A Generic Platform for Ontological Query Answering

Abstract

The paper presents ALASKA, a multi-layered platform enabling to perform ontological conjunctive query answering (OCQA) over heterogeneously-stored knowledge bases in a generic, logic-based manner. While this problem knows today a renewed interest in knowledge-based systems with the semantic equivalence of different languages widely studied, from a practical view point this equivalence has been not made explicit. Moreover, the emergence of graph database provides competitive storage methods not yet addressed by existing literature.

Representing Multi-scale Datalog $$+/-$$ Using Hierarchical Graphs

“…The tractability conditions of the considered rule based language rely on dierent saturation (chase) methods [17]. The language can be equivalently seen in a logically sound and complete graph based representation [14] [4].…”