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Author Isemann, Daniel ♦ Ahmad, Khurshid
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Legacy data conversion ♦ Description logic modeling ♦ Ontology-based user interface
Abstract Information retrieval in a knowledge rich domain poses challenges that are different from other domains. The domain of fine arts and cultural heritage is an exemplar of such a domain. The many facets of, and complex interrelations between, works of fine art are not easily addressed by conventional keyword-based approaches or even by structured cataloguing systems. Information retrieval challenges in this domain include: the conversion of existing legacy data into knowledge representations that emulate the semantics of the domain's relationships; and easy access to a robust knowledge representation for users unfamiliar with query languages. Our research addresses aspects of both challenges as they are connected and may benefit from being addressed in conjunction. Based on a study on user preferences in art image search and a review of existing structured resources for cataloguing art and heritage information, we have developed two prototypes: Ontology Populator and $\textit{Artfinder}.$ The first prototype, Ontology Populator, is used to automatically enrich data akin to legacy data kept by heritage institutions and transform it into a knowledge base. The second prototype is a graphical query builder, $\textit{Artfinder},$ which interacts with the knowledge base. The $\textit{Artfinder}$ interface, is constructed dynamically from the structure of the underlying knowledge. A task-based evaluation of $\textit{Artfinder}$ was carried out with 10 expert and 10 layperson evaluators. Participants reviewed the interface favourably and the evaluation also revealed potential for improvement. $\textit{Artfinder}$ and its “query logic,” perhaps is a semantically richer mode of accessing knowledge repositories, allowing for logically more complex queries than are currently supported outside the realm of dedicated query languages. We believe that domain experts and perhaps informed laypersons will benefit from this retrieval approach.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-04-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 7
Issue Number 1
Page Count 25
Starting Page 1
Ending Page 25


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Source: ACM Digital Library