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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 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 27.10.2014 por Ricardo Alonso Maturana

    Bringing Speed & Precision to Search with Semantics - Semanticweb.com

    Dave Lloyd of ClickZ.com recently wrote, “People are becoming more sophisticated in their searching, using longer queries, more precise terms, and more contextual info in their queries. Clearly, there’s exponentially more content on the Web than there was even five years ago, and this means the needle-in-a-haystack science of algorithms must become more sophisticated in finding the most effective answers for queries. The expanding use of mobile and voice technologies are also changing how we search. We’ve arrived at a place where literal matching by itself isn’t good enough. In response, we’re moving toward a new normal: semantic search. It’s an idea that’s been in the works for a long time and was described by the Web’s creator Tim Berners-Lee in 2001 but is only recently going live in a way that affects regular users. Webster’s Online Dictionary defines semantic this way: ‘Of or relating to the meanings of words and phrases.’ That’s exactly what semantic search is about: figuring out the meaning of words and phrases as they are used in different contexts and for different purposes. It’s more than just a matching system.”

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    Publicado el 28.10.2013 por Equipo GNOSS

    Los problemas de privacidad de Facebook’s Graph Search (Semantic Web)

    Facebook Graph Search se lanzó en marzo de 2013, permitiendo a los usuarios buscar gente, imágenes, lugares e intereses con el motor de búsqueda de Facebook. Los resultados están adaptados a los datos personales del usuario, incluyendo información de los perfiles de los amigos.

    El problema es que el motor encuentra asuntos que, en la práctica, estaban sepultados en el pasado de los muros de Facebook, trayendo a primer plano momentos inoportunos o indiscretos de la vida de los usuarios.

    Publicado en semanticweb.com el: 10/25/2013 4:30:21 PM

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    Publicado el 28.8.2013 por Equipo GNOSS

    The Difference Between Semantic Search and Semantic Web

    En este post , reconocida consultora en el área de SEO nos habla sobre la diferencia entre la Web semántica y la Búsqueda semántica, además nos introduce el concepto de SEO semántica.

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    Compartido el 4.6.2013 por Pablo Hermoso de Mendoza González

    Este video de algo más de 5 minutos expresa las principales ideas del proyecto web www.mismuseos.net, un proyecto desarrollado por RIAM I+L LAB, pyme tecnológica española que trabaja en el campo de la web semántica.

    The main goal of Mismuseos.net is to present a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. We currently have collections of seven Spanish museums, where users can browse over 15,000 pieces of art and 2,650 artists. The featured applications are: faceted searches, enriched contexts and navigation through graphs. The search engine enables aggregated searches by different facets and summarization of results for each successive search.

    Mismuseos.net obtains the information about cultural goods from the Europeana dataset and the online collections of public Spanish Museums. It also extracts and links data from additional datasets of the Linking Open Data cloud, either to supplement information or to generate enriched contexts: Dbpedia, Geonames and Didactalia (a GNOSS project with an index of more than 50,000 open educational resources).

    Long description:

    GOALS

    Mismuseos.net shows a case of exploitation of Linked Data for the G.L.A.M. community through innovative end-user applications built on GNOSS, a semantic and social software platform. In more detail, the project is guided by the following goals:

    • Put data to work: exploit public datasets and information on museums to generate benefits for users and improve the user’s experience thanks to the potential of the semantic web.
    • Link datasets both to enrich content and generate accurate contexts of information building a cultural and educational graph.
    • Connect cultural and educational worlds in a knowledge ecosystem.

    SEMANTIC SOFTWARE SOLUTION: MISMUSEOS.NET

    Mismuseos.net is a free access semantic online solution for end-users that allows them to find and discover museums-related content, and also reach some related external information thanks to the correlation with other datasets. Mismuseos.net structures, organizes and makes available to you, in accordance with the principles promoted by the Linked Data Project, an extensive catalog of artworks that museums publish on the Web. Moreover, it links the catalog with other existing LOD educational knowledge bases allowing the generation of educational contexts related to cultural goods.

    We currently have a collection of seven Spanish museums (a meta-museum), where users can browse over 15,000 pieces of art and 2,650 artists. These are the museums included until now: Museo Bellas Artes de Bilbao, Museo Reina Sofía, Museo del Prado, Museo Sorolla, Museo de la Fundación Lázaro Galdiano, Museo del Greco and Museo de la Biblioteca Nacional (Museum of the National Spanish Library).

    Datasets used: Europeana (CER.ES collection), Dbpedia, Geonames and Didactalia (GNOSS)

    Mismuseos.net uses several datasets and sources of information:

    • Europeana dataset, specifically the data from the CER.ES collection (CER.ES is the Digital Network of Collections of Spanish Museums), and the online collections of public Spanish Museums. These two datasets were used in order to obtain the information about cultural goods (pieces of arts and museum information basically).
    • DBPedia, used to supplement the information about the author with and extract information on authors and museums location.
    • Geonames, in order to obtain the geolocation data of artists and museums, once we have obtained the names of the places from the primary source or from Dbpedia. This information will be exploited in the future to locate them in a map view.
    • Didactalia, an index of over 50,000 educational resources on gnoss.com, linked to provide users with related educational content.

    To sum up the process, the primary information has been enriched, cleaned and normalized when necessary, and uploaded to the project online space inside the gnoss.com platform, so that we can consume and exploit the data and present the end-user applications. We have prepared a general navigation through tabs that includes a homepage with content selection, a tab for the collection (pieces of art) and another one for artists. In the near future, we will also include a tab for museums. The previous entities (pieces of art, artists and museums) are represented on the platform with their specific ontologies thanks to the semantic CMS of GNOSS using standard vocabularies if available.

    Technology and main features:

    The solution has been developed on gnoss.com, a social and semantic platform with a deep focus on the generation of social knowledge ecosystems and end-user applications in a Linked Data environment. It includes faceted searches, recommendation systems and adapted contexts in education, university and enterprises. GNOSS could be conceived as a network of networks or a linked networks space oriented to using semantic technologies for data and service integration. Moreover, it has a wide range of configurable social tools, which have been mostly deactivated in the case of Mismuseos.net.

    • Semantic Content Management System (SemCMS): semantic forms engine

    GNOSS expresses user-generated content as structured data with default basic semantic standard vocabularies. This is done automatically when a user shares content on the platform. Besides, GNOSS has an engine for developing specific ontologies to represent knowledge objects, and, as a consequence, specific search engines if necessary. The semCMS allows uploading an OWL file describing the concepts and relations within a particular knowledge domain, and it generates a semantic form with all the classes and properties represented in the OWL file. This is the case of MisMuseos.net, which has ontologies with particular vocabularies for artworks, artists and museums. So, all the information is available in RDF files.

    • Faceted searches

    Mismuseos.net has a powerful faceted search engine that is generated by its semantic graphs (RDF triplets); the search engine exploits that graphs through reasoned or inference-based searches. It provides specific configurable facets for each item type. For instance, in the case of pieces of art, users can search by facets such as collection type (sculpture, drawing, painting, etc.), museum, key words, author, time period, art techniques, etc.

    By selecting a search option, it allows you to filter the results in consecutive searchers, and therefore restrict the results to a manageable number of entries. It offers summarization of the results, so that users can better understand how the results relate to all search facets. The values are recalculated for every set of results in aggregated searches. Also, one can only filter by those options where there results, avoiding incoherent search options.

    • Contexts or related information: enriched content in Mismuseos.net

    In Mismuseos.net, we have set several contexts depending on the object or entity that the user is viewing, which offer dynamically generated content:

    1. Contexts for the entity ‘piece of art’: related works by the same artist and artworks within the same particular time period (internal), artist information (internal); related educational resources of Didactalia (external, on gnoss.com).

    2. Contexts for the entity ‘artist’: artworks of the artist (internal), contemporary artists (internal), related paper toys and educational resources of Didactalia (external).

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    Publicado el 2.8.2012 por Equipo GNOSS

    The Semantic Web & the Evolution of Search (iCrossing)

    Allyson James elabora este artículo de análisis sobre la evolución de las búsquedas en relación con la web semántica. Muestra los casos de Google Knowledge Graph y Schema.org.

    El artículo resulta interesante en el plano comercial. Muestra proyectos comerciales que utilizan la semántica en sus búsquedas. Es el caso de Volkswagen en el Reino Unido.

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    Publicado el 30.7.2012 por Ricardo Alonso Maturana

    Taxonomy, Metadata, & Search: A Different View (Semantic Web)

    Tom Johnson has written an article sharing Seth Earley’s insights regarding taxonomy, metadata, and search. At a recent workshop, “Seth outlined a three-prong approach to information management: (1) Develop a taxonomy. (2) Apply the taxonomy to your content. (3) Leverage the taxonomy to view your content in different ways.” According to Johnson, “Taxonomy is one of those vague words whose meaning seems a bit slippery, but Seth was adamant that taxonomy is not navigation, though it affects navigation. By taxonomy, we’re referring to ‘a system for organizing concepts and categorizing content.’ A taxonomy is your metadata, ‘arranged in a tree-like structure, with top level categories that branch out to reveal subcategories and terms in varying levels of depth.’ The taxonomy ‘expresses hierarchical relationships (parent/child)’.” continued… New Career Opportunities Daily: The best jobs in media.

    Publicado en semanticweb.com el: 7/24/2012 3:00:35 PM

    Puedes ver los comentarios originales aqui

     

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    Publicado el 2.7.2012 por Equipo GNOSS

    Watson: exploring the semantic Web

    Watson es un buscador de ontologías online y datos semánticos. Desempeña tres funciones principales:

     1 - recoge contenido semántico disponible en la Web,

     2 - analiza el contenido para extraer metadatos útiles e  índices, y

     3 - implementa consultas eficientes para acceder a los datos.

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    Publicado el 25.6.2012 por Equipo GNOSS

    Health Search and the Semantic Web

    Los motores de búsqueda hoy en día dependen en gran medida en las palabras clave. Sin embargo,  con las búsquedas relacionadas con la salud, el contexto o significado son de gran importancia.

    Con frecuencia, los resultados de estas búsqueda relacionadas con salud son incompletas, inexactas o incorrectas. De hecho, aunque hay una gran cantidad de información de salud en internet, existe también una cantidad igual o mayor de desinformación. Muchos buscadores relacionados con salud se han acostumbrado a revisar varias veces los criterios de búsqueda y buscar de nuevo hasta que encuentran las palabras clave adecuadas que devuelvan la información deseada. En este caso, los solicitantes de información se enfrentan a determinar qué fuentes de información son fiables.

    En este artículo se muestra como una manera de enfrentar este problema es descartar el enfoque tradicional de motor de búsqueda basado en palabras clave y usar la tecnología de Web Semántica.

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