In this paper, we use the structural and relational information on the Web to find entity-pages. Specifically, given a Web site and an entity-page (e.g., department and faculty ...
Tim Weninger, Fabio Fumarola, Cindy Xide Lin, Rick...
We describe an efficient implementation (MRDTL-2) of the Multi-relational decision tree learning (MRDTL) algorithm [23] which in turn was based on a proposal by Knobbe et al. [19] ...
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
This work addresses the use of computational linguistic analysis techniques for conceptual graphs learning from unstructured texts. A technique including both content mining and i...
Text data pertaining to socio-technical networks often are analyzed separately from relational data, or are reduced to the fact and strength of the flow of information between node...