Semantics for Big Data: Papers from the AAAI Symposium
Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz, Cochairs
One of the key challenges in making use of big data lies in finding ways of dealing with heterogeneity, diversity, and complexity of the data, while its volume and velocity forbid solutions available for smaller datasets as based, for example, on manual curation or manual integration of data.
Semantic web technologies are meant to deal with these issues, and indeed since the advent of linked data a few years ago, they have become central to mainstream semantic web research and development. We can easily understand linked data as being a part of the greater big data landscape, as many of the challenges are the same. The linking component of linked data, however, puts an additional focus on the integration and conflation of data across multiple sources.