@article {593,
	title = {AI for Traffic Analytics},
	journal = {The IEEE Intelligent Informatics Bulletin},
	volume = {17},
	year = {2016},
	chapter = {21},
	author = {Raghava Mutharaju and Freddy L{\'e}cu{\'e} and Jeff Z. Pan and Jiewen Wu and Pascal Hitzler}
}
@conference {7,
	title = {Revisiting default description logics {\textendash} and their role in aligning ontologies},
	booktitle = {Semantic Technology, 4th Joint International Conference, JIST 2014},
	volume = {8943},
	year = {2014},
	month = {11/2014},
	pages = {3-18},
	publisher = {Lecture Notes in Computer Science, Springer},
	organization = {Lecture Notes in Computer Science, Springer},
	address = {Chiang Mai, Thailand},
	abstract = {We present a new approach to extend the Web Ontology Language (OWL) with the capabilities to reason with defaults. This work improves upon the previously established results on integrating defaults with description logics (DLs), which were shown to be decidable only when the application of defaults is restricted to named individuals in the knowledge base. We demonstrate that the application of defaults (integrated with DLs) does not have to be restricted to named individuals to retain decidability and elaborate on the application of defaults in the context of ontology alignment and ontology-based systems.},
	keywords = {default logic, defaults, description logics, Ontology Alignment},
	doi = {10.1007/978-3-319-15615-6_1},
	author = {Kunal Sengupta and Pascal Hitzler and Krzysztof Janowicz},
	editor = {T. Supnithi and T. Yamaguchi and Jeff Z. Pan and V. Wuwongse and M. Buranarach}
}
@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 {111,
	title = {Ontology Alignment for Linked Open Data},
	booktitle = {The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference, ISWC 2010},
	volume = {6496},
	year = {2010},
	pages = {402{\textendash}417},
	publisher = {Springer},
	organization = {Springer},
	address = {Shanghai, China},
	abstract = {<p class="rtejustify">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.</p>
},
	doi = {10.1007/978-3-642-17746-0_26},
	url = {http://dx.doi.org/10.1007/978-3-642-17746-0_26},
	author = {Prateek Jain and Pascal Hitzler and Amit Sheth and Kunal Verma and Peter Z. Yeh},
	editor = {Peter F. Patel-Schneider and Yue Pan and Pascal Hitzler and Peter Mika and Lei Zhang and Jeff Z. Pan and Ian Horrocks and Birte Glimm}
}
@proceedings {299,
	title = {The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part II},
	journal = {9th International Semantic Web Conference, ISWC 2010},
	volume = {6497},
	year = {2010},
	publisher = {Springer},
	address = {Shanghai, China},
	editor = {Peter F. Patel-Schneider and Yue Pan and Pascal Hitzler and Peter Mika and Lei Zhang and Jeff Z. Pan and Ian Horrocks and Birte Glimm}
}
@proceedings {298,
	title = {The Semantic Web - ISWC 2010. 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I},
	journal = {9th International Semantic Web Conference, ISWC 2010},
	volume = {6496},
	year = {2010},
	publisher = {Springer},
	address = {Shanghai, China},
	editor = {Peter F. Patel-Schneider and Yue Pan and Pascal Hitzler and Peter Mika and Lei Zhang and Jeff Z. Pan and Ian Horrocks and Birte Glimm}
}
