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    Publicado el 29.10.2015 por Ricardo Alonso Maturana

    Choosing Between Graph Databases and RDF Engines for Consuming and Mining Linked Data (Universidad Simon Bolívar, Caracas, Venezuela)

    Abstract.

    Graphs naturally represent Linked Data and implementations of graph-based tasks are required not only for data consumption, but also for mining patterns among links. Despite efficient graph-based algorithms and engines have been implemented, there is no clear understanding of how these solutions may behave on Linked Data

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    Publicado el 29.10.2015 por Ricardo Alonso Maturana

    What is the difference between triplestores and graph databases? - Stack Overflow

    There are triplestores (semantic databases), and there are general-purpose graph databases.

    Both are based on the similar concepts of linking one "item" to another via a relationship. Triplestores support RDF and are queried by SPARQL, but such add-ons can be (and are) implemented ontop of general-purpose graph databases as well.

    What is the fundamental difference that would make you prefer a semantic db / triplestore to a general purpose graph database like neo4j?

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    Publicado el 29.10.2015 por Ricardo Alonso Maturana

    What are the differences between a Graph database and a Triple store? (by Matt Allen in Quora)

    Graph Databases vs. RDF Triple Stores
    To summarize, both graph databases and triple stores are designed to store linked data. RDF is a specific kind of linked data that is queried using SPARQL, so it is fair to say that RDF triple stores are a kind of graph database. But, there are some subtle but important differences that are described below.
    How They Are Similar
    ·       Graph databases and rdf triple stores focus on the relationships between the data, often referred to as “linked data.” Data points are called nodes, and the relationship between one data point and another is called an edge.
    ·       A web of nodes and edges can be put together into interesting visualizations—a defining characteristic of graph databases.
    How They Are Different
    ·       Graph databases are more versatile with query languages:  Neo4J can run an RDF triple store and use SPARQL but generally focuses on its own proprietary language, Cypher. Other graph databases support G, GraphLog, GOOD, SoSQL, BiQL, SNQL, and more. RDF triple stores only use SPARQL as the query language.
    ·       Graph databases can store various types of graphs, including undirected graphs, weighted graphs, hypergraphs, etc. RDF triple stores focus solely on storing rows of RDF triples.
    ·       Graph databases are node, or property, centric whereas RDF triple stores are edge-centric. RDF triple stores are really just a list of graph edges, many of which are 'properties'  of a node and not critical to the graph structure itself.
    ·       Graph databases are better optimized for graph traversals (degrees of separation or shortest path algorithms). With RDF triple stores, the cost of traversing an edge tends to be logarithmic.
    ·       RDF triple stores also provide inferences on data but graph databases do not (e.g., if humans are a subclass of mammals and man is a subclass of humans, then it can be inferred that man is a subclass of mammals).
    ·       RDF triple stores are more synonymous with the “semantic web” and the standardized universe of knowledge being stored as RDF triples on DBpedia and other sources whereas graph databases are seen as more pragmatic rather than academic.

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    Publicado el 18.5.2012 por Equipo GNOSS

    Experiences with the conversion of SenseLab databases to RDF/OWL

    Uno de los desafíos que enfrenta la Web Semántica para el Cuidado de la Salud y Ciencias de la Vida es el de la conversión de bases de datos relacionales en formato de Web Semántica. Los problemas y los pasos implicados en tal conversión no han sido bien documentados. Este documento describe las experiencias en el proceso de convertir las bases de datos relacionales SenseLab, una colección de bases de datos relacionales (Oracle) para la investigación neurocientífica, en OWL. La conversión de estas bases de datos en formato RDF / OWL es un paso importante hacia la consecución de los beneficios de la Web Semántica en la investigación de la neurociencia integrativa. Este documento describe cómo representamos a algunas de las bases de datos SenseLab en el Resource Description Framework (RDF) y Web Ontology Language (OWL), y se discuten las ventajas y desventajas de estas representaciones.

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    Publicado el 24.2.2012 por Equipo GNOSS

    Semantic Web related validators

    Esta página pretende recoger

    • cuál es la situación actual con los validadores relacionados con la Web semántica
    • lo que puede ser añadido con una cantidad razonable de trabajo

    Además, presenta una lista de validadores para diferentes estándares incluyendo

    • RDFa
    • RDF
    • OWL
    • (X)HTML
    • Validadores para vocabularios estandar como GoodRelations o SKOS

     

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    Publicado el 26.7.2010 por Equipo GNOSS

    Freebase, RDF and the Semantic Web

    A presentation to the San Francisco Semantic Web Meet-up (5/14/09) describing Freebase and its connection to RDF, Linked Data and the Semantic Web. (ppt de Jamie Taylor en SlideShare)

    RDF es un componente clave para la funcionalidad de la Web Semántica . Cada tema en Freebase está disponible en formato RDF, de forma que forma parte de la nube de Linked Open Data .

    El RDF de Freebase es un servicio en nivel beta , por lo que su estabilidad no está garantizada. Fuente:http://wiki.freebase.com

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    Publicado el 21.4.2010 por Ricardo Alonso Maturana

    Wiki of the E-Business and Web Science Research Group: GoodRelations vocabulary data

    Public Wiki of the E-Business and Web Science Research Group

    This is the public wiki of the E-Business and Web Science Research Group at Bundeswehr University Munich.

    El E-Business and Web Science Research Group ha desarrollado un Vocabulario RDF para comercio electrónico que puede convertirse en un estandar el sector. 

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    Publicado el 27.1.2010 por Equipo GNOSS

    Semantic Web Standards Wiki

    W3C cuenta con un nuevo sitio Wiki, llamado "Semantic Web Standards Wiki" (SWSWiki). No es su objetivo superponerse a otras comunidades Wiki como Semanticweb.org o WLED Wiki;sino proporcionar un punto de partida para tener más información sobre las tecnologías de la Web Semántica, en particular sobre los Estándares de la Web Semántica del W3C.

    A new public wiki site has been set up at W3C, nicknamed “Semantic Web Standards Wiki” or SWSWiki. It is not the goal of this wiki to supersede other community wikis like Semanticweb.org or OWLED Wiki; instead it is to provide a “first stop” for more information on Semantic Web technologies, in particular on Semantic Web Standards published by the W3C. Communities around such standards are also welcome to use the Wiki for their purpose; as an example, and thanks to Antoine Isaac, the SKOS community has already begun creating its own specific pages. Essentially, the role of this Wiki is to be an alternative (and, at some point in the future, maybe a replacement) to the ESW Wiki at W3C, but concentrating on Semantic Web only and using Semantic Media Wiki as an underlying technology.

    In addition to the classic “Web of documents” W3C is helping to build a technology stack to support a “Web of data”, the sort of data you find in databases. The ultimate goal of the Web of data is to enable computers to do more useful work and to develop systems that can support trusted interactions over the network. The term “Semantic Web” refers to W3C’s vision of the Web of linked data. Semantic Web technologies enable people to create data stores on the Web, build vocabularies, and write rules for handling data. Linked data are empowered by technologies such as RDF, SPARQL, OWL, and SKOS.

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    Compartido el 3.1.2010 por Equipo GNOSS

    Web Ontology Language OWL / W3C Semantic Web es un espacio sobre el lenguaje de ontologías web y la web semántica donde, entre otros contenidos, especificaciones,artículos y publicaciones,proyectos y aplicaciones, ontologías.

    También te informa de los próximos acontecimientos/tendencias en este ámbito: desarrollo avanzado de la Web Semántica, SemWeb IG, OWL FAQ, RDF

    "OWL is a Web Ontology language.  Where earlier languages have been used to develop tools and ontologies for specific user communities (particularly in the sciences and in company-specific e-commerce applications), they were not defined to be compatible with the architecture of the World Wide Web in general, and the Semantic Web in particular.

    "OWL es un lenguaje de Ontologías Web. Los primeros lenguajes se utilizaron para desarrollar herramientas y ontologías para comunidades específicas de usuarios (en particular en las ciencias y en específico de la empresas, para aplicaciones de comercio electrónico), pero no se definieron para ser compatibles con la arquitectura de la World Wide Web en general, y la Web Semántica en particular.

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    Compartido el 6.11.2009 por Ricardo Alonso Maturana

    Rhizomik

    tipo de documento Página Web

    La iniciativa Rhizomik es un proyecto está liderada por el grupo de investigación  GRIHO (Human-Computer Interaction and data integration), fundado por el profesor Jesús Lorès. El grupo orienta su trabajo a la mejora de la experiencia de las personas en el uso de la tecnología, esto es, en su interacción con las computadores y los sistemas. En este marco ha desarrollado un trabajo de investigación consistente en el marco de la web semántico. Rhizomik expresa el conjunto de proyectos que de manera concreta expresan ese trabajo.

    Ellos dicen de sí mismos:


    "The Rhizomik initiative is inspired by the rhizome metaphor when working with knowledge from a scientific, technological but also philosophical point of view.

    This metaphor has accompanied us in our research about knowledge in many different fields, fundamentally Semantic Web, Human-Computer Interaction, Web Science, Complex Systems and Cognitive Science.

    It has been materialised in the following projects:

    • Rhizomer: a tool to build Semantic Web-powered sites like this one
    • ReDeFer: a set of tools to move data in an out of the Semantic Web...
      • From RDF to HTML or SVG
      • From XML and XML Schemas to RDF and OWL ontologies respectively
    • Ontologies
      • Copyright: an ontology formalising the copyright core concepts
      • Multimedia: an ontology for the whole MPEG-7
      • E-Business: ontologies for some standards like XBRL, ebXML or BPEL-WS
      • News: ontologies for IPTC and MPEG-21 Digital Items
    • Semantic DRM System: a prototype of a copyright management system based on the Copyright Ontology
    • Living Semantic Web: an study of the Semantic Web as a complex system that shows that behaves like some living systems".

     

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