In this paper we present Triplify-a simplistic but effective approach to publish Linked Data
from relational databases. Triplify is based on mapping HTTP-URI requests onto relational …

Identifying correlations and relationships between entities within and across different data
sets (or databases) is of great importance in many domains. The data warehouse-based …

Linked Data is a way of exposing and sharing data as resources on the Web and interlinking
them with semantically related resources. In the last three years significant amounts of data …

A* is the algorithm of finding the shortest path between two nodes in a graph. When the
searching problem is constituted of a set of linked graphs, A* searches solution like if it is …

This paper describes our work concerning the definition of a neutral, abstract ontology, and
framework that supports the vision and diverse contexts of a smart community. This …

Data integration is a highly important prerequisite for most enterprise data analyses. While
hard in general, a particular concern is about human effort for designing a global integration …

The two main goals of this thesis are to demonstrate applications of semantic web
applications for domains with semi-structured data and propose scalable techniques for …

Logic Programming became a very useful paradigm in many different areas and thus
several languages (and solvers) have been created to support various kinds of reasoning …