Associative & Semantic Browsing

Semantic Browser ASB

The ASB tool is usable for comprehensive cluster and knowledge tree browsing. The user browses intuitively and in an associative manner in coupled subject trees and knowledge domains. It provides a service for easy and comfortable knowledge and data discovery through showing up relationships between objects and related knowledge areas. The ASB module accesses the coupled subject and task trees (domains) stored in the kernel module. The knowledge objects recommended by the system are rated with respect to given relevancy coefficients and are furthermore clustered with respect to the user chosen input values and requests. Comprehensive presentation pages and given URLs provide detailed investigation facilities of the object itself. Five different kind of associative cluster browsing is implemented:

• keyword browsing

This tool provides simple keyword browsing. The user starts selecting a known keyword - the system recommends objects with high relevancy coefficients. The objects are sorted in three sub classes according to their relationship and relevancy related to the users request. Additionally related and weighted keywords are provided for further searching by click.

• browsing by keyword-keyword (fuzzy context) switching

A tool for switching and "jumping" between keywords in relation to different subject trees. The related keywords are presented also within 3 sub classes. For each keyword exists different subclasses.

• author browsing

A browsing facility for searching specific authors and related authors working in related areas. Herewith a tool is given for discovering and exploring related and/or specialized authors and scientists linked to chosen and predefined knowledge and working areas.

• title browsing

Title browsing - presenting related titles with respect to related objects. The main information source is hereby given within the title.

• subject tree browsing

showing the objects related to a chosen subject resp. domain; information about relevancy coefficients and relationship coefficients to further domains,

For all recommended objects a consecutive processed presentation page gives more detailed information and the links to the original objects.

Semantic Information Integration

The search request as textual information is combined with structured (semantically annotated) information (e.g. lists, databases, meta data) and further given kernel and domain specific access rules (rule base). Instead of providing links to sites and documents containing the requested content the main ability of the system is to provide essential knowledge content (concepts, conceptional objects).