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Workflows are becoming an increasingly more common paradigm to manage and control scientific applications. They are an effective technology to define composition of different pieces of knowledge, both in the application domain and in the scientific context. However, workflows are addressed in a number of different perspectives and little consensus has been reached yet on the specification, languages,...
We are developing an approach to organizing bookmarks and other information resources by annotating them with metadata in the form of synsets taken from WordNet. This paper shows how a collection of annotated bookmarks can be semantically enriched by adding hyper-/hyponym relations from WordNet. It then illustrates how the semantically enriched bookmark collection can be browsed and visualized using...
The engineering of complex production automation systems involves experts from several backgrounds, such as mechanical, electrical, and software engineering. The production automation expert knowledge is embedded in their tools and data models, which are, unfortunately, insufficiently integrated across the expert disciplines, due to semantically heterogeneous data structures and terminologies. Traditional...
Open source software teams routinely develop complex software products in frequent-release settings with rather lightweight processes and project documentation. In this con-text project a major challenge for data collection is how to extract the relevant project management knowledge effectively and efficiently from a wide range of software project data sources, such as artifact versions, bug reports,...
Context-aware ubiquitous computing applications thrive in extremely dynamic and heterogeneous environments. When they are delivered to the user preconfigured and without the capability to be adapted, they may fail to satisfy the user's changing needs and may give the user the feeling that control is taken away from him. In this paper we present how context can be exploited in ubiquitous computing...
E-government processes are dedicated to the improvement of the efficiency, inexpensiveness and accessibility of public administration services: dematerialization activities, introduced to manage bureaucratic digital documents in a proper way, are among the main tasks of the e-government works. In this paper we present a novel RDF model of digital documents for improving the dematerialization effectiveness,...
Emerging computing architectures exploit parallel execution units for performances improvements in programs executions. Recent advances in microprocessors and multicomputers stressed the need of methodologies able to take advantage of parallelism. Source code analysis techniques exist which are used to identify chunks of code for parallelization purposes, but they are not designed to identify complex...
With the growth of web service, traditional web service discovery mechanisms have become inefficient because of their low precision. Though the current semantic-based service discovery methods enhance the recall rate and precision in a way, most of the semantic-based service discovery methods are based on the new model of the semantic web and the ontology language, the number of the services based...
In a pervasive environment, it is essential for computing applications to be context-aware. However, one of the major challenges is the establishment of a generic and dynamic context model. Many different approaches to modeling the context exist, but an application- and domain-agnostic context model, that captures various types of context information and the dependencies between them, that could be...
Context has been applied to a broad range of domains and systems ranging from location-based tourist applications to motion capture. An area relatively under-represented in the literature is health-monitoring systems. This paper considers the application of context in health monitoring and the role of translational research, a concept that relates to the translation of basic research into clinical...
This paper deals with some conceptual and practical problems that become apparent when trying to make use of up-to-date ontological and semantic techniques within a concrete industrial context. More precisely, it describes the compromises adopted in the European SEMbySEM project in order to deal with specific industrial problems - like checking rail transport of hazardous materials - by preserving...
The considerable improvement in the biotechnogical field and the adoption of screen techniques such as high throughput arrays produced a spread of biological and genetical data and scientific papers, mostly diffused on the Web. Even if the huge amount of available information represents a major step forward for the biomedical research field, the main effort for a scientist is to evaluate the correlation...
Discovery biological organisation of the cell in modules network is a challenging task. Currently, approaches based on a controlled vocabulary, as Gene Ontology, to identify the function similarity among a pair of genes have developed. We present RGO: a rewriting of the GO aiming at obtaining a more compact and informative ontology, leading to closer biological regulated GO terms. The RGO will help...
Ontology engineering has been fully or partially practiced by knowledge engineers or knowledge workers, towards delivering either fully fledged conceptualizations of domains or providing lightweight ontology versions for less demanding but more frequent knowledge tasks. Domain-specific information can be shaped into ontologies either manually or (semi-)automatically using ontology learning techniques...
The paper builds on a previous finding of the same authors that concept similarity can be measured on the basis of small sets of characteristic features, selected separately and independently for every concept of two source ontologies. Extending a previously defined parameter-dependent similarity measure, the paper suggests the application of parameter-free correlation coefficients as concept similarity...
Ontology alignment is a time consuming process, especially when the two ontologies to be aligned are large. A fast and accurate ontology similarity can help the user to avoid aligning ontologies without significant similarities. In this paper, we propose an Asymmetric Similarity Measure for Ontologies (ASMO) that measures how similar the source ontology is to the target ontology. Many efficient ontology...
Semantic web services have recently appeared as an enabling technology for the challenging task of automated service discovery and composition. In addition, the growing number of web services demands for distributed discovery mechanisms which do not suffer of the scalability problems of the centralized ones. A framework based on the P2P paradigm to enhance the service discovery process has been designed:...
RDF and OWL are used as the data model and schema, respectively, to build the distributed knowledge base of the Semantic Web. The components in RDF models, subjects, predicates, and objects, are identified universally on the web, which makes it suitable for distributed operations. In this paper, we employ the distributed hash table (DHT) technology on peer-to-peer network to develop distributed RDF...
Event as the unit of human knowledge, has attracted more and more attention and high regards from the academia. Events-based knowledge extraction and representation extend concept-based knowledge process techniques largely. In order to represent event-based knowledge, this paper extends existing web ontology language, OWL, by introducing some new constructors and axioms related to event features....
In this work, we present a proposal for characterizing the OWL ontologies available on the Web from a significant sample. We have conducted a study to review the specific characteristics of these ontologies paying attention to features which can be important from the point of view of the ontology alignment: language, sizes, number, and kind of entities that are represented in them. As a result, we...
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