Non-functional Aspects of Information Integration and Research for the Web Science

Abstract Web Science is emerging as an interdisciplinary field that views the Web as a relevant source of information to be analysed for diverse scientific purposes. Semantic and linked data techniques and standards have been used to integrate existing Web information developing e-research e_orts. Web applications and sources have to publish enriched information and data models, which are then matched and aligned. Some aspects of this integration are related with the evolutionary tracking, trustiness and plurality of the information available for e-science research. These aspects need to be modeled independently of the information and data sources of the research discipline. Here we provide an integrative ontology that enables to model such non-functional, informational aspects, to integrate information sources from enriched linked data applications. Finally we describe an application case of information research in the e-culture field.

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