Abstract: This paper discusses RDF related work in the context of OpenLink Virtuoso, a general purpose relational / federated database and applications platform. We discuss adaptin...
Discovering links between different data items in a single data source or across different data sources is a challenging problem faced by many information systems today. In partic...
Supporting semantic queries in relational databases is essential to many advanced applications. Recently, with the increasing use of ontology in various applications, the need for...
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
XML has emerged as the standard data exchange format for Internet-based business applications. This has created the need to publish existing business data, stored in relational da...
Jayavel Shanmugasundaram, Jerry Kiernan, Eugene J....
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Mining relational data often boils down to computing clusters, that is finding sub-communities of data elements forming cohesive sub-units, while being well separated from one an...
For the foreseeable future, most data will continue to be stored in relational databases. To work with these data in ontology-based applications, tools and techniques that bridge t...
Martin J. O'Connor, Ravi Shankar, Samson W. Tu, Cs...
We developed a system that extracts and visualizes the network structures from relational data on spreadsheets. Visualization through network diagrams obtained from relational data...