Topic
Semantic Web
About: Semantic Web is a research topic. Over the lifetime, 26987 publications have been published within this topic receiving 534275 citations. The topic is also known as: Sem Web & SemWeb.
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TL;DR: Semantic MediaWiki as discussed by the authors is an extension that enables wiki-users to semantically annotate wiki pages, based on which the wiki contents can be browsed, searched, and reused in novel ways.
338 citations
TL;DR: A scenario that shows the value of the information environment the Semantic Web can support for aiding neuroscience researchers is presented and several projects by members of the HCLSIG are reported, illustrating the range ofSemantic Web technologies that have applications in areas of biomedicine.
Abstract: A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to strengthen Translational Research, defined as the movement of discoveries in basic research to application at the clinical level. A significant barrier to translational research is the lack of uniformly structured data across related biomedical domains. The Semantic Web is an extension of the current Web that enables navigation and meaningful use of digital resources by automatic processes. It is based on common formats that support aggregation and integration of data drawn from diverse sources. A variety of technologies have been built on this foundation that, together, support identifying, representing, and reasoning across a wide range of biomedical data. The Semantic Web Health Care and Life Sciences Interest Group (HCLSIG), set up within the framework of the World Wide Web Consortium, was launched to explore the application of these technologies in a variety of areas. Subgroups focus on making biomedical data available in RDF, working with biomedical ontologies, prototyping clinical decision support systems, working on drug safety and efficacy communication, and supporting disease researchers navigating and annotating the large amount of potentially relevant literature.
337 citations
TL;DR: The vision and architecture of a Semantic Web of Things is described: a service infrastructure that makes the deployment and use of semantic applications involving Internet-connected sensors almost as easy as building, searching, and reading a web page today.
Abstract: The developed world is awash with sensors. However, they are typically locked into unimodal closed systems. To unleash their full potential, access to sensors should be opened such that their data and services can be integrated with data and services available in other information systems, facilitating novel applications and services that are based on the state of the real world. We describe our vision and architecture of a Semantic Web of Things: a service infrastructure that makes the deployment and use of semantic applications involving Internet-connected sensors almost as easy as building, searching, and reading a web page today.
337 citations
TL;DR: Sindice, a lookup index over Semantic Web resources, allows applications to automatically locate documents containing information about a given resource, and extends the sitemap protocol to efficiently index large datasets with minimal impact on data providers.
Abstract: Data discovery on the Semantic Web requires crawling and indexing of statements, in addition to the 'linked-data' approach of de-referencing resource URIs Existing Semantic Web search engines are focused on database-like functionality, compromising on index size, query performance and live updates We present Sindice, a lookup index over Semantic Web resources Our index allows applications to automatically locate documents containing information about a given resource In addition, we allow resource retrieval through inverse-functional properties, offer a full-text search and index SPARQL endpoints Finally, we extend the sitemap protocol to efficiently index large datasets with minimal impact on data providers
336 citations
01 Jun 1997-International Journal of Human-computer Studies \/ International Journal of Man-machine Studies
TL;DR: The current version of the Basic Support for Cooperative Work system is described in detail, including design choices resulting from use of the web as a cooperation platform and feedback from users following the release of a previous version of BSCW to the public domain.
Abstract: The emergence and widespread adoption of the World Wide Web offers a great deal of potential in supporting cross-platform cooperative work within widely dispersed working groups. The Basic Support for Cooperative Work (BSCW) project at GMD is attempting to realize this potential through development of web-based tools which provide cross-platform collaboration services to groups using existing web technologies. This paper describes one of these tools, theBSCW Shared Workspace system?a centralized cooperative application integrated with an unmodified web server and accessible from standard web browsers. The BSCW system supports cooperation through “shared workspaces”; small repositories in which users can upload documents, hold threaded discussions and obtain information on the previous activities of other users to coordinate their own work. The current version of the system is described in detail, including design choices resulting from use of the web as a cooperation platform and feedback from users following the release of a previous version of BSCW to the public domain.
334 citations