Paper Info
Title
Herculb: Content-Based Information Extraction And Retrieval For Cultural Heritage Of The Balkans
Abstract
Purpose - The purpose of this paper is to provide a methodology for automatic annotation of a multimedia collection of intangible cultural heritage mostly in the form of interviews. Assigned annotations provide a way to search the collection.Design/methodology/approach - Annotation is based on automatic extraction of metadata and is conducted by named entity and topic extraction from textual descriptions with a rule-based approach supported by vocabulary resources, a compiled domain-specific classification scheme and domain-oriented corpus analysis.Findings - The proposed methodology for automatic annotation of a collection of intangible cultural heritage, applied on the cultural heritage of the Balkans, has very good results according to F measure, which is 0.87 for the named entity and 0.90 for topic annotation. The overall methodology enables encapsulating domain-specific and language-specific knowledge into collections of finite state transducers and allows further improvements.Originality/value - Although cultural heritage has a significant role in the development of identity of a group or an individual, it is one of those specific domains that have not yet been fully explored in case of many languages. A methodology is proposed that can be used for incorporating natural language processing techniques into digital libraries of cultural heritage.
Year
DOI
Venue
2020
10.1108/EL-03-2020-0052
ELECTRONIC LIBRARY
Keywords
DocType
Volume
Information extraction, Content-based search, Natural language processing, Intangible cultural heritage
Journal
38
Issue
ISSN
Citations 
5-6
0264-0473
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Ivana Tanasijevic100.34
Gordana Pavlovic-Lazetic2357.82