% This data is distributed under the terms of the Open Data Commons Attribution License (ODC-By) v1.0 - See more at: http://opendatacommons.org/licenses/by/1-0/
% Volume 2, Issue 1, 2016
    @Article{OJBD_2016v2i101_Moon,
        title     = {Conformance of Social Media as Barometer of Public Engagement},
        author    = {Songchun Moon},
        journal   = {Open Journal of Big Data (OJBD)},
        issn      = {2365-029X},
        year      = {2016},
        volume    = {2},
        number    = {1},
        pages     = {1--10},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194393},
        urn       = {urn:nbn:de:101:1-201705194393},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {There have been continuously a number of expectations: Social media may play a role of indicator that shows the degree of engagement and preference of choices of users toward music or movies. However, finding appropriate software tools in the market to verify this sort of expectation is too costly and complicated in their natures, and this causes a number of difficulties to attempt technical experimentation. A convenient and easy tool to facilitate such experimentation was developed in this study and was used successfully for performing various measurements with regard to user engagement in music and movies.}
    }
    @Article{OJBD_2016v2i1n02_Groppe,
        title     = {Constructing Large-Scale Semantic Web Indices for the Six RDF Collation Orders},
        author    = {Sven Groppe and
                     Dennis Heinrich and
                     Christopher Blochwitz and
                     Thilo Pionteck},
        journal   = {Open Journal of Big Data (OJBD)},
        issn      = {2365-029X},
        year      = {2016},
        volume    = {2},
        number    = {1},
        pages     = {11--25},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194418},
        urn       = {urn:nbn:de:101:1-201705194418},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {The Semantic Web community collects masses of valuable and publicly available RDF data in order to drive the success story of the Semantic Web. Efficient processing of these datasets requires their indexing. Semantic Web indices make use of the simple data model of RDF: The basic concept of RDF is the triple, which hence has only 6 different collation orders. On the one hand having 6 collation orders indexed fast merge joins (consuming the sorted input of the indices) can be applied as much as possible during query processing. On the other hand constructing the indices for 6 different collation orders is very time-consuming for large-scale datasets. Hence the focus of this paper is the efficient Semantic Web index construction for large-scale datasets on today's multi-core computers. We complete our discussion with a comprehensive performance evaluation, where our approach efficiently constructs the indices of over 1 billion triples of real world data.}
    }
    @Article{OJBD_2016v2i1n03e_Chang,
        title     = {New Areas of Contributions and New Addition of Security},
        author    = {Victor Chang},
        journal   = {Open Journal of Big Data (OJBD)},
        issn      = {2365-029X},
        year      = {2016},
        volume    = {2},
        number    = {1},
        pages     = {26--28},
        url       = {http://nbn-resolving.de/urn:nbn:de:101:1-201705194405},
        urn       = {urn:nbn:de:101:1-201705194405},
        publisher = {RonPub},
        bibsource = {RonPub},
        abstract = {Open Journal of Big Data (OJBD) (www.ronpub.com/ojbd) is an open access journal, which addresses the aspects of Big Data, including new methodologies, processes, case studies, poofs-of-concept, scientific demonstrations, industrial applications and adoption. This editorial presents two articles published in the first issue of the second volume of OJBD. The first article is about the investigation of social media for the public engagement. The second article looks into large-scale semantic web indices for six RDF collation orders. OJBD has an increasingly improved reputation thanks to the support of research communities. We will set up the Second International Conference on Internet of Things, Big Data and Security (IoTBDS 2017), in Porto, Portugal, between 24 and 26 April 2017. OJBD is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals.}
    }