A web services-based annotation application for semantic annotation of highly specialised documents about the field of marketing

  • Authors:

  • Mercedes Argüello Casteleiro;Mukhtar Abusa;Maria Jesus Fernandez Prieto;Veronica Brookes;Fonbeyin Henry Abanda

  • Affiliations:

  • Research Institute of the Built and Human Environment, The University of Salford, Salford, United Kingdom;Research Institute of the Built and Human Environment, The University of Salford, Salford, United Kingdom;School of Languages, The University of Salford, Salford, United Kingdom;School of Languages, The University of Salford, Salford, United Kingdom;Research Institute of the Built and Human Environment, The University of Salford, Salford, United Kingdom

  • Venue:
  • OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The field of marketing is ever-changing. Each shift in the focus of marketing may have an impact on the current terminology in-use, and therefore, compiling marketing terminology and knowledge can help marketing managers and scholars to keep track of the ongoing evolution in the field. However, processing highly specialised documents about a particular domain is a delicate and very time-consuming activity performed by domain experts and trained terminologists, and which can not be easily delegated to automatic tools. This paper presents a Web services-based application to automate the semantic annotation and text categorisation of highly specialised documents where domain knowledge is encoded as OWL domain ontology fragments that are used as the inputs and outputs of Web services. The approach presented outlines the use of OWLS and the OWL's XML presentation syntax to obtain Web services that easily deal with terminological background knowledge. To validate the proposal, the research has focused on expert-to-expert documents of the marketing field. The emphasis of the research approach presented is on the end-users (marketing experts and trained terminologists) who are not computer experts and not familiarized with Semantic Web technologies.