11 research outputs found
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Hyperdata: update APIs for RDF data sources (Vision Paper)
The Linked Data effort has been focusing on how to publish open data sets on the Web, and it has had great results. However, mechanisms for updating linked data sources have been neglected in research. We propose a structure for Linked Data resources into named graphs, connected through hyperlinks and self described with light metadata, that is a natural match for using standard HTTP methods to implement application-specific (high-level) public update APIs
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ParkJam: crowdsourcing parking availability information with linked data (Demo)
This demo shows a mobile Android app that uses openly available geographic data and crowdsources parking availability information, in order to let its users conveniently find parking when coming to work or driving into town. The application builds on Linked Data, and publishes the crowdsourced parking availability data openly as well. Further, it integrates additional related data sources, such as events and services, to provide rich value-adding features that will act as an incentive for users to adopt the app
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Building the WSMO-Lite test collection on the SEALS Platform
We present a test collection for WSMO-Lite that is suitable for evaluating systems, tools or algorithms for Semantic Web Service discovery or matchmaking. We describe the design of the test collection and how the collection has been implemented on the SEALS platform. In addition, we discuss lessons learned with respect to the WSMO-Lite ontology and our implementation of the test collection
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Unified Lightweight Semantic Descriptions of Web APIs and Web Services
Recently, Linked Data and Web APIs have emerged as the preferred means of exposing data and Web application functionality. In this paper we argue that service systems should be adapted in the light of both trends. In particular we believe that i) common means for discovering and interacting with Web services and Web APIs are necessary, and that ii) we should bridge the gap between services and linked data both by supporting the publication of services as linked data and by enabling the processing of linked data by services. We show a set of technologies we have devised towards this goal
WSMO-Lite and hRESTS: lightweight semantic annotations for Web services and RESTful APIs
Service-oriented computing has brought special attention to service description, especially in connection with semantic technologies. The expected proliferation of publicly accessible services can benefit greatly from tool support and automation, both of which are the focus of Semantic Web Service (SWS) frameworks that especially address service discovery, composition and execution. As the first SWS standard, in 2007 the World Wide Web Consortium produced a lightweight bottom-up specification called SAWSDL for adding semantic annotations to WSDL service descriptions. Building on SAWSDL, this article presents WSMO-Lite, a lightweight ontology of Web service semantics that distinguishes four semantic aspects of services: function, behavior, information model, and nonfunctional properties, which together form a basis for semantic automation. With the WSMO-Lite ontology, SAWSDL descriptions enable semantic automation beyond simple input/output matchmaking that is supported by SAWSDL itself. Further, to broaden the reach of WSMO-Lite and SAWSDL tools to the increasingly common RESTful services, the article adds hRESTS and MicroWSMO, two HTML microformats that mirror WSDL and SAWSDL in the documentation of RESTful services, enabling combining RESTful services with WSDL-based ones in a single semantic framework. To demonstrate the feasibility and versatility of this approach, the article presents common algorithms for Web service discovery and composition adapted to WSMO-Lite
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RESTful services with lightweight machine-readable descriptions and semantic annotations
REST was originally developed as the architectural foundation for the human-oriented Web, but it has turned out to be a useful architectural style for machine-to-machine distributed systems as well. The most prominent wave of machine-oriented RESTful systems are Web APIs (also known as RESTful services), provided by Web sites such as Facebook, Flickr, and Amazon to facilitate access to the services from programmatic clients, including other Web sites. Currently, Web APIs do not commonly provide machine-processable service descriptions which would help tool support and even some degree of automation on the client side. This chapter presents current research on lightweight service description for Web APIs, building on the HTML documentation that accompanies the APIs. descriptions. HTML documentation can be annotated with a microformat that captures a minimal machine-oriented service model, or with RDFa using the RDF representation of the same service model. Machine-oriented descriptions (now embedded in the HTML documentation of Web APIs) can also capture the semantics of Web APIs and thus support further automation for clients. The chapter includes a discussion of various types and degrees of tool support and automation possible using the lightweight service descriptions
Developing reliable reaction gamma-ray data
We report on efforts to develop reliable photonuclear cross section and photon strength function data by measuring, compiling, assessing, evaluating the available data, and producing tables of Giant Dipole Resonance parameters and global models for use in basic sciences and applications