Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

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

UNSPECIFIED (2010) ImageSieve: Exploratory search of museum archives with named entity-based faceted browsing. Proceedings of the ASIST Annual Meeting, 47.

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (1MB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Over the last few years, faceted search emerged as an attractive alternative to the traditional "text box" search and has become one of the standard ways of interaction on many e-commerce sites. However, these applications of faceted search are limited to domains where the objects of interests have already been classified along several independent dimensions, such as price, year, or brand. While automatic approaches to generate faceted search interfaces were proposed, it is not yet clear to what extent the automatically-produced interfaces will be useful to real users, and whether their quality can match or surpass their manually-produced predecessors. The goal of this paper is to introduce an exploratory search interface called ImageSieve, which shares many features with traditional faceted browsing, but can function without the use of traditional faceted metadata. ImageSieve uses automatically extracted and classified named entities, which play important roles in many domains (such as news collections, image archives, etc.). We describe one specific application of ImageSieve for image search. Here, named entities extracted from the descriptions of the retrieved images are used to organize a faceted browsing interface, which then helps users to make sense of and further explore the retrieved images. The results of a user study of ImageSieve demonstrate that a faceted search system based on named entities can help users explore large collections and find relevant information more effectively.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Date: 1 November 2010
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Proceedings of the ASIST Annual Meeting
Volume: 47
Event Type: Conference
DOI or Unique Handle: 10.1002/meet.14504701217
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Date Deposited: 03 Aug 2012 20:38
Last Modified: 07 Jan 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/13294

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item