Deliverables

On this page you will find all publicly available deliverables of MULTISENSOR, once they have been finished.

The following deliverables are currently available (sorted by delivery-date):

Deliverable Title Description
 D9.1 Project presentation, communication kit, fact sheet, communication and dissemination plan This deliverable presents the dissemination principles of MULTISENSOR and defines specific targets. It contains the project fact sheet, project presentation, project overview “communication kit” (poster & flyer), events and venues, standardization activities as well as the role of the MULTISENSOR User Group.
D2.1 Empirical Study This deliverable presents the results of the empirical study on media monitoring and internationalisation resources. It indentifies the type of information that needs to be extracted as well as the encoding types necessary for the targeted extraction of news and financial information to support the media monitoring and SME internationalisation use cases.
D9.2 Project Website This document describes the objectives of the website and then presents its structure, the different sections and functionalities and how it is going to be used throughout the project lifecycle.
D4.2 Mapping discovery and validation This Deliverable reports the developed methodology of the mapping discovery between ontologies and on the approaches used for the validation of these mappings. The Deliverable gives an overview of the developed software tool and user interface for ontology matching and reports on the initial study for content alignment and integration of the MULTISENSOR knowledge base and on the development of a baseline methodology for content alignment.
D7.5 Crawling infrastructure This document describes the MULTISENSOR crawling infrastructure. More specifically, it reports the techniques and the freely available crawlers used in the MULTISENSOR platform.
D5.1 Basic Semantic Infrastructure This deliverable presents the ontologies selection and identification of ontology modelling, including the first RDF data dump with data stored in OWLIM as a reason-able view.
D7.1 Roadmap towards the implementation of the MULTISENSOR platform This deliverable defines the outline of the time plan for the development of the MULTISENSOR platform. It includes a high level view of the MULTISENSOR Platform architecture, the specification of the infrastructure layout, an initial functional description of each of the technical modulesand a summary of the use cases.
D8.2 User requirements, specification of pilot use cases and validation plan This deliverable details the user requirements for the end-user groups targeted by the project: Journalists and commercial media monitors as well as SMEs that intend to expand into foreign markets. It shows dependencies of users as well as possible MULTISENSOR functionality to support the decision making process.
D7.2 Technical requirements and architecture design This deliverable provides the blueprint for the implementation of the MULTISENSOR platform architecture. It discusses the technical requirements for the platform and its translation into a multi-tier, service-oriented architecture.
D6.1 Summarisation infrastructure and baselines This deliverable presents the implementation of an extractive summarisation baseline for both single and multiple-document summarisation, and the progress towards the creation of a summarisation dataset.
D2.2 Basic techniques for speech recognition, text analysis and concept detection This deliverable reports on the basic techniques for text analysis, audio speech recognition, machine translation, entity recognition and multimedia concept detection developed.
D3.1 Report on context representation and experimental findings This deliverable describes the set of contextual features that will be used to characterise media items within MULTISENSOR for the context representation and analysis that is going to be used within the project.
D4.1 Multimedia indexing and topic-based classification This deliverable describes the techniques for topic-based classification using supervised machine learning on top of a vector-based content representation.
D7.3 Graphic interfaces and operational prototype This deliverable describes the technical components and infrastructure of the initial Operational Prototype for the MULTISENSOR platform. It provides an overview of the demonstration application prototypes, the organisation and composition of the different modules, and the hosting infrastructure.
D9.3 Report on standardisation, dissemination
and User Group activities v2		 This deliverable presents all standardisation, dissemination and User Group activities related to MULTISENSOR that have taken place during the first 18 months of the project.
D3.2 Indicators for media monitoring and internationalisation This deliverable presents indicators for media monitoring, journalism and SME internationalisation. These indicators are defined both as conceptual factors and measurable metrics.
D5.2 Hybrid Reasoning Techniques The goal of this document is to describe the technical details and motivation behind the implementation of four different types of reasoning strategies – Hybrid reasoning (Forward plus Backward), Parallel multi-threaded reasoning, GeoSPARQL and SPARQL-MM. It explains how these approaches cover the specific requirements of the main use cases expressed in D8.2.
D9.4 Market analysis and initial exploitation plan This document is the limited public version of the initial exploitation plan for MULTISENSOR project. It designed to ensure general usability and exploitability of the project results by illustrating how MULTISENSOR technologies and tools could contribute to the everyday tasks of journalists, media monitoring companies and export managers for SMEs which are on the brink of internationalization.
D7.4 First Prototype This document describes the technical components and infrastructure of the First Prototype
for the MULTISENSOR platform.
It provides an overview of the integration status of the different components, the improvements of the three UC applications, and the hosting infrastructure. The First Prototype is the new version of the platform that integrates most of the services as a baseline version according to the requirements in Milestone 3.
D3.3 Techniques for sentiment extraction and social interaction analysis This document describes the methodology used to define polarity and to do the sentiment extraction as well as information propagation and social interaction analysis. It contains the set of sentiment features that are used to characterise news media textual content within MULTISENSOR.
D2.3 Advanced techniques for text analysis, machine translation and concept extraction This document expands the work done for the deliverable D2.2, continues the description of basic techniques, presents the progress in the development of all modules, discusses the advanced techniques applied so far, and reports the evaluation results.
D5.3 Decision Support Techniques This document describes the technical details and motivation behind the implementation of a decision support system and a recommendation engine. It explains how these systems are developed, implemented and integrated, and how they cover the technical requirements.
D6.2 Content selection and presentation algorithms This document reports the development of methods for obtaining metrics or relevance for contents in the MULTISENSOR semantic repository and a first evaluation of the content delivery procedures developed within the project.
D7.6 Second Prototype This document describes the technical components and infrastructure of the advanced Second Prototype for the MULTISENSOR platform. It provides an overview of the demonstration application prototypes, the organisation and composition of the components (modules) and improvements with respect to the First Prototype (D7.4). The Second Prototype combines operational infrastructure improvements by replacing all dummy services with fully functional services.
D9.5 Report on standardisation, dissemination and User Group activities This document reports on standardisation, dissemination and the User Group activities related to MULTISENSOR that have taken place during the first 24 months of the project.
 D8.4 Second prototype evaluation report This document contains the evaluation report with regard to the second MULTISENSOR prototype. It details the evaluation methodology and tools, the evaluation process and the evaluation results. It also includes an analysis of evaluation results and an update of user requirements as the basis for further R&D within the project.
D4.3 Multimodal indexing module for topic detection and retrieval The document describes the techniques for multimodal topic detection and retrieval of socially interconnected multimedia-enriched objects (SIMMO). Topic detection is approached as news clustering, where the number of topics is efficiently estimated and multimedia retrieval is based on multimodal fusion of textual and visual features.
D2.4 Speech analysis, concept extraction and event detection modules This deliverable presents the final functionality of the techniques for multimodal content analysis and their encapsulation in the MULTISENSOR architecture.
D3.4 Modules for context representation, sentiment extraction and information propagation in social media This document presents the advanced modules for information propagation in social media.
D4.4 Semantic integration framework This document describes the final versions of the developed methodologies for ontology and content alignment. It focuses on the implementation of extensions to the Alignment API, on the developments regarding the deployed Entity Alignment service as well as the final version of the Content Alignment Pipeline for assessing article similarities and contradictions.
D5.4 Final semantic infrastructure and final decision support system This document presents the MULTISENSOR RDF application profile, as well as the semantic infrastructure integration, i.e. how easily the system can be adapted to different languages and domains.
D6.3 Integrated summarisation system The document describes the development of advanced extractive and abstractive summarisation methods, including evaluation results for all summarization functionalities developed in the scope of the project.
D7.7 Final system This document describes technical components and infrastructure for the Final System of the MULTISENSOR platform, providing an overview of the system and improvements with respect to the Second Prototype.
D8.5 Final system evaluation report The document contains the evaluation report with regard to the final MULTISENSOR System. It details the evaluation methodology and tools, the metrics for technical solutions, the evaluation process itself and the evaluation results.
D9.6 Final dissemination report This document contains the final overview of all dissemination activities pursued during the project lifetime. It gives a general as well as detailed KPIs set out for the project, comparing it to the actual target numbers.
D9.7 Final exploitation report This document describes general exploitability of the project results by illustrating how MULTISENSOR technologies and tools can potentially contribute to the everyday tasks of journalists, media monitoring companies and business intelligence service partners targeting SMEs on the brink of internationalisation. It covers general market conditions and analysis existing tools, identifying marketable potential and niches for the project results
D9.8 Public Showcase The document describes the final MULTISENSOR Showcase and all its components, including a showcase video a fact sheet and a static version of the website.
Final Report The final report summarizes the work carried out and the results obtained under the grant agreement, during the lifetime of the project.