Material Detail

A major challenge for next generation data mining systems is creative knowledge discovery from diverse and distributed data/knowledge sources. In this task, an important challenge is information fusion of diverse representations into a unique data/knowledge format. This paper focuses on the graph representation of data/knowledge generated from text documents available on the web. The problem addressed is how to efficiently and effectively create an information network, named a BisoNet, from large text corpora. Several options concerning node and arc representation are discussed, and a case study information network is created from articles concerning autism, downloaded from the PubMed repository of medical publications. Open issues and lessons learned concerning representation choices are discussed.

This will delete the comment from the database. This operation is not reversible. Are you sure you want to do it?

Thank you for reporting a broken "Go to Material" link in MERLOT to help us maintain a collection of valuable learning materials.

If you feel this material is inappropriate for the MERLOT Collection, please click SEND REPORT, and the MERLOT Team will investigate. Thank you!