1. redazione

    Fishing in the Data Ocean

    by

    Title: Fishing in the Data Ocean
    Team: Academia Sinica Center for Digital Cultures (ASCDC)


    Short description:

    The TaiUC (Taiwan Digital Archives Union Catalogue), similar to the Europeana, an online portal with over 5 million digital objects, has collected digitized objects over the past 15 years from more than 100 libraries, archives, museums, academic institutions, and government agencies in the whole Taiwan, such as the National Central Library, Academia Historica and National Palace Museum. The collection includes books, newspapers, artworks, photos, specimen and sounds. Most of the metadata and content are in Chinese and Asia Culture oriented. Academia Sinica Center for Digital Cultures (ASCDC) is now in charge of the sustainable operation. The presentation aims to report how we adopt Lined Open Data (LOD) approach to publish these structure data, in the light of the Fish Datasets in our first stage of LOD project, to make metadata and its digital objects get connected with related resources in the world.

    179 votes, average: 4.36 out of 5179 votes, average: 4.36 out of 5179 votes, average: 4.36 out of 5179 votes, average: 4.36 out of 5179 votes, average: 4.36 out of 5 (179 votes, average: 4.36 out of 5)
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  2. redazione

    City-Zen

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    Title: City-Zen
    Team: Alex C. Olivieri, Shaban Shabani, Maria Sokhn, Basma Makhlouf


    Short description
    :
    City-Zen is an interactive spatio-temporal knowledge-browsing platform that aims to valorise cultural heritages. Considering the explosive growth of information, data and knowledge sharing can ensure valuable interdisciplinary applications. While many organizations propose relevant data sets, they are hardly accessed, analysed and reused because of the formats inconsistency and the inappropriate information browsing and visualization. The goal of the project is to valorise the existing cultural heritage through a citizen centric design platform. The use case of this project involves a user willing to discover the history of a region and to embark in a cultural journey in the past.

    146 votes, average: 4.18 out of 5146 votes, average: 4.18 out of 5146 votes, average: 4.18 out of 5146 votes, average: 4.18 out of 5146 votes, average: 4.18 out of 5 (146 votes, average: 4.18 out of 5)
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  3. redazione

    TrinkerMedia

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    Title: TrinkerMedia
    Team: Javier Pereda

    Short description:

    This interface facilitates the creation of queries that normally require a high level of complexity, by making the most of user’s embodied cognition. While the back engine of this tool works with Europeana Aggregated Fields as well as diverse Parser Syntax to connect ideas through JavaScript and JQuery, the user gets to create intricate queries to explore the digital collections in a simple and engaging environment, reducing substantially the difficulties that usually accompany querying languages and large datasets. The objects used in the interface are paper models that can be printed and built by users, encouraging creation and co-creation.

    92 votes, average: 4.11 out of 592 votes, average: 4.11 out of 592 votes, average: 4.11 out of 592 votes, average: 4.11 out of 592 votes, average: 4.11 out of 5 (92 votes, average: 4.11 out of 5)
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  4. redazione

    Telemeta

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    Title: Telemeta
    Team: Guillaume Pellerin Thomas Fillon Joséphine Simonnot Aude Da-Cruz-Lima Anas Ghrab (Tunisie)

    Short description:

    Since 2007, French ethnomusicologists and Parisson Company have joined their efforts to develop a collaborative web platform for managing and improve access to 40.000 digitized sound archives from the CNRS-Musée de l’Homme collections (http://archives.crem-cnrs.fr/). Today, 23.000 folk music recordings are on free access. This Multimedia Asset Management System is able to produce various visualizations, time-based annotations, semantic segmentation, in order to involve the local communities and the users.

    9 votes, average: 3.56 out of 59 votes, average: 3.56 out of 59 votes, average: 3.56 out of 59 votes, average: 3.56 out of 59 votes, average: 3.56 out of 5 (9 votes, average: 3.56 out of 5)
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  5. redazione

    Tag The Web

    by

    Title: Tag The Web
    Team: Jerry Fernandes Medeiros, Bernardo Pereira Nunes


    Short description
    :
    The main purpose of this project is to create a universal classification on the Web based on the common sense rather than on a traditional classification system created by domain experts. That is, we believe it is easier to an ordinary user access and retrieve information from a Web created by people to people rather than by experts. The proposed method is a general purpose classification that is able to classify any text-based content on the Web, for instance, from scientific articles to even tweets. At the current stage, the proposed method is able to classify any content in English and can be accessed at http://www.TagTheWeb.com.br.

    84 votes, average: 4.44 out of 584 votes, average: 4.44 out of 584 votes, average: 4.44 out of 584 votes, average: 4.44 out of 584 votes, average: 4.44 out of 5 (84 votes, average: 4.44 out of 5)
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  6. redazione

    Annif

    by

    Title: Annif
    Team: Osma Suominen

     

    Short description:

    Annif is a statistical automated indexing tool for libraries, archives and museums. After feeding it a SKOS vocabulary and existing openly available metadata from the Finna search engine, it knows how to assign subjects for new documents. It also has a REST API and a mobile web app that can analyze physical documents such as books. With Annif, we can add semantics to documents in three languages using our own indexing vocabulary. If we win, we will make it easier for everyone to turn their existing metadata into a corpus and use it to perform automated subject indexing.

    Country: Finland

    22 votes, average: 4.36 out of 522 votes, average: 4.36 out of 522 votes, average: 4.36 out of 522 votes, average: 4.36 out of 522 votes, average: 4.36 out of 5 (22 votes, average: 4.36 out of 5)
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  7. redazione

    ResearchSpace

    by

    Title: ResearchSpace
    Team: Dominic Oldman

    Short description:

    ResearchSpace is an extensible collaborative research environment based exclusively on Linked Data but using the CIDOC CRM to provide the context and meaning required for scholarly knowledge building. ResearchSpace uses knowledge representation rather than cataloguing standards to help humanities researchers describe a far wider range of knowledge and provide a platform not just for reference but which can support digital research. The method of representation is independent of the software so data can be exported and preserved without loss of meaning. Tools include, Semantic Web search and faceting, Semantic Narratives, IIIF integration, clipboards supporting custom datasets and ontology based visualisation.

    Country: United Kingdom

    47 votes, average: 4.34 out of 547 votes, average: 4.34 out of 547 votes, average: 4.34 out of 547 votes, average: 4.34 out of 547 votes, average: 4.34 out of 5 (47 votes, average: 4.34 out of 5)
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  8. redazione

    TALDIS: Time and Linked Data in Space

    by

    Title: TALDIS. Time and Linked Data in Space
    Team: Richard Palmer

    Short description:

    TALDIS is a visualisation of linked data in space and time, using the data visualisation technique of Space-Time Cubes. This demo video uses D3.js and A-Frame to create the WebVR browsable experience of a sample set of data. With improved support for WebVR in browsers, techniques such as this provide ways for users to explore linked data, without having to be immediately confronted with writing SPARQL queries. This would let a user get a sense of the data and perhaps immediately see patterns and clusters that they could then query further using more traditional linked data querying methods.

    10 votes, average: 3.70 out of 510 votes, average: 3.70 out of 510 votes, average: 3.70 out of 510 votes, average: 3.70 out of 510 votes, average: 3.70 out of 5 (10 votes, average: 3.70 out of 5)
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  9. redazione

    WarSampo

    by

    Title: WarSampo
    Team: Eero Hyvönen Erkki Heino Esko Ikkala Mikko Koho Petri Leskinen Eetu Mäkelä Minna Tamper Jouni Tuominen


    Short description
    :

    WarSampo publishes massive collections of heterogeneous, distributed data about the WW2 on the Semantic Web. The datasets are harmonized using event-based modeling and are enriched semantically with each other’s contents and external data. WarSampo has two components: 1) WarSampo Linked Open Data service of over 9M triples for Digital Humanities research and for creating applications. 2) WarSampo Semantic Portal, based on the data service, allowing both historians and laymen to study war history and destinies of their family members in the war from 7 interlinked perspectives. The portal had nearly 20,000 visitors during the first few days after its publication.

    21 votes, average: 4.67 out of 521 votes, average: 4.67 out of 521 votes, average: 4.67 out of 521 votes, average: 4.67 out of 521 votes, average: 4.67 out of 5 (21 votes, average: 4.67 out of 5)
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  10. redazione

    Oslo public library

    by

    Title: Oslo public library
    Team: Arve Søreide, Asgeir Rekkavik, Benjamin Rokseth, Bjørn-Erik Bjørgan, Cecilie Bergh, Igor Koudrik, Kjetil Jørgensen-Dahl, Kristoffer Moe, Marianne Rolfsen, Nicho Paulik, Petter Goksøyr-Åsen, Rurik Greenall and the rest of Deichmanske bibliotek

    Short description:
    The Application project has created a new library services ecosystem. Based at Oslo public library, we have created ls.ext; it’s modular and uses containers that interface using REST-APIs; it does everything a library system should do and does it cleanly, quickly, universally-accessibly — like other systems you enjoy using on the web. There are a couple of differences though: it’s open source, under constant development and it uses linked data as its core metadata format. Take a look at Oslo public library’s production system

    Download the source: github.com/digibib/ls.ext

    19 votes, average: 4.11 out of 519 votes, average: 4.11 out of 519 votes, average: 4.11 out of 519 votes, average: 4.11 out of 519 votes, average: 4.11 out of 5 (19 votes, average: 4.11 out of 5)
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