page Count	15
File Format	PDF HTM / HTML
DOI	10.4018/978-1-60566-756-0.ch005
Alternate Webpage(s)	https://www.igi-global.com/viewtitlesample.aspx?id=36609&ptid=238&t=ontology-based+integration+of+heterogeneous,+incomplete+and+imprecise+data+dedicated+to+a+decision+support+system+for+food+safety
Alternate Webpage(s)	http://www.igi-global.com/viewtitlesample.aspx?id=36609&ptid=238&t=ontology-based+integration+of+heterogeneous,+incomplete+and+imprecise+data+dedicated+to+a+decision+support+system+for+food+safety
Alternate Webpage(s)	https://doi.org/10.4018/978-1-60566-756-0.ch005
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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