Abstract. Traditionally, research in applying Semantic Web technology to multimedia information systems has focused on using annotations and ontologies to improve the retrieval process. This paper concentrates on improving the presentation of the retrieval results. First, our approach uses ontological domain knowledge to select and organize the content relevant to the topic the user is interested in. Domain ontologies are valuable in the presentation generation process, because effective presentations are those that succeed in conveying the relevant domain semantics to the user. Explicit discourse and narrative knowledge allows selection of appropriate presentation genres and creation of narrative structures, which are used for conveying these domain relations. In addition, knowledge of graphic design and media characteristics is essential to transform abstract presentation structures into real multimedia presentations. Design knowledge determines how the semantics and presentation structure are expressed in the multimedia presentation. In traditional Web environments, this type of design knowledge remains implicit, hidden in style sheets and other document transformation code. Our second use of Semantic Web technology is to model design knowledge explicitly, and to enable it to drive the transformations needed to turn annotated media items into structured presentations.
Abstract. This paper presents a novel web-based platform that supports the analysis, integration, and visualization of large-scale and heterogeneous urban data, with application to city planning and decision-making. Motivated by the non-scalable character of conventional urban analytics methods, as well as by the interoperability challenges present in contemporary data silos, the illustrated system -coined SocialGlass -leverages the combined potential of diverse urban data sources. These include sensor and social media streams (Twitter, Instagram, Foursquare), publicly available municipal records, and resources from knowledge repositories. Through data science, semantic integration, and crowdsourcing techniques the platform enables the mapping of demographic information, human movement patterns, place popularity, traffic conditions, as well as citizens' and visitors' opinions and preferences about specific venues in a city. The paper further demonstrates an implemented prototype of the platform and its deployment in real-world use cases for monitoring, analyzing, and assessing city-scale events.
Cloud Platform as a Service (PaaS) is a rapidly growing IT paradigm which enables software developers to deploy applications without the burden of software platform maintenance. Currently, the PaaS market is dominated by a few providers that promote incompatible standards. This introduces adoption barriers that prevent the interoperability between heterogeneous PaaS offerings, so software developers are not able to manage distributed applications spanning multiple public/private clouds. In this paper we present a multi-PaaS application management solution as a result of the Cloud4SOA European project that addresses these challenges. To clarify this approach a distributed deployment and cloud bursting scenarios are used.
Cloud Platform as a Service (PaaS) is a novel paradigm that enables software developers to create (develop or integrate), deploy, execute, and manage business applications, using a service provided by a third party. The diversity and heterogeneity of the existing PaaS offerings raises several interoperability challenges. The actual Platform as a Service market is still quite young, chaotic and highly fragmented, dominated by a few providers which use and promote incompatible standards and formats. This introduces adoption barriers due to the lock-in issues that prevent the portability of data and software from one PaaS to another. Moreover, software developers do not only need to deploy applications into a specific Cloud platform, but also to migrate applications from one Cloud platform to another, and to manage distributed applications spanning multiple PaaS. In this paper, we present a multi-cloud PaaS management as a result of the Cloud4SOA European project that addresses these challenges.
C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a INformation SystemsUsing rhetorical annotations for generating video documentaries S. Bocconi, F.-M. Nack, H.L. Hardman Using rhetorical annotations for generating video documentaries ABSTRACT We use rhetorical annotations to specify a generation process that can assemble meaningful video sequences with a communicative goal and an argumentative progression. Our annotation schema encodes the verbal information contained in the audio channel, identifying the claims the interviewees make and the argumentation structures they use to make those claims. Based on this schema, we construct a semantic graph which is traversed by rhetoric-based strategies selecting video segments. The selected video segments are edited to form a meaningful video sequence. REPORT INS-E0501 JANUARY 2005 INS1998 ACM Computing Classification System: H.5.4; I.7.2 Keywords and Phrases: Media semantics; media rhetorics; automated video editing; multimedia presentation generation; video documentaries Note: This work was carried out under the ToKeN2000-I2RP and ToKeN2000-CHIME projects. USING RHETORICAL ANNOTATIONS FOR GENERATING VIDEO DOCUMENTARIES ABSTRACTWe use rhetorical annotations to specify a generation process that can assemble meaningful video sequences with a communicative goal and an argumentative progression. Our annotation schema encodes the verbal information contained in the audio channel, identifying the claims the interviewees make and the argumentation structures they use to make those claims. Based on this schema, we construct a semantic graph which is traversed by rhetoric-based strategies selecting video segments. The selected video segments are edited to form a meaningful video sequence.
C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a INformation SystemsSupporting the generation of argument structure within video sequences S. Bocconi, F.-M. Nack, L. Hardman Supporting the generation of argument structure within video sequences ABSTRACT Browsing is a useful way of exploring annotated media repositories. Sets of links can be automatically created from the annotations associated with the media items in the repository. When there are also relationships among the annotations themselves, such as when the annotation terms are part of a thesaurus, these relations can also be used in the link generation process. Using structured annotations and a thesaurus for generating link sets has two advantages. The first is to evaluate the effectiveness of the terms in the thesaurus for classifying the media items in the repository. The second is to be able to control the links being generated by changing relationships within the thesaurus. The work is illustrated using video segments annotated with argument structures, but we show that the method used is independent of the media types and applicable to systems that use similar annotation structures and typed relations among them. REPORT INS-E0504 MARCH 2005 INS ABSTRACTBrowsing is a useful way of exploring annotated media repositories. Sets of links can be automatically created from the annotations associated with the media items in the repository. When there are also relationships among the annotations themselves, such as when the annotation terms are part of a thesaurus, these relations can also be used in the link generation process. Using structured annotations and a thesaurus for generating link sets has two advantages. The first is to evaluate the effectiveness of the terms in the thesaurus for classifying the media items in the repository. The second is to be able to control the links being generated by changing relationships within the thesaurus.The work is illustrated using video segments annotated with argument structures, but we show that the method used is independent of the media types and applicable to systems that use similar annotation structures and typed relations among them.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.