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UT Linked Data Informal Learning Discussion Series Bibliography
The following bibliographies were created as part of the UT Linked Data Informal Learning Discussion Series hosted at UT LibrariesThe following bibliographies were created as part of the UT Linked Data Informal Learning Discussion Series hosted at UT LibrariesUT Librarie
CURIOS: Connecting Community Heritage through Linked Data
Peer reviewedPostprin
Semantically annotated hypermedia services
Hypermedia systemsâ researchers investigate the various approaches in the way documents and resources are linked, navigated and stored in a distributed environment. Unfortunately, those systems fail to provide effortlessly usable discrete services, since it is difficult both to discover and to invoke any of them. This paper proposes the usage of emerging technologies that try to augment the Web resources with semantics in order to provide Hypermedia services that can be easily discovered, and integrated by potential third party developers. In this context, we analyze the benefits for the Hypermedia community upon the adoption of Semantic Web technologies for the description of Hypermedia services, and we implement an initial corresponding ontology
Digital Repositories and the Semantic Web: Semantic Search and Navigation for DSpace
4th International Conference on Open RepositoriesThis presentation was part of the session : DSpace User Group PresentationsDate: 2009-05-21 08:30 AM â 10:00 AMIn many digital repository implementations, resources are often described against some flavor of metadata schema, popularly the Dublin Core Element Set (DCMES), as is the case with the DSpace system. However, such an approach cannot capture richer semantic relations that exist or may be implied, in the sense of a Semantic Web ontology. Therefore we first suggest a method in order to semantically intensify the underlying data model and develop an automatic translation of the flatly organized metadata information to this new ontology. Then we propose an implementation that provides for inference-based knowledge discovery, retrieval and navigation on top of digital repositories, based on this ontology. We apply this technique to real information stored in the University of Patras Institutional Repository that is based on DSpace, and confirm that more powerful, inference-based queries can indeed be performed
Applying Semantic Web Technologies to Medieval Manuscript Research
Medieval manuscript research is a complex, fragmented, multilingual field of
knowledge, which is difficult to navigate, analyse and exploit. Though printed sources
are still of great importance and value to researchers, there are now many services
on the Web, some commercial and many in the public domain. At present, these
services have to be consulted separately and individually. They employ a range of
different descriptive standards and vocabularies, and use a variety of technologies to
make their information available on the Web. This chapter proposes a new approach to
organizing the international collaborative infrastructure for interlinking knowledge and
research about medieval European manuscripts, based on technologies associated with
the Semantic Web and the Linked Data movement. This collaborative infrastructure
will be an open space on the Web where information about medieval manuscripts can
be shared, stored, exchanged and updated for research purposes. It will be possible to
ask large-scale research questions across the virtual global manuscript collection, in a
quicker and more effective way than has ever been feasible in the past. The proposed
infrastructure will focus on building links between data and will provide the basis
for new kinds of services which exploit these data. It will not aim to impose a single
metadata standard on existing manuscript services, but will build on existing databases
and vocabularies. The article describes the architecture, services and data which will
comprise this infrastructure, and discusses strategies for making th challenging and
exciting goal a reality
Model Theory and Entailment Rules for RDF Containers, Collections and Reification
An RDF graph is, at its core, just a set of statements consisting of subjects, predicates and objects. Nevertheless, since its inception
practitioners have asked for richer data structures such as containers (for
open lists, sets and bags), collections (for closed lists) and reification (for
quoting and provenance). Though this desire has been addressed in the
RDF primer and RDF Schema specification, they are explicitely ignored
in its model theory. In this paper we formalize the intuitive semantics
(as suggested by the RDF primer, the RDF Schema and RDF semantics specifications) of these compound data structures by two orthogonal
extensions of the RDFS model theory (RDFCC for RDF containers and
collections, and RDFR for RDF reification). Second, we give a set of
entailment rules that is sound and complete for the RDFCC and RDFR
model theories. We show that complexity of RDFCC and RDFR entailment remains the same as that of simple RDF entailment
Coping with lists in the ifcOWL ontology
Over the past few years, several suggestions have been made of how to convert an EXPRESS schema into an OWL ontology. The conversion from EXPRESS to OWL is of particular use to architectural design and construction industry, because one of the key data models in architectural design and construction industry, namely the Industry Foundation Classes (IFC) is represented using the EXPRESS information modelling language. In each of these conversion options, the way in which lists are converted (e.g. lists of coordinates, lists of spaces in a floor) is key to the structure and eventual strength of the resulting ontology. In this article, we outline and discuss the main decisions that can be made in converting LIST concepts in EXPRESS to equivalent OWL expressions. This allows one to identify which conversion option is appropriate to support proper and efficient information reuse in the domain of architecture and construction
The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective
The World Wide Web no longer consists just of HTML pages. Our work sheds
light on a number of trends on the Internet that go beyond simple Web pages.
The hidden Web provides a wealth of data in semi-structured form, accessible
through Web forms and Web services. These services, as well as numerous other
applications on the Web, commonly use XML, the eXtensible Markup Language. XML
has become the lingua franca of the Internet that allows customized markups to
be defined for specific domains. On top of XML, the Semantic Web grows as a
common structured data source. In this work, we first explain each of these
developments in detail. Using real-world examples from scientific domains of
great interest today, we then demonstrate how these new developments can assist
the managing, harvesting, and organization of data on the Web. On the way, we
also illustrate the current research avenues in these domains. We believe that
this effort would help bridge multiple database tracks, thereby attracting
researchers with a view to extend database technology.Comment: EDBT - Tutorial (2011
Lost in translation: data integration tools meet the Semantic Web (experiences from the Ondex project)
More information is now being published in machine processable form on the
web and, as de-facto distributed knowledge bases are materializing, partly
encouraged by the vision of the Semantic Web, the focus is shifting from the
publication of this information to its consumption. Platforms for data
integration, visualization and analysis that are based on a graph
representation of information appear first candidates to be consumers of
web-based information that is readily expressible as graphs. The question is
whether the adoption of these platforms to information available on the
Semantic Web requires some adaptation of their data structures and semantics.
Ondex is a network-based data integration, analysis and visualization platform
which has been developed in a Life Sciences context. A number of features,
including semantic annotation via ontologies and an attention to provenance and
evidence, make this an ideal candidate to consume Semantic Web information, as
well as a prototype for the application of network analysis tools in this
context. By analyzing the Ondex data structure and its usage, we have found a
set of discrepancies and errors arising from the semantic mismatch between a
procedural approach to network analysis and the implications of a web-based
representation of information. We report in the paper on the simple methodology
that we have adopted to conduct such analysis, and on issues that we have found
which may be relevant for a range of similar platformsComment: Presented at DEIT, Data Engineering and Internet Technology, 2011
IEEE: CFP1113L-CD
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