1,782 research outputs found
Process Makna - A Semantic Wiki for Scientific Workflows
Virtual e-Science infrastructures supporting Web-based scientific workflows are an example for knowledge-intensive collaborative and weakly-structured processes where the interaction with the human scientists during process execution plays a central role. In this paper we propose the lightweight dynamic user-friendly interaction with humans during execution of scientific workflows via the low-barrier approach of Semantic Wikis as an intuitive interface for non-technical scientists. Our Process Makna Semantic Wiki system is a novel combination of a business process management system adapted for scientific workflows with a Corporate Semantic Web Wiki user interface supporting knowledge intensive human interaction tasks during scientific workflow execution
Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data
requirements and use cases
In this report, we introduce our initial vision of the Corporate Semantic Web
as the next step in the broad field of Semantic Web research. We identify
requirements of the corporate environment and gaps between current approaches
to tackle problems facing ontology engineering, semantic collaboration, and
semantic search. Each of these pillars will yield innovative methods and tools
during the project runtime until 2013. Corporate ontology engineering will
improve the facilitation of agile ontology engineering to lessen the costs of
ontology development and, especially, maintenance. Corporate semantic
collaboration focuses the human-centered aspects of knowledge management in
corporate contexts. Corporate semantic search is settled on the highest
application level of the three research areas and at that point it is a
representative for applications working on and with the appropriately
represented and delivered background knowledge. We propose an initial layout
for an integrative architecture of a Corporate Semantic Web provided by these
three core pillars
DRIVER Technology Watch Report
This report is part of the Discovery Workpackage (WP4) and is the third report out of four deliverables. The objective of this report is to give an overview of the latest technical developments in the world of digital repositories, digital libraries and beyond, in order to serve as theoretical and practical input for the technical DRIVER developments, especially those focused on enhanced publications. This report consists of two main parts, one part focuses on interoperability standards for enhanced publications, the other part consists of three subchapters, which give a landscape picture of current and surfacing technologies and communities crucial to DRIVER. These three subchapters contain the GRID, CRIS and LTP communities and technologies. Every chapter contains a theoretical explanation, followed by case studies and the outcomes and opportunities for DRIVER in this field
Social Computing and Cooperation Services for Connected Government and Cross-Boundary Services Delivery
Connected Government requires different government organizations to connect seamlessly across functions, agencies, and jurisdictions in order to deliver effective and efficient services to citizens and businesses. In the countries of the European Union, this also involves the possibility of delivering cross-border services, which is an important step toward a truly united Europe. To achieve this goal, European citizens and businesses should be able to interact with different public administrations in different Member States in a seamless way to perceive them as a single entity. Interoperability, which is a key factor for Connected Government, is not enough in order to achieve this result, since it usually does not consider
the social dimension of organizations. This dimension is at the basis of co-operability, which is a form of non-technical interoperability that allows different organizations to function together essentially as
a single organization. In this chapter, it is argued that, due to their unique capacity of coupling several technologies and processes with interpersonal styles, awareness, communication tools, and conversational
models, the integration of social computing services and tools within inter-organizational workflows can make them more efficient and effective. It can also support the \u201clearning\u201d process that leads different organizations to achieve co-operability
SmatBook – a vision for the future e-book
This paper presents a vision for the future of the e-books as part of
the growing collective intelligence. The vision entails further development of
technologies that will facilitate the creation and use of a new generation of
‘smart’ books: e-books that are evolving, highly interactive, customisable,
adaptable, intelligent, and furnished with a rich set of collaborative authoring
and reading support services. The proposed set of tools will be integrated into
an intelligent framework for collaborative book authoring and experiencing
called SmartBook. The paper also discusses the opportunities to use SmartBook
as a vehicle for building professional virtual communities of practice in the
framework of a University 2.0 organization dedicated to industry-university
cooperation
SmartBook: The New Generation e-Book Meets University 2.0
This paper presents a vision for the future of the e-books as part of the growing collective intelligence. The vision entails further development of technologies that will facilitate the creation and use of a new generation of ‘smart’ books: e-books that are evolving, highly interactive, customisable, adaptable, intelligent, and furnished with a rich set of collaborative authoring and reading support services. The proposed set of tools will be integrated into an intelligent framework for collaborative book authoring and experiencing called SmartBook. The paper also discusses the opportunities to use SmartBook as a vehicle for building professional virtual communities of practice in the framework of a University 2.0 organization dedicated to industry-university cooperation
PAV ontology: provenance, authoring and versioning
Provenance is a critical ingredient for establishing trust of published
scientific content. This is true whether we are considering a data set, a
computational workflow, a peer-reviewed publication or a simple scientific
claim with supportive evidence. Existing vocabularies such as DC Terms and the
W3C PROV-O are domain-independent and general-purpose and they allow and
encourage for extensions to cover more specific needs. We identify the specific
need for identifying or distinguishing between the various roles assumed by
agents manipulating digital artifacts, such as author, contributor and curator.
We present the Provenance, Authoring and Versioning ontology (PAV): a
lightweight ontology for capturing just enough descriptions essential for
tracking the provenance, authoring and versioning of web resources. We argue
that such descriptions are essential for digital scientific content. PAV
distinguishes between contributors, authors and curators of content and
creators of representations in addition to the provenance of originating
resources that have been accessed, transformed and consumed. We explore five
projects (and communities) that have adopted PAV illustrating their usage
through concrete examples. Moreover, we present mappings that show how PAV
extends the PROV-O ontology to support broader interoperability.
The authors strived to keep PAV lightweight and compact by including only
those terms that have demonstrated to be pragmatically useful in existing
applications, and by recommending terms from existing ontologies when
plausible.
We analyze and compare PAV with related approaches, namely Provenance
Vocabulary, DC Terms and BIBFRAME. We identify similarities and analyze their
differences with PAV, outlining strengths and weaknesses of our proposed model.
We specify SKOS mappings that align PAV with DC Terms.Comment: 22 pages (incl 5 tables and 19 figures). Submitted to Journal of
Biomedical Semantics 2013-04-26 (#1858276535979415). Revised article
submitted 2013-08-30. Second revised article submitted 2013-10-06. Accepted
2013-10-07. Author proofs sent 2013-10-09 and 2013-10-16. Published
2013-11-22. Final version 2013-12-06.
http://www.jbiomedsem.com/content/4/1/3
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