This paper describes the development of a new document ranking system based on layout similarity. The user has a need represented by a set of ”wanted” documents, and the syste...
May Huang, Daniel DeMenthon, David S. Doermann, Ly...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
When describing Web services, one of the obvious aspects that needs representing is Quality of Service” (QoS), the capability of a Web service to meet an acceptable level of ser...
In this paper, we propose the ontology-based semantic web search model to enhance efficiency and accuracy of information retrieval for unstructured and semi-structured documents. N...