A Semi-Automatic Semantic Annotation and Authoring Tool for a Library Help Desk Service

A Semi-Automatic Semantic Annotation and Authoring Tool for a Library Help Desk Service

Antti Vehviläinen (Helsinki University of Technology (TKK), Finland), Eero Hyvönen (Helsinki University of Technology (TKK), Finland) and Olli Alm (Helsinki University of Technology (TKK), Finland)
DOI: 10.4018/978-1-59904-877-2.ch007
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Abstract

This chapter discusses how knowledge technologies can be utilized in creating help desk services on the Semantic Web. To ease the content indexer’s work, we propose semi-automatic semantic annotation of natural language text for annotating question-answer (QA) pairs, and case-based reasoning techniques for finding similar questions. To provide answers matching the content indexer’s and end-user’s information needs, methods for combining case-based reasoning with semantic search, linking, and authoring are proposed. We integrate different data sources by using large ontologies. Techniques to utilize these sources in authoring answers are suggested. A prototype implementation of a real life ontology-based help desk application, based on an existing national library help desk service in Finland, is presented as a proof of concept.

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