Pascal Hitzler

Ontology alignment for linked open data

The Web of Data currently coming into existence through the Linked Open Data (LOD) effort is a major milestone in realizing the Semantic Web vision. However, the development of applications based on LOD faces difficulties due to the fact that the different LOD datasets are rather loosely connected pieces of information. In particular, links between LOD datasets are almost exclusively on the level of instances, and schema-level information is being ignored. In this paper, we therefore present a system for finding schema-level links between LOD datasets in the sense of ontology alignment. Our system, called BLOOMS, is based on the idea of bootstrapping information already present on the LOD cloud. We also present a comprehensive evaluation which shows that BLOOMS outperforms state-of-the-art ontology alignment systems on LOD datasets. At the same time, BLOOMS is also competitive compared with these other systems on the Ontology Evaluation Alignment Initiative Benchmark datasets.

ELP: Tractable Rules for OWL 2

We introduce

Concept learning in description logics using refinement operators

\text{\sf{ELP}}

Description Logic Rules

as a decidable fragment of the Semantic Web Rule Language (SWRL) that admits reasoning in polynomial time.

Logic Programs and Connectionist Networks

\text{\sf{ELP}}

Linked Data, Big Data, and the 4th Paradigm

is based on the tractable description logic

Algorithms for Paraconsistent Reasoning with OWL

\mathcal{EL}^{\mathord{+}\mathord{+}}

Local closed world reasoning with description logics under the well-founded semantics

, and encompasses an extended notion of the recently proposed DL rules for that logic. Thus

String Similarity Metrics for Ontology Alignment

\text{\sf{ELP}}

DOLCE ergo SUMO: On foundational and domain models in the SmartWeb Integrated Ontology (SWIntO)

extends