Life Before Web 2

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Life Before Web 2.0

Life Before Web 2.0

Life Before Web 2.0

The amount of structured data that is published on the Web has increased sharply over the last years. The deluge of available data calls for new search techniques which support users in finding and integrating data from large numbers of data sources. In his talk, Christian Bizer will give an overview of the different types of data search that have been proposed so far: Entity search, table search, constraint and unconstraint search joins. As an example of a system from the last category, he will introduce the Mannheim Search Join Engine which provides for executing unconstraint search joins over different types of Web data including Linked Data, Microdata, Web tables and Wikipedia tables.

Data Search and Search Joins (Universität Heidelberg 2015)

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DBpedia - An Interlinking Hub in the Web of Data

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http://iswc2016.semanticweb.org/pages/program/keynote-bizer.html Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of their content. In the talk, I will contrast the original vision of the Semantic Web with empirical findings about the adoption of Semantic Web technologies on the Web. The analysis will show areas in which data providers behave as envisioned by the Semantic Web community but will also reveal areas in which real-world adoption patterns strongly deviate. Afterwards, I will discuss the challenges that result from the current adoption situation. To address these challenges, I will exemplify entity reconciliation, vocabulary matching, and data quality assessment techniques which exploit all semantic clues that are provided while being tolerant to noise and lazy data providers.

Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...

Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...

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Slides from the presentation of the following paper: Max Schmachtenberg, Christian Bizer, Heiko Paulheim: Adoption of the Linked Data Best Practices in Different Topical Domains. 13th International Semantic Web Conference (ISWC2014) - RDB Track, pp. 245-260, Riva del Garda, Italy, October 2014. Paper URL: http://dws.informatik.uni-mannheim.de/fileadmin/lehrstuehle/ki/pub/SchmachtenbergBizerPaulheim-AdoptionOfLinkedDataBestPractices.pdf Abstract: The central idea of Linked Data is that data publishers support applications in discovering and integrating data by complying to a set of best practices in the areas of linking, vocabulary usage, and metadata provision. In 2011, the State of the LOD Cloud report analyzed the adoption of these best practices by linked datasets within different topical domains. The report was based on information that was provided by the dataset publishers themselves via the datahub.io Linked Data catalog. In this paper, we revisit and update the findings of the 2011 State of the LOD Cloud report based on a crawl of the Web of Linked Data conducted in April 2014. We analyze how the adoption of the different best practices has changed and present an overview of the linkage relationships between datasets in the form of an updated LOD cloud diagram, this time not based on information from dataset providers, but on data that can actually be retrieved by a Linked Data crawler. Among others, we find that the number of linked datasets has approximately doubled between 2011 and 2014, that there is increased agreement on common vocabularies for describing certain types of entities, and that provenance and license metadata is still rarely provided by the data sources.

Adoption of the Linked Data Best Practices in Different Topical Domains

Adoption of the Linked Data Best Practices in Different Topical Domains

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Keynote talk at the 18th International Conference on Business Information Systems, 24-26 June 2015, Poznań, Poland URL: http://bis.kie.ue.poznan.pl/bis2015/keynote-speakers/ Abstract: Motivated by Google, Yahoo!, Microsoft, and Facebook, hundreds of thousands of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, and Microformats. In parallel, the adoption of Linked Data technologies by government agencies, libraries, and scientific institutions has risen considerably. In his talk, Christian Bizer will give an overview of the content profile of the resulting Web of Data. He will showcase applications that exploit the Web of Data and will discuss the challenges of integrating and cleansing data from thousands of independent Web data sources.

Evolving the Web into a Global Dataspace – Advances and Applications

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The talk will discuss the concept of Search Joins. A Search Join is a join operation which extends a local table with additional attributes based on the large corpus of structured data that is published on the Web in various formats. The challenge for Search Joins is to decide which Web tables to join with the local table in order to deliver high-quality results. Search joins are useful in various application scenarios. They allow for example a local table about cities to be extended with an attribute containing the average temperature of each city for manual inspection. They also allow tables to be extended with large sets of additional attributes as a basis for data mining, for instance to identify factors that might explain why the inhabitants of one city claim to be happier than the inhabitants of another. In the talk, Christian Bizer will draw a theoretical framework for Search Joins and will highlight how recent developments in the context of Linked Data, RDFa and Microdata publishing, public data repositories as well as crowd-sourcing integration knowledge contribute to the feasibility of Search Joins in an increasing number of topical domains.

Search Joins with the Web - ICDT2014 Invited Lecture

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Graph Structure in the Web - Revisited. WWW2014 Web Science Track

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Slide dari FB Sore gw di thinkweb

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Slide dari FB Sore gw di thinkweb

Life Before Web 2.0

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Data Search and Search Joins (Universität Heidelberg 2015)

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Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...

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Search Joins with the Web - ICDT2014 Invited Lecture

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Life Before Web 2

1. Life before web 2.0 at Holland

2. Life with web 2.0 at Holland

3. Life 2.0 at Holland