2011 OntologyPopulationandEnrichment

• (Petasis et al., 2011) ⇒ Georgios Petasis, Vangelis Karkaletsis, Georgios Paliouras, Anastasia Krithara, and Elias Zavitsanos. (2011). “Ontology Population and Enrichment: State of the Art.” In: Knowledge-driven multimedia information extraction and ontology evolution.

Subject Headings: Ontology Update from Text

Cited By

• http://scholar.google.com/scholar?q=%22Ontology+population+and+enrichment%3A+state+of+the+art%22+2011
• http://dl.acm.org/citation.cfm?id=2001069.2001075&preflayout=flat#citedby

Quotes

Author Keywords

• ontology enrichment; ontology learning; ontology population

Abstract

Ontology learning is the process of acquiring (constructing or integrating) an ontology (semi-) automatically. Being a knowledge acquisition task, it is a complex activity, which becomes even more complex in the context of the BOEMIE project1, due to the management of multimedia resources and the multi-modal semantic interpretation that they require. The purpose of this chapter is to present a survey of the most relevant methods, techniques and tools used for the task of ontology learning. Adopting a practical perspective, an overview of the main activities involved in ontology learning is presented. This breakdown of the learning process is used as a basis for the comparative analysis of existing tools and approaches. The comparison is done along dimensions that emphasize the particular interests of the BOEMIE project. In this context, ontology learning in BOEMIE is treated and compared to the state of the art, explaining how BOEMIE addresses problems observed in existing systems and contributes to issues that are not frequently considered by existing approaches.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2011 OntologyPopulationandEnrichment	Georgios Paliouras Vangelis Karkaletsis Georgios Petasis Anastasia Krithara Elias Zavitsanos			Ontology Population and Enrichment: State of the Art