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Service Oriented Architectures and web service technology are becoming popular in recent years. As more web services can be used over the Internet, the need to find efficient algorithms for web services composition that can deal with large amounts of services becomes important. These algorithms must deal with different issues like performance, semantics or(More)
Web Services are interfaces that describe a collection of operations that are network-accessible through standardized web protocols. When a required operation is not found, several services can be compounded to get a composite service that performs the desired task. To find this composite service a search process in a, generally, huge search space must be(More)
Specifying semantic Web services requires designing the semantic description at a conceptual level to guarantee its correctness and avoid inconsistencies. We present a framework for designing and composing semantic Web services at the knowledge level in a language-independent manner. We base our framework on a stack of ontologies that explicitly describes(More)
Web Services (WS) are software modules that perform operations that are network-accessible through XML messaging. Web Services in the Semantic Web, that is, Semantic Web Services (SWS), should describe semantically their structure and capabilities to enable its automatic discovery, invocation and composition. In this work we present a development(More)
This paper describes how the Astronomy case study is modelled and implemented using a IMS-LD ontology. 1. Modelling of the learning scenario The learning scenario was modelled by considering a single Play with the following run-script of Acts and Activities: Act I: Cooperative part o Activity Structure I.1: Solving planet names and planet order. Learning(More)
In this paper, we present an ontology to represent the semantics of the IMS Learning Design (IMS LD) specification, a metadata standard used to describe the main elements of the learning design process. The motivation of this work relies on the expressiveness limitations found on the current XML-Schema implementation of the IMS LD conceptual model. To solve(More)
Process discovery techniques automatically extract the real workflow of a process by analyzing the events that are collected and stored in log files. Although in the last years several process discovery algorithms have been presented, none of them guarantees to find complete, precise and simple models for all the given logs. In this paper we address the(More)
Semantic Web Services (SWS) are Web Services (WS) whose description is semantically enhanced with markup languages (e.g., OWL-S). This semantic description will enable external agents and programs to discover, compose and invoke SWSs. However, as a previous step to the specification of SWSs in a language, it must be designed at a conceptual level to(More)
In this paper we present a theoretical analysis of graph-based service composition in terms of its dependency with service discovery. Driven by this analysis we define a composition framework by means of integration with fine-grained I/O service discovery that enables the generation of a graph-based composition which contains the set of services that are(More)
In this paper, we present EUME Onto, an educational ontology that describe terms of learning design, contents and resources. This ontology is intended to (1) organize the available information; and (2) provide the grounds of the knowledge based for an Intelligent Learning Management System. EUME Onto is based on metadata standards such as IMSEML, LOM 1484,(More)