We present an approach on how to investigate what kind of semantic information is regularly associated with the structural markup of scientific articles. This approach addresses ...
To discover knowledge or retrieve information from a relational database, a user often needs to find objects related to certain source objects. There are two main challenges in b...
This paper suggests the efficient indexing method based on a concept vector space that is capable of representing the semantic content of a document. The two information measure,...
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
This paper presents a spatial-semantic modeling system featuring automated learning of object-place relations from an online annotated database, and the application of these relat...
Pooja Viswanathan, David Meger, Tristram Southey, ...