Searching In Semantically Rich Linked Data: A Case Study In Cultural Heritage. Hildebrand, M., van Ossenbruggen, J. R., Hardman, L., Wielemaker, J., & Schreiber, G. Technical Report INS-1001, CWI, February, 2010. Paper abstract bibtex 1 download Traditionally the relations between concepts from a controlled vocabulary, such as the hierarchical and associative relations in a thesaurus, have been used to support users in their search process. In the context of the Semantic Web, multiple interlinked vocabularies are becoming available, providing a large number of different relations between concepts. However, for a specific search task, only a small fraction of these will be meaningful to the user, and currently we have little understanding of which methods can be used to determine this. In this paper, we describe a case study in the cultural heritage domain that investigates support for the specific task of finding artworks in a data set of multiple linked art collections and vocabularies. In a first experiment a number of use cases from domain experts are collected and the paths in the data graph by which artworks can be found are analysed. A number of different types of paths are identified and their usefulness is qualitatively evaluated. In a second experiment we explore how the different path types can be used in a semantic search algorithm to support the intended search behavior indicated by the experts. We conclude that effective end-user support requires a highly interactive application in which the user can explore multiple search strategies. Based on our findings we discuss the implications on the design of such an interactive search application.
@techreport{15324,
author = {Hildebrand, M. and van Ossenbruggen, J. R. and Hardman, L. and Wielemaker, J. and Schreiber, G.},
title = {Searching {In} {Semantically} {Rich} {Linked} {Data}: {A} {Case} {Study} {In} {Cultural} {Heritage}},
type = {CWI Technical Report},
origin = {other},
series = {Information Systems [INS]},
pages = {1 - 24},
year = {2010},
month = {February},
number = {INS-1001},
publisher = {CWI},
issn = {1386-3681},
institution = {CWI},
size = {24p.},
keywords = {Semantic search, linked data, cultural heritage, user study},
group = {INS2},
language = {en},
project = {Non-NWO Project 1},
abstract = {Traditionally the relations between concepts from a controlled vocabulary, such as the hierarchical and associative
relations in a thesaurus, have been used to support users in their search process. In the context of the Semantic Web, multiple
interlinked vocabularies are becoming available, providing a large number of different relations between concepts. However,
for a specific search task, only a small fraction of these will be meaningful to the user, and currently we have little
understanding of which methods can be used to determine this. In this paper, we describe a case study in the cultural heritage
domain that investigates support for the specific task of finding artworks in a data set of multiple linked art collections
and vocabularies. In a first experiment a number of use cases from domain experts are collected and the paths in the data
graph by which artworks can be found are analysed. A number of different types of paths are identified and their usefulness
is qualitatively evaluated. In a second experiment we explore how the different path types can be used in a semantic search
algorithm to support the intended search behavior indicated by the experts. We conclude that effective end-user support
requires a highly interactive application in which the user can explore multiple search strategies. Based on our findings
we discuss the implications on the design of such an interactive search application.},
url = {http://oai.cwi.nl/oai/asset/15324/15324D.pdf},
}
Downloads: 1
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