Lyndon Nixon
MODUL University Vienna, Department of New Media Technology, Faculty Member
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This paper reports on the LinkedTV EU project . LinkedTV is building technological solutions for a new type of television (or audio-visual) experience where Web and TV content can be seamlessly interlinked based on the concepts present... more
This paper reports on the LinkedTV EU project . LinkedTV is building technological solutions for a new type of television (or audio-visual) experience where Web and TV content can be seamlessly interlinked based on the concepts present within that content. The project addresses how the Web and TV is converging in end devices, and particularly this paper focuses on its R&D activities and goals, the project demonstrator and how LinkedTV can benefit itself and others through project networking. We highlight four of our key R&D activities: Media Analysis: The media analysis activity of LinkedTV has been detailed in deliverable D1.1 , and addresses the topics of: Visual information pre-processing and representation, Visual object and scene labelling, complementary text and audio analysis, event and instance-based labelling of visual information, and user assisted annotation. The focus is on determining the appropriate fragmentation of audiovisual material (shot and scene detection) and s...
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In this report we propose a methodology for cost estimation for ontologies and analyze cost factors implied in the engineering process. We examine the appropriateness of a COCOMO-like parametric approach to ontology cost estimation and... more
In this report we propose a methodology for cost estimation for ontologies and analyze cost factors implied in the engineering process. We examine the appropriateness of a COCOMO-like parametric approach to ontology cost estimation and propose a non-calibrated ontology cost model, which is to be continuously refined along with the collection of empiric data on person month efforts invested in developing ontologies in real-world projects. We further describe the human-driven evaluation of the cost drivers described in the parametric model on the basis of the cost models’ quality framework by Boehm[5]
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Authoring Augmented Reality scenes typically involves arranging concrete multimedia assets (e.g., 3D models, images, videos) in a scene's coordinate system. When creating or collecting assets might be too time consuming, or assets are... more
Authoring Augmented Reality scenes typically involves arranging concrete multimedia assets (e.g., 3D models, images, videos) in a scene's coordinate system. When creating or collecting assets might be too time consuming, or assets are simply non-existent at the moment of annotation the authoring process fails. To overcome this problem, we employ a workflow for connecting semantic concepts, rather than concrete assets, to an augmented scene. This allows deferring the retrieval of resources to the moment when the user interacts with the object. Additionally, the context of interaction can be employed to filter appropriate content. INDEX TERMS: K.6.1 [Management of Computing and Information Systems]: Project and People Management—Life Cycle; K.7.m [The Computing Profession]: Miscellaneous— Ethics 1 INTRODUCTION Content generation is one major cost factor during the creation of Augmented Reality experiences. Typical approaches in academia and industry rely on the careful and time in...
Research Interests: Computer Science, Knowledge Management, Web Technologies, Business Intelligence, E Business, and 14 moreSemantic Web, Social Semantic Web, Information Search, Collaborative Filtering, SEMANTIC WEB TECHNOLOGY, Domain Knowledge, Spectrum, Use Case, Emerging Technology, Natural Language Understanding, IGI Global, Service Integration, Social Network, and E Commerce
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ABSTRACT This chapter turns to the application of semantic technologies to areas where text is not dominant, but rather audiovisual content in the form of images, 3D objects, audio, and video/television. Non-textual digital content raises... more
ABSTRACT This chapter turns to the application of semantic technologies to areas where text is not dominant, but rather audiovisual content in the form of images, 3D objects, audio, and video/television. Non-textual digital content raises new challenges for semantic technology in terms of capturing the meaning of that content and expressing it in the form of semantic annotation. Where such annotations are available in combination with expressive ontologies describing the target domain, such as television and cultural heritage, new and exciting possibilities arise for multimedia applications.
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Abstract. The Internet of Services foresees a future Internet in which the provisioning of, access to and use of services will be as widespread as data is today. A number of challenges must be still overcome if this is to become a... more
Abstract. The Internet of Services foresees a future Internet in which the provisioning of, access to and use of services will be as widespread as data is today. A number of challenges must be still overcome if this is to become a reality, and it is our belief that semantic technologies can address many of these challenges. We foresee as a result of the combination of SOA and semantics the creation of a “Service Web”–a web in which billions of parties expose and consume billions of services seamlessly and transparently. This ...
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In this paper, we introduce NoTube's vision on deploying semantics in interactive TV context in order to contextualize distributed applications and lift them to a new level of service that provides context-dependent and personalized... more
In this paper, we introduce NoTube's vision on deploying semantics in interactive TV context in order to contextualize distributed applications and lift them to a new level of service that provides context-dependent and personalized selection of TV content. Additionally, lifting content consumption from a single-user activity to a community-based experience in a connected multi-device environment is central to the project. Main research questions relate to (1) data integration and enrichment-how to achieve unified and simple access to ...
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Tile: Topics Compass: Uncovering Trending Topics for Optimised Media Content Publication<br>Authors: Lyndon Nixon, Arno Scharl, Rasa Bocyte
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In this paper we present an extension of XML-based tuplespaces for the Semantic Web. This proposal draws on the ideas of tuplespace computing as a paradigm closer to the basic principles of the Web. We describe the evolution of tuplespace... more
In this paper we present an extension of XML-based tuplespaces for the Semantic Web. This proposal draws on the ideas of tuplespace computing as a paradigm closer to the basic principles of the Web. We describe the evolution of tuplespace computing, outline why tuplespaces are a suitable middleware for the Semantic Web and suggest how XMLSpaces can be extended to support Semantic Web technologies, like RDF(S) and OWL.
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This submission presents a first prototype for a new and innovative TV content analysis and publication system we call the Trans-Vector Platform (TVP). The TVP derives its added value by the aggregation of TV data from different sources... more
This submission presents a first prototype for a new and innovative TV content analysis and publication system we call the Trans-Vector Platform (TVP). The TVP derives its added value by the aggregation of TV data from different sources into a Metadata Repository. Its value for TV viewers and TV content publishers alike is reflected in a number of concept applications to be built on top of the TVP. The TVP and the associated applications will now be tested in the EU H2020 funded project ReTV (www.retv-project.eu) with end users to validate the added value of the TVP to TV viewers and the organizations that provide them with media content.
Deliverable D1.1.2 (WP1.1) This document provides a set of business cases on how Semantic Web technologies have solved or could hypothetically solve concrete business issues which are relevant in respect to some strategic industries. It... more
Deliverable D1.1.2 (WP1.1) This document provides a set of business cases on how Semantic Web technologies have solved or could hypothetically solve concrete business issues which are relevant in respect to some strategic industries. It also considers future developments in research and industry which are of relevance to the deployment of Semantic Web technologies in business cases. From this an analysis of the potential of and the needs for deployment of Semantic Web solutions in industry is carried out and a few key use cases are identified. Document Identifier: KWEB/2004/D1.1.2/v1.0
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This research note reports on an initial exploration of the usefulness of online image annotation services for the measurement of destination image. Destination Marketing Organisations (DMOs) today, while actively data mining textual... more
This research note reports on an initial exploration of the usefulness of online image annotation services for the measurement of destination image. Destination Marketing Organisations (DMOs) today, while actively data mining textual content for insights into visitor sentiment towards their destination or the most popular topics or themes of visitors at that destination, increasingly face usage of digital imagery or videos - yet non-textual content is not as easily ‘understood’ by machines to provide the same insights. The recent emergence of online services for image annotation might be of value to DMOs but to the best of the author’s knowledge no evaluation of their usefulness has been made in the touristic domain. We present here initial results which indicate the progress that image annotation services still need to make before DMOs could use them in destination image measurement.
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Creating and maintaining augmented scenes for mobile Augmented Reality browsers can be a challenging and time consuming task. The timeliness of digital information artifacts connected to changing urban environments require authors to... more
Creating and maintaining augmented scenes for mobile Augmented Reality browsers can be a challenging and time consuming task. The timeliness of digital information artifacts connected to changing urban environments require authors to constantly update the structural representations of augmented scenes or to accept that the information will soon be outdated. We present an approach for retrieving multimedia content and relevant web services for mobile Augmented Reality applications at runtime. Using semantic web technologies we are able to postpone the retrieval of actual media items to the moment a user actually perceives an augmented scene. This allows content creators to augment a scene only once and avoid continous manual updates. We also discuss the tradeoff between runtime content retrieval using Linked Data concepts and decreased control over the scene appearance at the time of authoring that comes along with this approach.
While using semantic data can enable improved retrieval of suitable jobs or applicants in a recruitment process, cases of inconsistent or overly specific queries which would return no results still have to be dealt with. In this paper the... more
While using semantic data can enable improved retrieval of suitable jobs or applicants in a recruitment process, cases of inconsistent or overly specific queries which would return no results still have to be dealt with. In this paper the extension of a semantic job portal with a novel query relaxation technique is presented which is able to return results even in such cases. Subsymbolic methods estimate the (quantitative) similarity between job or applicant descriptions. Symbolic approaches allow a more intuitive way to formulate and handle preferences and domain knowledge. But due to their partial preference order they can not rank all results in practice like subsymbolic approaches. In this paper we propose a query relaxation method which combines both methods. This method demonstrates that by having data based on formal ontologies, one can improve the retrieval also in a user-friendly way.
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The Social Web is increasingly taking up the daily time of consumers and is becoming a primary source of impressions about tourism destinations. The recent shift towards more visual content, as evidenced in the fast growing social network... more
The Social Web is increasingly taking up the daily time of consumers and is becoming a primary source of impressions about tourism destinations. The recent shift towards more visual content, as evidenced in the fast growing social network Instagram being largely a photo sharing site, means that DMOs need to consider how photos of their destinations can be influencing consumers’ destination image. We present our study on how the selection of images from a social media site (Instagram) to promote a destination can be used to influence destination image. As a basis for our study, we have selected the DMO channels of Jordan and Costa Rica in Instagram. Through focus groups and a Likert-scale survey, we draw first conclusions on which types of photos are most effective to positively promote a destination and how the consumers’ previous image of a destination could affect this.
This demo will show work to enhance a Web intelligence platform which crawls and analyses online news and social media content about climate change topics to uncover sentiment and opinions around those topics over time to also incorporate... more
This demo will show work to enhance a Web intelligence platform which crawls and analyses online news and social media content about climate change topics to uncover sentiment and opinions around those topics over time to also incorporate the content within nontextual media, in our case YouTube videos. YouTube contains a lot of organisational and individual opinion about climate change which currently can not be taken into account by the platforms sentiment and opinion mining technology. We describe the approach taken to extract and include the content of YouTube videos and why we believe this can lead to improved Web intelligence capabilities.
TV and Web convergence is becoming more and more a reality. This paper provides an overview of the opportunities and challenges that arise in future TV environments regarding unobtrusive, context-aware personalisation of digital media... more
TV and Web convergence is becoming more and more a reality. This paper provides an overview of the opportunities and challenges that arise in future TV environments regarding unobtrusive, context-aware personalisation of digital media content. Subsequently, it describes the vision and first conceptual personalisation approach within the LinkedTV EU project. LinkedTV aims to seamlessly interlink TV and Web content, while enhancing the users’ TV experience by producing contextualized user models based on the online transactional and physical behaviour of the user.
EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D1.3.3 (WP1.3) This deliverable presents the requirements for setting up the Ontology Outreach Advisory OOA. Document Identifier: KWEB/2005/D1.3.3./v2.3 Class Deliverable... more
EU-IST Network of Excellence (NoE) IST-2004-507482 KWEB Deliverable D1.3.3 (WP1.3) This deliverable presents the requirements for setting up the Ontology Outreach Advisory OOA. Document Identifier: KWEB/2005/D1.3.3./v2.3 Class Deliverable KWEB EU-IST-2004-507482 Version: 2.3 Date: January 31, 2006 State: Final Draft Distribution: Public
In a previous technical report [TNL04] we have introduced an extension of XML-based tuplespaces for the Semantic Web. By applying a tuplespace approach to the concurrent interaction of multiple clients with distributed knowledge... more
In a previous technical report [TNL04] we have introduced an extension of XML-based tuplespaces for the Semantic Web. By applying a tuplespace approach to the concurrent interaction of multiple clients with distributed knowledge repositories, we foresee the benefits of a simple yet powerful co-ordination model in which parallel and distributed processes can be uncoupled in space and time. The proposed system has been called Semantic Web Spaces and is envisaged as acting as a middleware platform for real world Semantic Web applications [TPBN05, TNPB05b], in which it can handle in place of the client the administration of distributed data, co-ordination of multiple processes and mediation between ontological representations. This technical report outlines a conceptual model for Semantic Web Spaces. It provides answers to the questions that arise when trying to combine the Linda/tuplespace paradigm with the Semantic Web and Semantic Web compatible knowledge representations. Considering...
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This poster and accompanying demo shows how Semantic Web and Linked Data technologies are incorporated into an Augmented Reality platform in the SmartReality project and form the basis for enhanced Augmented Reality mobile applications in... more
This poster and accompanying demo shows how Semantic Web and Linked Data technologies are incorporated into an Augmented Reality platform in the SmartReality project and form the basis for enhanced Augmented Reality mobile applications in which information and content in the user's surroundings can be presented in a more meaningful and useful manner. We describe how things of interest are described semantically and linked into the Linked Open Data cloud. Relevant metadata about things is collected and processed in order to identify and retrieve related content and services on the Web. Finally, the us- er sees this information intuitively in their Smart Reality view of the reality around them.
In this paper, we introduce the VideoLecturesMashup , which presents re-mixes of learning materials from the VideoLectures.NET portal based o n shared topics across different lectures. Learners need more efficient access to teaching on... more
In this paper, we introduce the VideoLecturesMashup , which presents re-mixes of learning materials from the VideoLectures.NET portal based o n shared topics across different lectures. Learners need more efficient access to teaching on specific topics which could be part of a larger lecture (focused on a different topic) and occur ac ross lectures from different collections in distinct domains. Current e-learning video portals can not address this need, either to quickly dip into a shorter part focused on a specific topic of a longer lecture or to explore what is taught about a certain topic easily across collections. Th rough application of media technologies promoted by the MediaMixer project 1 – semantic annotation and media fragment URIs – we have implemented a first demo of VideoLecturesMashu p.
This paper considers if, and to what extent, visual social media can change the viewer’s perceived image of a tourism destination as well as which types of visual content are most effective in projecting a destination image. The results... more
This paper considers if, and to what extent, visual social media can change the viewer’s perceived image of a tourism destination as well as which types of visual content are most effective in projecting a destination image. The results from an online survey, which compares three different test groups and their image of Mexico City, shows that UGC images from Instagram, as well as random Google images, are more effective at improving destination image than the UGC images reposted by a DMO. Additionally, this study uses image annotations to determine which features in images are most important in terms of their contribution to an improvement in overall destination image, presenting a re-usable set of visual features for future work on using annotations in the measurement of visual destination image.
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Sentic computing relies on well-defined affective models of different complexity—polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions. When used to measure... more
Sentic computing relies on well-defined affective models of different complexity—polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emotions. When used to measure communication success, even the most granular affective model combined with sophisticated machine learning approaches may not fully capture an organisation’s strategic positioning goals. Such goals often deviate from the assumptions of standardised affective models. While certain emotions such as Joy and Trust typically represent desirable brand associations, specific communication goals formulated by marketing professionals often go beyond such standard dimensions. For instance, the brand manager of a television show may consider fear or sadness to be desired emotions for its audience. This article introduces expansion techniques for affective models, combining common and commonsense knowledge available in knowledge graphs with language models and a...
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TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the... more
TV broadcasters and other organizations with online media collections which wish to extend the reach of and engagement with their media assets conduct digital marketing activities. The marketing success depends on the relevance of the topics of the media content to the audience, which is made even more difficult when planning future marketing activities as one needs to know the topics that the future audience will be interested in. This paper presents the innovative application of AI based predictive analytics to identify the topics that will be more popular among future audiences and its use in a digital content marketing strategy of media organisations.