Agent-Based Web Resource Acquisition System for Scientific Knowledge Base

The paper presents the summary of design, development, and deployment of the Web Resource Acquisition System as a mean to gather knowledge and scientific resources for common University Knowledge Base. This module was designed and developed under the SYNAT research project. The module uses common logical data interface developed for this purpose and is integrated with the user presentation layer of the Knowledge Base from the Warsaw University of Technology. The work emphasizes on the usage of definition and strategies in the context of Knowledge Delivery problem. Presented solution can be interpreted as an alternative to web crawlers when it comes to general problem of browsing through the Internet data. In particular, the effort was put on in-depth coverage of requested domain of knowledge when specifying query. At the same time, integration with the semi-automatic classification module was performed to support assessment of the retrieved resources with respect of their types. That resulted in development of Multi Agent System for universal resource delivery. Heterogeneous knowledge sources as Bing, Google, CiteSeer, etc. were used to provide wide-ranging input data from the Internet.