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Dynamic Realms for Situational Contextual Typeahead

IP.com Disclosure Number: IPCOM000202118D
Publication Date: 2010-Dec-04
Document File: 2 page(s) / 26K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a method to extend the capabilities of type-ahead input fields and improve the user experience through the use of dynamic realms for situational contextual type-ahead. The invention allows for contextual type-ahead that is primed and relevant for the data/subject matter realm. The method entails the auto-assignment of realms on an enterprise application server.

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Dynamic Realms for Situational Contextual Typeahead

Type-ahead (also known as suggest or auto-complete) input fields are in place to improve the user experience. While type-ahead has proven useful in areas such as name resolution (e.g. addressing mails) and fixed test fields, the current state of the art technology is limited.

All cases in the background art provide solutions to type-ahead in deterministic contexts. If the user is addressing an email then a client-server web 2.0 exchange helps prompt candidate names when a part of the name is entered. In fixed format fields it can help auto-fill entities of state, country, etc., where the outset pre-association of values with the fixed format field yields the candidate corpus from which type-ahead can draw.

Exploitation of type-ahead in state of the art products and applications is limited as follows:
• Consider an enterprise application server that is hosting multiple WiKis. A user is participating in one of the hosted WiKis that is concerned with discussing plants, flowers, or trees. Assume that in an adjacent WiKi the theme or topic is "cars". Assume that in yet another adjacent WiKi the topic is "bicycles". Assume that in yet another adjacent WiKi the topic is "The works of Oscar Wilde". Each of these WiKis contains an implicit realm that encapsulates vocabulary, topic relevant text, topic relevant content and context. Within each of these realms there are keywords, vocabulary, topic relevant text, topic relevant content and context that is relevant and specific to that realm. The ability to establish a dynamic realm-sensitive type-ahead corpus is a gap in the current state of the art products, where such a realm would be scooped to the WiKi in question, and provide type-ahead in the context of that wiki

• Consider a cloud or hosted multi-tenancy environment. The web application hosted can be one or many: document libraries, blogs, WiKis, email, eMeetings, file-sharing and so on. Implicitly, each tenant in a multi-tenant infrastructure is encapsulated in its own realm (i.e. the tenant superset realm). Within a tenant's realm there are sub-realms for each of the applications that they host. Within each of these sub-realms there is the potential for a further layer of realms. For example, a multi-tenancy cloud infrastructure accommodating 1000 tenants in which one tenant pays for 10 web applications and where one of these web applications is a discussion forum, in which there are multiple discussion databases/topics. State of the art in Typeahead does not explore the notion of dynamic realms that encapsulate tenants, nor the notion of sub-realms to govern both the web applications hosted for this tenant, as well as the realms that are implicit within any one web application that caters for multiple audiences/topics. Realm based type-ahead capabilities would improve the user experience in these, specifically where we can associate a corpus...