Streaming the Web: Reasoning over Dynamic Data

Streaming the Web: Reasoning over Dynamic Data. Margara, A., Urbani, J., van Harmelen, F., & Bal, H. Journal of Web Semantics, 25:24-44, Elsevier, 2014.

Paper doi abstract bibtex 36 downloads

In the last few years a new research area, called stream reasoning, emerged to bridge the gap between reasoning and stream processing. While current reasoning approaches are designed to work on mainly static data, theWeb is, on the other hand, extremely dynamic: information is frequently changed and updated, and new data is continuously generated from a huge number of sources, often at high rate. In other words, fresh information is constantly made available in the form of streams of new data and updates. Despite some promising investigations in the area, stream reasoning is still in its infancy, both from the perspective of models and theories development, and from the perspective of systems and tools design and implementation. The aim of this paper is threefold: (i) we identify the requirements coming from dierent application scenarios, and we isolate the problems they pose; (ii) we survey existing approaches and proposals in the area of stream reasoning, highlighting their strengthsand limitations; (iii) we draw a research agenda to guide the future research and development of stream reasoning. In doing so, we also analyze related research fields to extract algorithms, models, techniques, and solutions that could be useful in the area of stream reasoning.

@article{JWS2014,
  author = {Alessandro Margara and Jacopo Urbani and Frank van Harmelen 
            and Henri Bal},
  title = {Streaming the Web: Reasoning over Dynamic Data},
  journal = {Journal of Web Semantics},
  volume = 25,
  pages = {24-44},
  year = 2014,
  publisher = {Elsevier},
  abstract = {In the last few years a new research area, called stream
    reasoning, emerged to bridge the gap between reasoning and stream
    processing. While current reasoning approaches are designed to work on
    mainly static data, theWeb is, on the other hand, extremely dynamic:
    information is frequently changed and updated, and new data is
    continuously generated from a huge number of sources, often at high
    rate. In other words, fresh information is constantly made available
    in the form of streams of new data and updates. Despite some promising
    investigations in the area, stream reasoning is still in its infancy,
    both from the perspective of models and theories development, and from
    the perspective of systems and tools design and implementation. The
    aim of this paper is threefold: (i) we identify the requirements
    coming from dierent application scenarios, and we isolate the problems
    they pose; (ii) we survey existing approaches and proposals in the
    area of stream reasoning, highlighting their strengthsand limitations;
    (iii) we draw a research agenda to guide the future research and
    development of stream reasoning. In doing so, we also analyze related
    research fields to extract algorithms, models, techniques, and
    solutions that could be useful in the area of stream reasoning.}, 
  issn = {1570-8268}, 
  keywords = {Stream Reasoning},
  doi = {http://dx.doi.org/10.1016/j.websem.2014.02.001},
  url = "http://www.cs.vu.nl/~frankh/postscript/JWS2014.pdf"
}

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