Evolution and Reactivity in the Semantic Web

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Evolution and reactivity in the Semantic Web address the vision and concrete need for an active Web, where data sources evolve autonomously and perceive and react to events. In 2004, when theRewerseproject started, regarding work on Evolution and Reactivity in the Semantic Web there wasn’t much more than a vision of such an active Web. Materialising this vision requires the definition of a model, architecture, and also prototypical implementations capable of dealing with reactivity in the Semantic Web, including an ontology-based description of all concepts. This resulted in a general framework for reactive Event-Condition-Action rules in the Semantic Web over heterogeneous component languages. Inasmuch as heterogeneity of languages is, in our view, an important aspect to take into consideration for dealing with the heterogeneity of sources and behaviour of the Semantic Web, concrete homogeneous languages targeting the specificity of reactive rules are of course also needed. This is especially the case for languages that can cope with the challenges posed by dealing with composite structures of events, or executing composite actions over Web data. In this chapter we report on the advances made on this front, namely by describing the above-mentioned general heterogeneous framework, and by describing the concrete homogeneous language XChange.
Original languageUnknown
Title of host publicationLecture Notes in Computer Science
EditorsF Bry, J Maluszynski
PublisherSpringer
Pages161-200
Volume5500
ISBN (Print)978-3-642-04580-6
DOIs
Publication statusPublished - 1 Jan 2009
EventSemantic Techniques for the Web, The REWERSE Perspective -
Duration: 1 Jan 2009 → …

Conference

ConferenceSemantic Techniques for the Web, The REWERSE Perspective
Period1/01/09 → …

Cite this

Alferes, J. J. A. (2009). Evolution and Reactivity in the Semantic Web. In F. Bry, & J. Maluszynski (Eds.), Lecture Notes in Computer Science (Vol. 5500, pp. 161-200). Springer. https://doi.org/10.1007/978-3-642-04581-3_3