Extraction process specification for materialized ontology views
Access Status
Authors
Date
2008Type
Metadata
Show full item recordCitation
Source Title
ISBN
Faculty
School
Collection
Abstract
The success of the semantic web relies heavily on ontologies. However, using ontologies for this specific area poses a number of new problems. One of these problems, extracting a high quality ontology from a given base ontology, is currently receiving increasing attention. Areas such as versioning, distribution and maintenance of ontologies often involve this problem. Here, a formalism is presented that enables grouping ontology extraction requirements into different categories, called optimization schemes. These optimization schemes provide a way to introduce quality in the extraction process. An overview of the formalism is discussed, as well as a demonstration of several example optimization schemes. Each of these optimization schemes meets a certain requirement, and consists of rules and algorithms. Examples of how the formalism is deployed to reach a high-quality result, called a materialized ontology view, are covered. The presented methodology provides a foundation for further developments, and shows the possibility of obtaining usable ontologies in a highly automated way.
Related items
Showing items related by title, author, creator and subject.
-
Chang, Elizabeth; Dillon, Tharam S.; Rajugan, R.; Wouters, C. (2005)The semantic web relies on ontologies to provide its required taxonomies. Often, ontologies tend to grow very large, introducing a number of problems. One of these problems is the difficulty in viewing and browsing of ...
-
Ghassemzadeh, S.; Hashempour Charkhi, Amir (2016)Hydrocarbon production can be elevated using gas lift especially when reservoir pressure declines throughout reservoir life. Specific amount of compressed gas distributes among wells during a gas lift operation through ...
-
Reiterer, Emanuel (2013)This PhD investigates a novel architecture for digital libraries. This architecture should enable search processes to return instances of result core ontologies further on called result ontologies linked to documents found ...