Paper accepted at DEXA 2019

dexa2019-logoWe are very pleased to announce that our group got a paper accepted for presentation at the DEXA 2019: 30th International Conference on Database and Expert Systems Applications, which will be held on August 26 – 29, 2019, Linz, Austria.  

DEXA provides a forum to present research results and to examine advanced applications in the field. The conference and its associated workshops offer an opportunity for developers, scientists, and users to extensively discuss requirements, problems, and solutions in database, information, and knowledge systems. 

Here is the pre-print of the accepted paper with its abstract: 

Abstract: Context-specific description of entities –expressed in RDF– poses challenges during data-driven tasks, e.g., data integration, and context-aware entity matching represents a building-block for these tasks. However, existing approaches only consider inter-schema mapping of data sources, and are not able to manage several contexts during entity matching. We devise COMET, an entity matching technique that relies on both the knowledge stated in RDF vocabularies and context-based similarity metrics to match \textit{contextually equivalent} entities. COMET executes a novel 1-1 perfect matching algorithm for matching contextually equivalent entities based on the combined scores of semantic similarity and context similarity. COMET employs the Formal Concept Analysis algorithm in order to compute the context similarity of RDF entities. We empirically evaluate the performance of COMET on a testbed from DBpedia. The experimental results suggest that COMET is able to accurately match equivalent RDF graphs in a context-dependent manner.

This work was partially funded by the European project QualiChain (GA~822404).

Looking forward to seeing you at The DEXA 2019.