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Domain Specific Information Extraction for Semantic Annotation: A Master Thesis from a Joint European Master Program in Language and Communication Technologies (LCT) - Softcover

Ahmed, Zeeshan

 
9783838360935: Domain Specific Information Extraction for Semantic Annotation: A Master Thesis from a Joint European Master Program in Language and Communication Technologies (LCT)
Softcover
ISBN 10: 3838360931 ISBN 13: 9783838360935
Verlag: LAP LAMBERT Academic Publishing, 2011

Inhaltsangabe

The main problem with Semantic Annotation is availability of ontology for the domain. Ontology comprises of concept and relationships. In an ontology, a concept may be atomic or defined by a set of properties. This set of properties classifies the concept with other concept in ontology. In this thesis, we present an approach that deals with semantic annotation using properties of concept than simple instance matching technique currently available. In this approach, the document is analyzed for the purpose of identifying these properties using ontology. If the properties found in document match with properties of any concept in ontology, the document is annotated with that concept. In this way, documents are indexed according to these properties. The main target of this thesis is to present approaches of how these properties can be extracted from documents; both for the purpose of semantic annotation and ontology building. To achieve this target, two different approaches to information extraction are presented for Semantic Annotation; namely "Rule Based" and "Dependency Based".

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Über die Autorin bzw. den Autor

Zeeshan Ahmed is a PhD student in MUSTER research group in UCD,Ireland. He received his BS in Computer Science from University of Karachi, Pakistan. He wrote this thesis as part of his MS in Language and Communication Technologies in University of Nancy, France and Charles University of Prague, Czech Republic. He was Erasmus Scholar in this course.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2011
Sprache
Englisch
ISBN 10 
3838360931
ISBN 13 
9783838360935
Einband
Taschenbuch
Anzahl der Seiten
84
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Alphascript Publishing
customerservice@vdm-vsg.de

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Riga
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