Imagesieve: Exploratory search of museum archives with named entity-based faceted browsing

Lin, Yiling; Ahn, Jae‐wook; Brusilovsky, Peter; He, Daqing; Real, William A.

doi:10.1002/meet.14504701217

Cited by 14 publications

(17 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The feature has been appreciated both by the professional museum world and end-users, but no concrete evaluation of the NE has been performed. Lin et al (2010) explore NE in order to offer a faceted browsing interface to users of large museum collections. On the basis of interviews with a limited test group, the relevance of the extracted NE is assessed, but this evaluation is not based on a statistically significant sample.…”

Section: Previous Use Of Ner Within the Digital Humanitiesmentioning

confidence: 99%

Exploring entity recognition and disambiguation for cultural heritage collections

Hooland¹,

Wilde²,

Verborgh³

et al. 2013

Digital Scholarship in the Humanities

View full text Add to dashboard Cite

Unstructured metadata fields such as 'description' offer tremendous value for users to understand cultural heritage objects. However, this type of narrative information is of little direct use within a machine-readable context due to its unstructured nature. This paper explores the possibilities and limitations of Named-Entity Recognition (NER) and Term Extraction (TE) to mine such unstructured metadata for meaningful concepts. These concepts can be used to leverage otherwise limited searching and browsing operations, but they can also play an important role to foster Digital Humanities research. In order to catalyze experimentation with NER and TE, the paper proposes an evaluation of the performance of three third-party entity extraction services through a comprehensive case study, based on the descriptive fields of the Smithsonian Cooper-Hewitt National Design Museum in New York. In order to cover both NER and TE, we first offer a quantitative analysis of named-entities retrieved by the services in terms of precision and recall compared to a manually annotated gold-standard corpus, then complement this approach with a more qualitative assessment of relevant terms extracted. Based on the outcomes of this double analysis, the conclusions present the added value of entity extraction services, but also indicate the dangers of uncritically using NER and/or TE, and by extension Linked Data principles, within the Digital Humanities. All metadata and tools used within the paper are freely available, making it possible for researchers and practitioners to repeat the methodology. By doing so, the paper offers a significant contribution towards understanding the value of entity recognition and disambiguation for the Digital Humanities.

show abstract

Section: Previous Use Of Ner Within the Digital Humanitiesmentioning

confidence: 99%

Exploring entity recognition and disambiguation for cultural heritage collections

Hooland¹,

Wilde²,

Verborgh³

et al. 2013

Digital Scholarship in the Humanities

View full text Add to dashboard Cite

show abstract

“…This schema was found to be effective in classifying tags in the image domain [32] as well as in our earlier user studies [26]. To classify our tags for this type of interface, we also used Amazon Mechanical Turk.…”

Section: The Faceted Tag Cloud Interfacementioning

confidence: 99%

“…More complicated search tasks "beyond lookup" are typically called exploratory search tasks [27,9]. Exploratory search assumes that the user has some broader information need that cannot be simply met by a "relevant" information item (as in simple lookup search), but requires multiple searches interwoven with browsing and analysis of the retrieved information [26].…”

Section: Search Tasksmentioning

confidence: 99%

“…Furthermore, according to our previous study [26] on image search, where we discovered that facets help users in exploring a large collection of images, we also investigate a faceted tag clouds interface in this study (cf. [32]).…”

Section: Related Workmentioning

confidence: 99%

“…The tag-based interfaces explored in the study include a search-based interface that plays the role of a baseline and two types of tag-based browsing interfaces: a regular browsing interface using traditional tag clouds and a faceted browsing interface using classified tag clouds. We selected the faceted tag cloud interface from among other advanced tag-based browsing approaches because our previous study [26] in the image search domain revealed that faceted search interfaces helped users to better explore large collections of images. …”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating tag-based information access in image collections

Trattner

Lin

Parra

et al. 2012

Proceedings of the 23rd ACM Conference on Hypertext and Social Media

Self Cite

View full text Add to dashboard Cite

The availability of social tags has greatly enhanced both searchbased and browsing-based access to information. Tag clouds, emerged as a new "social" way to find and visualize information providing both one-click access to information and a snapshot of the "aboutness" of a tagged collection. A range of research projects explored and compared different types of tag artifacts for information access ranging from regular tag clouds to tag hierarchies. At the same time, there is a lack of user studies that compare the effectiveness of different types of tag-based browsing interfaces from the users point of view. This paper contributes to the research on tag-based information access by presenting controlled user study that compared three types of tag-based browsing interfaces on two recognized types of search tasks -lookup and exploratory search tasks. Our results demonstrate that tag-based browsing interfaces significantly outperforms traditional search only Interfaces in both performance and user satisfaction. At the same time, the differences between the two types of tag-based browsing interfaces are not as clear. While users think they want a more advanced interface, they perform better with a simpler tag cloud interface.

show abstract

A study of visually linked keywords to support exploratory browsing in academic search

Hoeber

Shukla

2022

Asso for Info Science & Tech

View full text Add to dashboard Cite

While the search interfaces used by common academic digital libraries provide easy access to a wealth of peer-reviewed literature, their interfaces provide little support for exploratory browsing. When faced with a complex search task (such as one that requires knowledge discovery), exploratory browsing is an important first step in an exploratory search process. To more effectively support exploratory browsing, we have designed and implemented a novel academic digital library search interface (KLink Search) with two new features: visually linked keywords and an interactive workspace. To study the potential value of these features, we have conducted a controlled laboratory study with 32 participants, comparing KLink Search to a baseline digital library search interface modelled after that used by IEEE Xplore. Based on subjective opinions, objective performance, and behavioural data, we show the value of adding lightweight visual and interactive features to academic digital library search interfaces to support exploratory browsing.

show abstract

Imagesieve: Exploratory search of museum archives with named entity-based faceted browsing

Cited by 14 publications

References 23 publications

Exploring entity recognition and disambiguation for cultural heritage collections

Exploring entity recognition and disambiguation for cultural heritage collections

Evaluating tag-based information access in image collections

A study of visually linked keywords to support exploratory browsing in academic search

Contact Info

Product

Resources

About