z-logo
open-access-imgOpen Access
An Ontology Based Framework for Retrieval of Museum Artifacts
Author(s) -
Manoj Sharma,
Tanveer J. Siddiqui
Publication year - 2016
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2016.04.083
Subject(s) - computer science , ontology , information retrieval , image retrieval , annotation , domain (mathematical analysis) , automatic image annotation , text retrieval , artificial intelligence , natural language processing , image (mathematics) , mathematical analysis , philosophy , mathematics , epistemology
This paper proposes ontology based conceptual framework for storage and retrieval of Digitized Museum Artifacts. The proposed framework uses ontology structure for automatic image annotation. It supports semantic retrieval by combining ontological concepts, visual and textual features automatically extracted from images and their textual descriptions. The Ontology-driven analysis module automatically generates annotation for domain objects. This paper also reports a new dataset designed for its evaluation. The dataset consists of images displayed in various galleries of Allahabad museum along with their textual description. We have collected 1200 images and extracted their visual and textual features for the purpose of retrieval

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom