Semantic Annotation for Indexing Archaeological Context: A Prototype Development and Evaluation

Andreas Vlachidis*, Douglas Tudhope

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper discusses the process of developing Semantic Annotations, a form of metadata for assigning conceptual entities to textual instances, in this case archaeological grey literature. The use of Information Extraction (IE), a Natural Language Processing (NLP) technique is central to the annotation process. The paper explores the use of Ontology Oriented Information Extraction (OOIE) methods for the definition of rich semantic-aware indices of archaeology documents. The annotation process follows a rule-based information extraction approach using GATE. In particular the report discusses a prototype development that adopts the core ontology, CIDOC CRM, together with an English Heritage archaeological extension, to inform and direct the information extraction effort. The prototype evaluation, supports the assumptions made, about the capability of the method to construct rich indices of grey literature documents empowered by Semantic Annotations.

Original languageEnglish
Title of host publicationMETADATA AND SEMANTIC RESEARCH
EditorsE GarciaBarriocanal, Z Cebeci, MC Okur, A Ozturk
PublisherSpringer
Pages363-374
Number of pages12
ISBN (Print)978-3-642-24730-9
Publication statusPublished - 2011
Event5th International Conference on Metadata and Semantic Research - Izmir, Turkey
Duration: 12 Oct 201114 Oct 2011

Publication series

NameCommunications in Computer and Information Science
PublisherSPRINGER-VERLAG BERLIN
Volume240
ISSN (Print)1865-0929

Conference

Conference5th International Conference on Metadata and Semantic Research
Country/TerritoryTurkey
CityIzmir
Period12/10/1114/10/11

Keywords

  • Natural Language Processing
  • Ontology Based Information Extraction
  • Semantic Annotation
  • GATE
  • Digital Archaeology
  • INFORMATION EXTRACTION
  • GREY LITERATURE
  • RETRIEVAL

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