2009
DOI: 10.1108/07378830910942973
|View full text |Cite
|
Sign up to set email alerts
|

One box to search them all

Abstract: Purpose: In May, 2008, the Ad Hoc Committee on Federated Search was formed to prepare a preliminary report on federated searching for a special meeting of Librarians Academic Council at Memorial University Libraries. The primary purpose was to discuss current implementation of federated searching at this institution, explore what other institutions have done, examine federated search technologies, and offer recommendations for the future of this resource.Design/methodology/approach: Information was drawn from … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2010
2010
2021
2021

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 25 publications
(6 citation statements)
references
References 30 publications
0
6
0
Order By: Relevance
“…It can be divided into two major categories, i.e. cross search, which searches distributed sources simultaneously and presents the results in a common results interface; and harvested search, which retrieves the contents of multiple distributed databases, normalizes the records, and stores them in a large union index (Gibson, Goddard, & Gordon, 2009). Federated searching has some limitations, such as lack of relevancy-ranked results and inability to eliminate duplicate records, and so retrieves very limited information.…”
Section: Discovery Layersmentioning
confidence: 99%
“…It can be divided into two major categories, i.e. cross search, which searches distributed sources simultaneously and presents the results in a common results interface; and harvested search, which retrieves the contents of multiple distributed databases, normalizes the records, and stores them in a large union index (Gibson, Goddard, & Gordon, 2009). Federated searching has some limitations, such as lack of relevancy-ranked results and inability to eliminate duplicate records, and so retrieves very limited information.…”
Section: Discovery Layersmentioning
confidence: 99%
“…This approach offers huge advantages in speed and in the logic that can be applied to the presentation and sorting of results.' 6 Resource discovery should not be confused with knowledge bases and link resolvers. Resource discovery allows users to query preharvested content with a single search interface; this requires that the full text of publisher content is indexed within the discovery system.…”
Section: Resource Discovery and The Impact On Librariesmentioning
confidence: 99%
“…Resource discovery allows users to query preharvested content with a single search interface; this requires that the full text of publisher content is indexed within the discovery system. Knowledge bases and link resolvers use standards such as KBART 7 to find appropriate content. One of the issues is that although, 'knowledge bases are increasingly positioned as an integral component of a broader set of inter-related products from each vendor', 8 they can also be treated as standalone systems.…”
Section: Resource Discovery and The Impact On Librariesmentioning
confidence: 99%
“…Since 2009, a number of web scale discovery systems have come to market; these systems move a step beyond the traditional federated-search products by creating a union index of harvested content direct from publishers and local library collections in order to make searching simple and fast (Gibson, Goddard and Gordon, 2009). Unlike federated search, web scale discovery means that users no longer have to wait for the slowest resource to retrieve a search before all results are displayed, or to have to negotiate separate online resource platforms in order to find information.…”
Section: Simplifying Resource Discovery: Summon Tm Projectmentioning
confidence: 99%