@article {54,
	title = {Semantics for Big Data},
	journal = {AI Magazine},
	volume = {36},
	year = {2015},
	pages = {3{\textendash}4},
	url = {http://www.aaai.org/ojs/index.php/aimagazine/article/view/2559},
	author = {Frank van Harmelen and James A. Hendler and Pascal Hitzler and Krzysztof Janowicz}
}
@article {55,
	title = {Why the Data Train Needs Semantic Rails},
	journal = {AI Magazine},
	volume = {36},
	year = {2015},
	pages = {5{\textendash}14},
	abstract = {While catchphrases such as big data, smart data, data intensive science, or smart dust highlight different aspects, they share a common theme: Namely, a shift towards a data-centric perspective in which the synthesis and analysis of data at an ever-increasing spatial, temporal, and thematic resolution promises new insights, while, at the same time, reducing the need for strong domain theories as starting points. In terms of the envisioned methodologies, those catchphrases tend to emphasize the role of predictive analytics, i.e., statistical techniques including data mining and machine learning, as well as supercomputing. Interestingly, however, while this perspective takes the availability of data as a given, it does not answer the question how one would discover the required data in today{\textquoteright}s chaotic information universe, how one would understand which datasets can be meaningfully integrated, and how to communicate the results to humans and machines alike. The Semantic Web addresses these questions. In the following, we argue why the data train needs semantic rails. We point out that making sense of data and gaining new insights works best if inductive and deductive techniques go hand-in-hand instead of competing over the prerogative of interpretation.},
	url = {http://www.aaai.org/ojs/index.php/aimagazine/article/view/2560},
	author = {Krzysztof Janowicz and Frank van Harmelen and James A. Hendler and Pascal Hitzler}
}
@article {57,
	title = {Reports on the 2013 AAAI Fall Symposium Series},
	journal = {AI Magazine},
	volume = {35},
	year = {2014},
	pages = {69{\textendash}74},
	url = {http://www.aaai.org/ojs/index.php/aimagazine/article/view/2538},
	author = {Gully Burns and Yolanda Gil and Yan Liu and Natalia Villanueva-Rosales and Sebastian Risi and Joel Lehman and Jeff Clune and Christian Lebiere and Paul S. Rosenbloom and Frank van Harmelen and James A. Hendler and Pascal Hitzler and Krzysztof Janowicz and Samarth Swarup}
}
@proceedings {310,
	title = {Semantics for Big Data: Papers from the AAAI Symposium, November 15-17, 2013, Arlington, Virginia},
	journal = {AAAI Symposium on Semantics for Big Data},
	year = {2013},
	address = {Arlington, Virginia, USA},
	editor = {Frank van Harmelen and James A. Hendler and Pascal Hitzler and Krzysztof Janowicz}
}
@conference {160,
	title = {Very Large Scale OWL Reasoning through Distributed Computation},
	booktitle = {11th International Semantic Web Conference (ISWC 2012), Proceedings, Part II},
	volume = {7650},
	year = {2012},
	pages = {407{\textendash}414},
	publisher = {Springer},
	organization = {Springer},
	address = {Boston, MA, USA},
	abstract = {<p class="rtejustify">Due to recent developments in reasoning algorithms of the\&nbsp;various OWL profiles, the classification time for an ontology has come\&nbsp;down drastically. For all of the popular reasoners, in order to process\&nbsp;an ontology, an implicit assumption is that the ontology should fit in\&nbsp;primary memory. The memory requirements for a reasoner are already\&nbsp;quite high, and considering the ever increasing size of the data to be\&nbsp;processed and the goal of making reasoning Web scale, this assumption\&nbsp;becomes overly restrictive. In our work, we study several distributed\&nbsp;classification approaches for the description logic EL+ (a fragment of OWL 2 EL profile). We present the lessons learned from each approach, our current results, and plans for future work.</p>
},
	keywords = {Distributed Reasoning, Ontology Classification, OWL EL},
	doi = {10.1007/978-3-642-35173-0_30},
	url = {http://dx.doi.org/10.1007/978-3-642-35173-0_30},
	author = {Raghava Mutharaju},
	editor = {Philippe Cudr{\'e}-Mauroux and Jeff Heflin and Evren Sirin and Tania Tudorache and J{\'e}r{\^o}me Euzenat and Manfred Hauswirth and Josiane Xavier Parreira and James A. Hendler and Guus Schreiber and Abraham Bernstein and Eva Blomqvist}
}
