title: UMLSKS SUGGEST: an auto-complete feature for the UMLSKS interface using AJAX.
abstract: The idea behind any auto-complete feature is to suggest words or phrases which are likely to complete what the user is typing. The user can then select a suggestion and avoid typing it in full. This feature by all accounts has enhanced the usability of web interfaces. Typically browsers implement this feature by caching a fixed number of queries, previously entered by the user on the client side. Google Suggest (http://ajaxpatterns.org/Suggestion) is an application that replaces a browser's auto-complete feature with one specific to Google searching. Implementing a google suggest like feature requires a large server infrastructure, as basically every time you type a letter, a database is being hit. One of the ways that this feature can be implemented by many applications without access to a large server infrastructure would be to create a small list of suggestions that contains the most likely suggestions for any given application In this poster we describe the methodology used to create a list of suggestions for the UMLS Knowledge Source Server (UMLSKS) interface. We believe that this methodology can be used by any web based application to create a list of suggestions.
authors.affiliation: US National Library of Medicine, Bethesda, Maryland, USA.
authors.forename: Anantha
authors.initials: A
authors.lastname: Bangalore
authors.forename: Allen
authors.initials: A
authors.lastname: Browne
authors.forename: Guy
authors.initials: G
authors.lastname: Divita
mesh_terms: D016247:Information Storage and Retrieval; D020407:Internet; D017432:Unified Medical Language System; D014584:User-Computer Interface