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Augmenting Lightweight Domain Ontologies with Social Evidence Sources

Weichselbraun, Albert and Wohlgenannt, Gerhard and Scharl, Arno (2010) Augmenting Lightweight Domain Ontologies with Social Evidence Sources. In: 9th International Workshop on Web Semantics, 21st International Conference on Database and Expert Systems Applications (DEXA 2010), 30 August - 3 September 2010, Bilbao, Spain.

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Abstract

Recent research shows the potential of utilizing data collected through Web 2.0 applications to capture changes in a domain's terminology. This paper presents an approach to augment corpus-based ontology learning by considering terms from collaborative tagging systems, social networking platforms, and micro-blogging services. The proposed framework collects information on the domain's terminology from domain documents and a seed ontology in a triple store. Data from social sources such as Delicious, Flickr, Technorati and Twitter provide an outside view of the domain and help incorporate external knowledge into the ontology learning process. The neural network technique of spreading activation is used to identify relevant new concepts, and to determine their positions in the extended ontology. Evaluating the method with two measures (PMI and expert judgements) demonstrates the significant benefits of social evidence sources for ontology learning.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Evidence Source Integration; Ontology Learning; Spreading Activation; Social Evidence Source; Web 2.0
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
ID Code:39
Deposited By: Dr Albert Weichselbraun
Deposited On:16 Apr 2012 06:28
Last Modified:16 Apr 2012 06:36

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