Recursos > semantic data

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    Publicado el 17.9.2018 por Ricardo Alonso Maturana

    The Semantic Web provides an enticing vision of our online future. This next-generation Web will enable intelligent computer assistants to work autonomously on our behalf: scheduling our appointments, doing our shopping, finding the information we need, and connecting us with like-minded individuals.

    Unfortunately, the Semantic Web is also a vision that, to some, seems very distant, perhaps even outdated. It has been over a decade since it was popularized in a May 2001 article in Scientific American. Semantic Web researchers and engineers have been toiling even longer on the monumental technical and sociological challenges inherent in creating a global Semantic Web.

    The good news is that we are seeing evidence today of its accelerating emergence. Although still far from its grand vision, there are available today small “local” versions of semantic webs and intelligent assistants. Consumers can begin using these intelligent assistants today; producers can begin incorporating this next-generation semantic data into their current business models and applications.

    Paradoxically, the path to a global solution may evolve not only through the cooperation of a community, but through the selective forces of competition. As proprietary semantic networks and software agents vie for mass market dominance, winning technical and business models will emerge through a tapestry of data providers and services.

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    Publicado el 10.4.2017 por Equipo GNOSS

    Semantic Data Management in Practice Half-day Tutorial at WWW 2017

    After years of research and development, standards and technologies for semantic data are sufficiently mature to be used as the foundation of novel data science projects that employ semantic technologies in various application domains such as bio-informatics, materials science, criminal intelligence, and social science. Typically, such projects are carried out by domain experts who have a conceptual understanding of semantic technologies but lack the expertise to choose and to employ existing data management solutions for the semantic data in their project. For such experts, including domain-focused data scientists, project coordinators, and project engineers, our tutorial delivers a practitioner's guide to semantic data management. We discuss the following important aspects of semantic data management and demonstrate how to address these aspects in practice by using mature, production-ready tools:

    • i) storing and querying semantic data;
    • ii) understanding,
    • iii) searching, and
    • iv) visualizing the data;
    • v) automated reasoning;
    • vi) integrating external data and knowledge; and
    • vii) cleaning the data.

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    Compartido el 14.7.2010 por Equipo GNOSS

    Taller de Gestión de Datos Semánticos organizado por SemData, dentro del 36º Congreso Internacional de Bases de Datos Muy Grandes (http://www.vldb2010.org).
    El objetivo del taller de SemData es proporcionar una plataforma para la discusión y la investigación de varios aspectos relacionados con las bases de datos semánticas y la gestión de datos en las bases de gran tamaño.
    Los temas de interés del taller son los siguientes:

    • Repositorios y bases de datos semánticos.
    • Distribución, interoperabilidad y 'benchmarking'
    • Repositorios semánticos virtualizados.
    • Bus de datos semánticos.
    • Procesamiento de datos embebidos.
    • Indexado adaptativo y recuperación multi-modal.

    Lugar de celebración: Singapur.
    Fecha: 17 de septiembre de 2010.

     

    "The goal of the SemData workshop is to provide a platform for the discussion and investigation of various aspects related to semantic databases and data management in the large. Many of the semantic data management challenges cumulate in the need for scalable and performing database solutions for semantic data, a building block that runs largely behind comparable non-semantic technologies. In order to make semantic technologies take on the targeted market share, it is indispensable that technological progress allows semantic repositories to reach near performance parity with some of the best RDBMS solutions without having to omit the advantages of a higher query expressivity compared to basic key-value stores, or the higher schema flexibility compared to the relational model. It is time that one must no longer pay a heavy price in terms of longer run times or more expensive equipment for profiting from the flexibility of the generic physical model underlying the semantic graph-based structures of RDF. We also recognize that there will always be a burden with more flexibility. Hence, the goal is to minimize the drawbacks and maximize the advantages of the semantic RDF-minded repositories."

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    Compartido el 24.6.2010 por Ricardo Alonso Maturana

    "With just about every major brand and celebrity on Facebook and Twitter, the line between social media and popular culture is becoming harder to distinguish by the day. What is evident is the incredible power social media has in uncovering popular sentiment and the way information is being shared and disseminated. The sheer amount of data amassed on any social network on any given day holds an incredible amount of intelligence and insight into where the collective sentiment of the masses lies.

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    Compartido el 22.6.2010 por Pablo Hermoso de Mendoza González

     

     

    The Semantic Web is The Web only with more data and information consumable by machines.

    Imagine looking to buy "a yellow car". A search needs to know a page is about a car, that the car is still up for sale, that it is located not too far away. Such a search at the moment requires a lot of Googling or both the buyer and seller using an intermediary, such as a well known car trading Website.

    Using hyperlinks for common terms on your Web pages as well as the text moves you up the ladder towards machine processing. A browser, spreadsheet, search engine, (whatever) can then make simple inferences to match "custard", "lemon", as all actually being "yellow".

    The constant, virtuous feedback loop which built The Web may then drive agreements on terms, or at least mappings between common terms for your purposes which may enable you to further leaps of inference: "find me an automatic, yellow car" and have your agent discard the FooBar Model Z because they all had manual transmissions."

    Ultimately The Semantic Web is a set of standards, tools, and techniques, working towards the vision of a uniform, distributed Data Web, using hyperlinks to generically express data terms and relationships, allowing searches, mashups and inferences which will lead to some powerful and more exciting unintended consequences than the current, beautiful, but human oriented Web of Documents."

     

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