72,080 research outputs found
A Framework for Semi-automated Web Service Composition in Semantic Web
Number of web services available on Internet and its usage are increasing
very fast. In many cases, one service is not enough to complete the business
requirement; composition of web services is carried out. Autonomous composition
of web services to achieve new functionality is generating considerable
attention in semantic web domain. Development time and effort for new
applications can be reduced with service composition. Various approaches to
carry out automated composition of web services are discussed in literature.
Web service composition using ontologies is one of the effective approaches. In
this paper we demonstrate how the ontology based composition can be made faster
for each customer. We propose a framework to provide precomposed web services
to fulfil user requirements. We detail how ontology merging can be used for
composition which expedites the whole process. We discuss how framework
provides customer specific ontology merging and repository. We also elaborate
on how merging of ontologies is carried out.Comment: 6 pages, 9 figures; CUBE 2013 International Conferenc
Ontology mapping: the state of the art
Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mapping has beeb the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping
Enhancing Sensitivity Classification with Semantic Features using Word Embeddings
Government documents must be reviewed to identify any sensitive information
they may contain, before they can be released to the public. However,
traditional paper-based sensitivity review processes are not practical for reviewing
born-digital documents. Therefore, there is a timely need for automatic sensitivity
classification techniques, to assist the digital sensitivity review process.
However, sensitivity is typically a product of the relations between combinations
of terms, such as who said what about whom, therefore, automatic sensitivity
classification is a difficult task. Vector representations of terms, such as word
embeddings, have been shown to be effective at encoding latent term features
that preserve semantic relations between terms, which can also be beneficial to
sensitivity classification. In this work, we present a thorough evaluation of the
effectiveness of semantic word embedding features, along with term and grammatical
features, for sensitivity classification. On a test collection of government
documents containing real sensitivities, we show that extending text classification
with semantic features and additional term n-grams results in significant improvements
in classification effectiveness, correctly classifying 9.99% more sensitive
documents compared to the text classification baseline
Ontology mapping by concept similarity
This paper presents an approach to the problem of mapping ontologies. The motivation for the research stems from the Diogene Project which is developing a web training environment for ICT professionals. The system includes high quality training material from registered content providers, and free web material will also be made available through the project's "Web Discovery" component. This involves using web search engines to locate relevant material, and mapping the ontology at the core of the Diogene system to other ontologies that exist on the Semantic Web. The project's approach to ontology mapping is presented, and an evaluation of this method is described
A survey of comics research in computer science
Graphical novels such as comics and mangas are well known all over the world.
The digital transition started to change the way people are reading comics,
more and more on smartphones and tablets and less and less on paper. In the
recent years, a wide variety of research about comics has been proposed and
might change the way comics are created, distributed and read in future years.
Early work focuses on low level document image analysis: indeed comic books are
complex, they contains text, drawings, balloon, panels, onomatopoeia, etc.
Different fields of computer science covered research about user interaction
and content generation such as multimedia, artificial intelligence,
human-computer interaction, etc. with different sets of values. We propose in
this paper to review the previous research about comics in computer science, to
state what have been done and to give some insights about the main outlooks
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