Recursos > semantic web

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    Publicado el 13.1.2019 por Equipo GNOSS

    Así se presentan las ontologías SPAR en su web: "In the past, several groups have proposed (Semantic Web) models, such as RDFS vocabularies and OWL ontologies, to describe particular aspects of the publishing domain. However, these models were mainly concerned with the description of the metadata of bibliographic resources (e.g., DC Terms, PRISM and BIBO). One of the first attempts to address the description of the whole publishing domain is the introduction of the Semantic Publishing and Referencing (SPAR) Ontologies. SPAR is a suite of orthogonal and complementary OWL 2 ontologies that enable all aspects of the publishing process to be described in machine-readable metadata statements, encoded using RDF."

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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    Unfortunately, the Semantic Web is also a vision that, to some, seems very distant, perhaps even outdated.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 9.1.2018 por Equipo GNOSS

    Las Tecnologías Semánticas apuntalan la Inteligencia Artificial conversacional

    De manera discreta, las tecnologías semánticas se han convertido en un componente clave de la Inteligencia Artificial y otras aplicaciones de big data.

    Después de una larga hibernación, la Inteligencia Artifical ha despertado con energías para probar su valor en los negocios. Las tecnologías semánticas apoyan este resurgimiento, ayudanda a los usuarios a comprender textos, audios y relaciones entre los datos.

    Leer más en Search Data Management.

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    Publicado el 6.12.2016 por Equipo GNOSS

    2017 Trends for Semantic Web and Semantic Technologies - DATAVERSITY

    Article from Dataversity, published by By  , November 29, 2016.

    "Are you hearing the term “Semantic Web” as often as you may have in the past?  There’s no denying the importance of the technologies, standards, concepts, and collaborations that define the Semantic Web proper and all that is affiliated with it or grown out of it. [...] As we head into 2017, DATAVERSITY® wanted to follow up the state of the Semantic Web and Semantic technologies (both standards-body related and not)."

    Read full article.

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    Publicado el 2.6.2016 por Equipo GNOSS

    ¿Qué pasó con la Web Semántica? - What happened to the Semantic Web? - Kingsley Idehen

    Kingsley Idehen, CEO de Openlink Software, creadores de Virtuoso, expone en este post su visión sobre el estado actual de la Web Semántica.

    El provocador título del post es el punto de partida para rebatir la idea de que la web semántica sea una promesa tecnológica incumplida, sino que, más bien, lo que ha sucedido es que su llegada no ha tenido la espectacularidad que algunos esperaban. En palabras de Kingsley Idehen: "In this post, I will demonstrate that as expected [1][2], its arrival was without fanfare, but we are inarguably there."

    El autor proporciona dos ejemplos, relacionados con la experiencia de búsqueda, particularmente en Google.

    En primer lugar, la creación del vocabulario compartido Schema.org, por parte de Google, Microsoft, Yahoo!, Yandex, y otros.

    En segundo, la creación del Knowledge Graph de Google, y su aplicación indirecta en las búsquedas normales, y directa en búsquedas especiales (Custom Search Engine).

    Estos ejemplos demuestran que los objetivos básicos de la Web Semántica ya se han alcanzado:

    • La web está llena de documentos HTML que incluyen datos semánticamente enriquecidos.
    • Estos documentos crean una nueva dimensión Web en la que los enlaces ya no son sólo entre documentos, sino que funcionan como nombres desambiguados para cualquier entidad, permitiendo la construcción de sentencias en lenguaje natural para codificar y decodificar información (datos contextualizados), comprensibles por usuarios y máquinas (bots).

    En palabras del autor: "The fundamental goal of the Semantic Web Project has already been achieved. Like the initial introduction of the Web, there wasn't an official release date — it just happened!"

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    Publicado el 29.7.2015 por Equipo GNOSS

    Nuevas especificaciones para CSV ON THE WEB. Candidate Recommendation stage. W3C

    CSV (Comma Separated Values) es un formato antiguo, pero muy usado, de intercambio y publicación de datos en formato tabular. En el Grupo de Trabajo CSV on the Web, del W3C, se le está proporcionando una nueva vida, convirtiéndolo en un estándar Web de publicación de datos, incluyendo la declaración de formatos.

    La propuesta de estándar consta de estos 4 documentos: 

    Estos documentos toman CSV como su caso de uso, pero podrían aplicarse a cualquier otro formato tabular de datos compartidos (por ejemplo, TSV, Tab Separated Values). Se espera terminar la especificación a finales de octubre de 2015.

    Especialmente interesante resulta, en el ámbito de la Web Semántica y Linked Data, la especificación para convertir las filas de una tabla en triples RDF, mediante el uso de plantillas. 

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    Presentación

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    Publicado el 28.5.2015 por Equipo GNOSS

    Timeline: Google and Semantic Web

    En este artículo Bill Slawski hace un repaso de la historia de Google desde el punto de vista de la aplicación, en cada una de sus fases y evoluciones, de las tecnologías y desarrollos vinculados a la Web Semántica.

    A Timeline to Semantic Web Developments at Google, including Google's Second Patent, the Knowledge Graph, Hummingbird and other inventions.

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    Publicado el 5.3.2015 por Equipo GNOSS

    Cambridge Semantics Named to KMWorld’s 2015 ‘100 Companies That Matter in Knowledge Management’

    Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, today announced that it has been named to KMWorld’s 2015 list of the ‘100 Companies That Matter in Knowledge Management.’

    To create the list each year, KMWorld assembles a select group of colleagues, analysts and system integrators who identify organizations dedicated to the true value of discovery and delivery of the right information to the right people at the right time.

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    Publicado el 19.12.2014 por Equipo GNOSS

    SADI - Semantic Automated Discovery and Integration

    Are you a data or service provider?

    SADI is a framework for discovery of, and interoperability between, distributed data and analytical resources. It combines simple, stateless, GET/POST-based Web Services with standards from the W3C Semantic Web initiative. The objective of SADI is to make it easy for data and analytical tool providers to quickly make their resources available on the Semantic Web with minimal disruption to their usual practices. SADI is quite a distinct “technology” in that there’s nothing to it… literally! SADI avoids creating new technologies or non-standard Web “infrastructure” (e.g., message formats). It simply defines an open set of best-practices and conventions, within the spectrum of existing standards, that allow for a high degree of semantic discoverability and interoperability between participating services. Moreover, many of these integrative behaviors have not been observed before in any precedent, distributed system!

    Do you need data?

    Though you will probably never even know you are using it, SADI was designed with you in mind! SADI enables the data sources and analytical websites that you use every day to provide their resources to you in a much more intuitive way. This means that the software you use to interact with these resources will also become “smarter” when it is SADI-enabled, because SADI is specifically designed to “think” the way you “think”. If there’s a resource that you would like to see available through SADI, contact us, or contact your IT service provider. If there’s a software tool that you think would benefit from being SADI-enabled, tell us about it, or write to the provider of that tool with your request! The open-source SADI project provides a place where participants can submit software and/or ontological tools that adhere to these conventions, and can be used by others. This helps to “spread the word” and make it easier for new resources to become semantically interoperable.

    Development of SADI is generously supported by CANARIE, the Heart and Stroke Foundation of B.C. and Yukon, the Canadian Institutes of Health Research, and Microsoft Research.

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    Publicado el 18.12.2014 por Pablo Hermoso de Mendoza González

    Texto escrito por: Rafael Berlanga, Oscar Romero, Alkis Simitsis, Victoria Nebot, Torben Bach Pedersen,Alberto Abelló. María José Aramburu.

    Los autores hacen un análisis de cómo las tecnologías asociadas a la Web Semántica están impactando en el ámbito de la inteligencia de negocio, en los productos denominados Business Intelligence.

    Resumen su artículo de esta forma:

    His chapter describes the convergence of two of the most influential technologies in the last decade, namely business intelligence (BI) and the Semantic Web (SW). Business intelligence is used by almost any enterprise to derive important business-critical knowledge from both internal and (increasingly) external data. When using external data, most often found on the Web, the most important issue is knowing the precise semantics of the data. Without this, the results cannot be trusted. Here, Semantic Web technologies come to the rescue, as they allow semantics ranging from very simple to very complex to be specified for any web-available resource. SW technologies do not only support capturing the “passive” semantics, but also support active inference and reasoning on the data. The chapter first presents a motivating running example, followed by an introduction to the relevant SW foundation concepts. The chapter then goes on to survey the use of SW technologies for data integration, including semantic

     

     

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