The semantic annotation system OPTIMA is the result of Andreas Vlachidis PhD work, (supervised by Prof. Douglas Tudhope, University of Glamorgan, UK).

OPTIMA performs the NLP tasks of Named Entity Recognition, Relation Extraction, Negation Detection and Word Sense Disambiguation using hand-crafted rules and SKOS terminological resources (English Heritage Thesauri and Glossaries). The resulted semantic annotations are associated with classes of the (ISO 21127:2006) CIDOC Conceptual Reference Model (CRM) and its archaeological extension, CRM-EH.

OPTIMA is also targeted at the detection and recognition of contextual relations between CRM entities. Such relations are modeled with respect to the CRM-EH archaeology extension.

The pipeline targets the CIDOC-CRM entities; E19.Physical_Object, E53.Place, E49.Time_Appellation and E57.Material and the CRM-EH entities; EHE1001.Context_Event, EHE1002.Production_Event, EHE1004.Deposition_Event and P45.consists_of material property

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Creative Commons Attribution Non-Commercial License V2.0

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Additional Project Details

Operating Systems

BSD, Linux, Windows

Intended Audience

Advanced End Users, Developers, Information Technology, Science/Research

User Interface

Java AWT

Programming Language

Java

Database Environment

XML-based

Related Categories

Java Search Software, Java Artificial Intelligence Software, Java Linguistics Software, Java Natural Language Processing (NLP) Tool

Registered

2013-01-21