@conference {99,
	title = {Contextual Ontology Alignment of LOD with an Upper Ontology: A Case Study with Proton},
	booktitle = {The Semantic Web: Research and Applications - 8th Extended Semantic Web Conference, ESWC 2011},
	volume = {6643},
	year = {2011},
	pages = {80{\textendash}92},
	publisher = {Springer},
	organization = {Springer},
	address = {Heraklion, Crete, Greece},
	abstract = {<p class="rtejustify">The Linked Open Data (LOD) is a major milestone towards realizing the Semantic Web vision, and can enable applications such as robust Question Answering (QA) systems that can answer queries requiring multiple, disparate information sources. However, realizing these applications requires relationships at both the schema and instance level, but currently the LOD only provides relationships for the latter. To address this limitation, we present a solution for automatically finding schema-level links between two LOD ontologies {\textendash} in the sense of ontology alignment. Our solution, called BLOOMS+, extends our previous solution (i.e. BLOOMS) in two significant ways. BLOOMS+ 1) uses a more sophisticated metric to determine which classes between two ontologies to align, and 2) considers contextual information to further support (or reject) an alignment. We present a comprehensive evaluation of our solution using schema-level mappings from LOD ontologies to Proton (an upper level ontology) {\textendash} created manually by human experts for a real world application called FactForge. We show that our solution performed well on this task. We also show that our solution significantly outperformed existing ontology alignment solutions (including our previously published work on BLOOMS) on this same task.</p>
},
	doi = {10.1007/978-3-642-21034-1_6},
	url = {http://dx.doi.org/10.1007/978-3-642-21034-1_6},
	author = {Prateek Jain and Peter Z. Yeh and Kunal Verma and Reymonrod G. Vasquez and Mariana Damova and Pascal Hitzler and Amit Sheth},
	editor = {Grigoris Antoniou and Marko Grobelnik and Elena Paslaru Bontas Simperl and Bijan Parsia and Dimitris Plexousakis and Pieter De Leenheer and Jeff Z. Pan}
}
@conference {119,
	title = {RaDON - Repair and Diagnosis in Ontology Networks},
	booktitle = {The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009},
	volume = {5554},
	year = {2009},
	pages = {863{\textendash}867},
	publisher = {Springer},
	organization = {Springer},
	address = {Heraklion, Crete, Greece},
	abstract = {<p class="rtejustify">One of the major challenges in managing networked and dynamic ontologies is to handle inconsistencies in single ontologies, and inconsistencies introduced by integrating multiple distributed ontologies. Our RaDON system provides functionalities to repair and diagnose ontology networks by extending the capabilities of existing reasoners. The system integrates several new debugging and repairing algorithms, such as a relevance-directed algorithm to meet the various needs of the users.</p>
},
	doi = {10.1007/978-3-642-02121-3_71},
	url = {http://dx.doi.org/10.1007/978-3-642-02121-3_71},
	author = {Qiu Ji and Peter Haase and Guilin Qi and Pascal Hitzler and Steffen Stadtm{\"u}ller},
	editor = {Lora Aroyo and Paolo Traverso and Fabio Ciravegna and Philipp Cimiano and Tom Heath and Eero Hyv{\"o}nen and Riichiro Mizoguchi and Eyal Oren and Marta Sabou and Elena Paslaru Bontas Simperl}
}
