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APIs are increasingly important for companies to enable partners and consumers to access their services and resources. API ecosystems deal with related challenges like publication, promotion and provision of APIs by providers and identification, selection and consumption of APIs by consumers. To address these challenges, to match consumers with relevant APIs, and to support API providers and thus...
Service composition can be considered as a Linked Data model due to the way that each one of the services that make up the composition is structured. For doing this, a service composer is required in order to evaluate the input and output data of various web-distributed services for linking them. These links can be analyzed from a quality perspective in which a service may fail when it does not fulfill...
Sensor networks are often deployed with the purpose of providing data to large-scale information management and GIS systems, or to collect measurements for specific scientific experiments. The benefits of such use are clear and widely accepted. The reuse of observations in low-cost, lightweight, web applications and mashups is a further compelling use case for sensor networks, but requires provision...
Non-trivial trails in choosing the right data mining algorithm and tuning its arguments for a data set is one of most trivial tasks for data mining users. Sharing and mining users' experiences in using data mining tools can give valuable clues for a new user. This paper presents a description framework for the data provenance in a data mining grid platform and design two kinds of methods for representing...
We propose an RDF-based user interface language called RaUL and a RESTful service called ActiveRaUL that interprets the language and produces XHTML+RDFa in return. The RaUL markup language separates the purpose (data publishing) of a Semantic Web form from its presentation. ActiveRaUL operates and generates RaUL markup, that separates the control elements on a Web form from the data that the form...
Data as a Service (DaaS) builds on service-oriented technologies to enable fast access to data resources on the Web. However, this paradigm raises several new concerns that traditional privacy models for Web services do not handle. First, the distinction between the roles of service providers and data providers is unclear, leaving the latter helpless for specifying and verifying the enforcement of...
The Naval Research Lab Geospatial Hub, or GHub, provides a rapidly deployable, scalable platform for geospatial product collaboration. The GHub is not only a content management system with a web-based interface, but also hosts a variety of content-driven geo-services for tightly integrated, but loosely coupled tool interaction. The GHub presents a rich SOAP API to allow third party tools to build...
Web Services Description Language (WSDL) allows a structured way to standardize the description of Web Services, exploiting XML for the exchange of structured information. Nevertheless XML supports little interoperability between services, expected when WSDL documents have to be combined. In this context, the Semantic Web has become a promising research field. Semantic Models (e.g. RDF or OWL) allow...
The growth of the Internet has dramatically changed the way information is accessed and managed. The Web contains an ever growing amount of distributed, semi-structured and uncontrolled data. In this new context, we should rethink how applications couple with DBMSs. Corporate intranets allowed a tiered coupling between applications and databases. However, that model is still too constrained, and unable...
One of the main open issues in the development of applications for sensor network management is the definition of interoperability mechanisms among the several monitoring systems and heterogeneous data. Interesting researches related to integration techniques have taken place, they are primary based on the adoption of sharing data-mechanisms; furthermore in the last years, the Service-Oriented Architecture...
Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and Web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on...
By analyzing the characteristics of data sharing between Web applications and the limitations in existing data sharing methods, a new solution for data sharing between Web applications is presented. This data sharing solution transfer data between Web applications directly and provides a much better data sharing experience for the users. We explained this new solution in details from three key aspects...
The Semantic Web is a project and vision of the World Wide Web Consortium to extend the current Web, so that information is given well-defined meaning and structure, enhancing computers and people to work in cooperation. Semantic technologies are being added to enterprise solutions to accommodate new techniques for discovering relationships across different database, business applications and Web...
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