AquaBrowser: Search and information discovery for libraries

Ekkel, Taco; Kaizer, Jasper

doi:10.3233/isu-2007-271-206

Cited by 2 publications

(2 citation statements)

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“…Ekkel and Kaizer (2007) refer to Aquabrowser's goal to “search, discover, [and] refine” in library catalogs, asserting that the fundamental purpose of Aquabroswer is not to help the library professional, but to help the library user (p. 79‐80). The authors also comment on the social aspect of Aquabrowser, discussing the ability for users to create groups, connect to other members' reading lists, and invite users to “tag, review, and annotate any item in the collection, and to share [it] with others” (p. 81).…”

Section: Literature Reviewmentioning

confidence: 99%

A tangle of tags: The impact of user‐generated tagging in public library catalogs

Williams

2013

Proc of Assoc for Info

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With the increased adoption of catalog packages such as Bibliocommons and Aquabrowser comes a need to investigate the ways in which folksonomic tools impact the amount and quality of user tagging in public library catalogs. This pilot study compares two public library catalogs from library systems in the Midwestern United States. The underlying goals of the investigation were to compare the two catalogs to see whether 1) pronounced differences between the folksonomies of user tags existed in both library catalogs, in number of tags for selected titles and scope/coverage of tags; and 2) how the tags from MPLS compare to the tags presented in Aquabrowser's supplemental tag cloud and RPL and the implications inherent in these comparisons. Using the Book Industry Standard and Communications (BISAC) subject headings, user tags from the two library catalogs were coded and compared for scope and frequency. Results indicate that RPL, which uses Aquabrowser, has significantly more user tags that cover a broader scope than those of MPLS. Findings demonstrate the need for further consideration of user tagging in Web 2.0 catalogs.

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Section: Literature Reviewmentioning

confidence: 99%

A tangle of tags: The impact of user‐generated tagging in public library catalogs

Williams

2013

Proc of Assoc for Info

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“…Another notable search application with an alternative search interface is created to search in libraries (Ekkel and Kaizer, 2007). This so-called aquabrowser creates a word cloud from spelling variants, translations, synonyms, associations, thesaurus terms and the discovery trail (previous queries), where each type is represented by a different colour.…”

Section: Related Workmentioning

confidence: 99%

Effective focused retrieval by exploiting query context and document structure

Kaptein

2012

SIGIR Forum

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The classic IR model of the search process consists of three elements: query, documents and search results. A user looking to fulfil an information need formulates a query usually consisting of a small set of keywords summarising the information need. The goal of an IR system is to retrieve documents containing information which might be useful or relevant to the user. Throughout the search process there is a loss of focus, because keyword queries entered by users often do not suitably summarise their complex information needs, and IR systems do not sufficiently interpret the contents of documents, leading to result lists containing irrelevant and redundant information. The main research objective of this thesis is to exploit query context and document structure to provide for more focused retrieval.The short keyword query used as input to the retrieval system can be supplemented with topic categories from structured Web resources such as DMOZ and Wikipedia. Topic categories can be used as query context to retrieve documents that are not only relevant to the query but also belong to a relevant topic category. Category information is especially useful for the task of entity ranking where the user is searching for a certain type of entity such as companies or persons. Category information can help to improve the search results by promoting in the ranking pages belonging to relevant topic categories, or categories similar to the relevant categories. By following external links and searching for the retrieved Wikipedia entities in a general Web collection, we can also exploit the structure of Wikipedia to rank entities on the general Web. Wikipedia, in contrast to the general Web, does not contain much redundant information. This absence of redundant information can be exploited by using Wikipedia as a pivot to search the general Web.A typical query returns thousands or millions of documents, but searchers hardly ever look beyond the first result page. Since space on the result page is limited, we can show only a few documents in the result list. Word clouds can be used to summarise groups of documents into a set of keywords which allows users to quickly get a grasp on the underlying data. Instead of using user-assigned tags we generate word clouds from the textual contents of documents themselves as well as the anchor text of Web documents. Improvements over word clouds that are created using simple term frequency counting include using a parsimonious term weighting scheme, including bigrams and biasing the word cloud towards the query. We find that word clouds can to a certain degree quickly convey the topic and relevance of a set of search results. Available online at:

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AquaBrowser: Search and information discovery for libraries

Cited by 2 publications

References 1 publication

A tangle of tags: The impact of user‐generated tagging in public library catalogs

A tangle of tags: The impact of user‐generated tagging in public library catalogs

Effective focused retrieval by exploiting query context and document structure

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