44,676 research outputs found
Process-oriented Enterprise Mashups
Mashups, a new Web 2.0 technology provide the ability for easy creation of Web-Based applications by end-users. The uses of the mashups are often consumer related. In this paper we explore how mashups can be used in the enterprise area and hat the criteria for enterprise mashups are. We provide categories for the classification of enterprise mashups, and based upon a motivating example we go further in depth on business process enterprise mashup
Programming patterns and development guidelines for Semantic Sensor Grids (SemSorGrid4Env)
The web of Linked Data holds great potential for the creation of semantic applications that can combine self-describing structured data from many sources including sensor networks. Such applications build upon the success of an earlier generation of 'rapidly developed' applications that utilised RESTful APIs. This deliverable details experience, best practice, and design patterns for developing high-level web-based APIs in support of semantic web applications and mashups for sensor grids. Its main contributions are a proposal for combining Linked Data with RESTful application development summarised through a set of design principles; and the application of these design principles to Semantic Sensor Grids through the development of a High-Level API for Observations. These are supported by implementations of the High-Level API for Observations in software, and example semantic mashups that utilise the API
Knowledge Organization Systems (KOS) in the Semantic Web: A Multi-Dimensional Review
Since the Simple Knowledge Organization System (SKOS) specification and its
SKOS eXtension for Labels (SKOS-XL) became formal W3C recommendations in 2009 a
significant number of conventional knowledge organization systems (KOS)
(including thesauri, classification schemes, name authorities, and lists of
codes and terms, produced before the arrival of the ontology-wave) have made
their journeys to join the Semantic Web mainstream. This paper uses "LOD KOS"
as an umbrella term to refer to all of the value vocabularies and lightweight
ontologies within the Semantic Web framework. The paper provides an overview of
what the LOD KOS movement has brought to various communities and users. These
are not limited to the colonies of the value vocabulary constructors and
providers, nor the catalogers and indexers who have a long history of applying
the vocabularies to their products. The LOD dataset producers and LOD service
providers, the information architects and interface designers, and researchers
in sciences and humanities, are also direct beneficiaries of LOD KOS. The paper
examines a set of the collected cases (experimental or in real applications)
and aims to find the usages of LOD KOS in order to share the practices and
ideas among communities and users. Through the viewpoints of a number of
different user groups, the functions of LOD KOS are examined from multiple
dimensions. This paper focuses on the LOD dataset producers, vocabulary
producers, and researchers (as end-users of KOS).Comment: 31 pages, 12 figures, accepted paper in International Journal on
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OntoSIDES: Ontology-based student progress monitoring on the national evaluation system of French Medical Schools
International audienceWe introduce OntoSIDES, the core of an ontology-based learning management system in Medicine, in which theeducational content, the traces of studentsâ activities and the correction of exams are linked and related to itemsof an official reference program in a unified RDF data model. OntoSIDES is an RDF knowledge base comprised ofa lightweight domain ontology that serves as a pivot high-level vocabulary of the query interface with users, andof a dataset made of factual statements relating individual entities to classes and properties of the ontology.Thanks to an automatic mapping-based data materialization and rule-based data saturation, OntoSIDES containsaround 8 millions triples to date, and provides an integrated access to useful information for student progressmonitoring, using a powerful query language (namely SPARQL) allowing users to express their specific needs ofdata exploration and analysis. Since we do not expect end-users to master the raw syntax of SPARQL and toexpress directly complex queries in SPARQL, we have designed a set of parametrized queries that users caninstantiate through a user-friendly interface
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