PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Ontology grounding
Aleks Jakulin and Dunja Mladenić
In: SIKDD 2005 at multiconference IS 2005, 17 Oct 2005, Ljubljana, Slovenia.

Abstract

An ontology is a structured semantic model, composed of concepts, relations and instances. Data is a more primitive but concrete assembly of instances described by their attributes. An example of topic ontology Open Directory of Web documents used in Google organizing documents into topics and subtopics, such “Science”, “Arts”, etc. However, many ontologies originally manually developed without making explicit connection to the data. We hereby introduce concept of ontology grounding, where the concepts relations from the ontology become associated with data. This enables us both to explain concepts in more concrete terms and to recognize them in the data.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
Information Retrieval & Textual Information Access
ID Code:1201
Deposited By:Blaz Fortuna
Deposited On:24 November 2005