Matches in Ruben’s data for { ?s ?p ?o }
- distinguishing-between-frank-and-nancy datepublished "2014-11-30T11:30:00+01:00".
- distinguishing-between-frank-and-nancy image gender_thumb.jpg.
- distinguishing-between-frank-and-nancy image gender_long.jpg.
- distinguishing-between-frank-and-nancy url distinguishing-between-frank-and-nancy.
- distinguishing-between-frank-and-nancy concretelyExpresses gender_thumb.jpg.
- distinguishing-between-frank-and-nancy concretelyExpresses gender_long.jpg.
- thank-you-for-your-attention author me.
- thank-you-for-your-attention publisher me.
- thank-you-for-your-attention creator me.
- thank-you-for-your-attention about Communication.
- thank-you-for-your-attention author me.
- thank-you-for-your-attention publisher me.
- thank-you-for-your-attention coparticipatesWith me.
- thank-you-for-your-attention type SocialMediaPosting.
- thank-you-for-your-attention type BlogPosting.
- thank-you-for-your-attention type Article.
- thank-you-for-your-attention type Document.
- thank-you-for-your-attention type WebPage.
- thank-you-for-your-attention type Document.
- thank-you-for-your-attention type Document.
- thank-you-for-your-attention type Q386724.
- thank-you-for-your-attention type CreativeWork.
- thank-you-for-your-attention type Work.
- thank-you-for-your-attention P50 me.
- thank-you-for-your-attention maker me.
- thank-you-for-your-attention description "An audience shouldn’t do you a favor by listening—do them a favor by explaining ◆ Talks at academic conferences seldom feature a high knowledge per minute ratio. Speakers often talk for themselves, unwittingly spawning facts that are not directly useful to their audience…".
- thank-you-for-your-attention image "https://ruben.verborgh.org/images/blog/boring.jpg".
- thank-you-for-your-attention title "Thank you for your attention".
- thank-you-for-your-attention type "article".
- thank-you-for-your-attention url "https://ruben.verborgh.org/blog/2014/12/31/thank-you-for-your-attention/".
- thank-you-for-your-attention title "Thank you for your attention".
- thank-you-for-your-attention inDataset dataset.
- thank-you-for-your-attention headline "Thank you for your attention".
- thank-you-for-your-attention isPartOf site.
- thank-you-for-your-attention name "Thank you for your attention".
- thank-you-for-your-attention label "Thank you for your attention".
- thank-you-for-your-attention name "Thank you for your attention".
- thank-you-for-your-attention topic Communication.
- thank-you-for-your-attention author "https://ruben.verborgh.org/profile/#me".
- thank-you-for-your-attention published_time "2014-12-31T17:30:00+01:00".
- thank-you-for-your-attention subject Communication.
- thank-you-for-your-attention topic Communication.
- thank-you-for-your-attention abstract "Talks at academic conferences seldom feature a high knowledge per minute ratio. Speakers often talk for themselves, unwittingly spawning facts that are not directly useful to their audience. For me, the most symptomatic aspect is the obligatory “thank you for your attention” at the end of a talk. Think about what you’re saying. Was your talk so bad that people had to do you an actual favor by paying attention? We’ve got this whole thing backwards. You are one of the people the audience paid for to see. They should be thanking you for doing a great job—provided of course, that you really do the best you can to help them understand.".
- thank-you-for-your-attention alternativeHeadline "An audience shouldn’t do you a favor by listening—do them a favor by explaining.".
- thank-you-for-your-attention datePublished "2014-12-31T17:30:00+01:00".
- thank-you-for-your-attention twitter:card "summary".
- thank-you-for-your-attention twitter:creator "@RubenVerborgh".
- thank-you-for-your-attention twitter:site "@RubenVerborgh".
- thank-you-for-your-attention picture boring_thumb.jpg.
- thank-you-for-your-attention picture boring_long.jpg.
- thank-you-for-your-attention datepublished "2014-12-31T17:30:00+01:00".
- thank-you-for-your-attention image boring_thumb.jpg.
- thank-you-for-your-attention image boring_long.jpg.
- thank-you-for-your-attention url thank-you-for-your-attention.
- thank-you-for-your-attention concretelyExpresses boring_thumb.jpg.
- thank-you-for-your-attention concretelyExpresses boring_long.jpg.
- 600000-queryable-datasets-and-counting author me.
- 600000-queryable-datasets-and-counting publisher me.
- 600000-queryable-datasets-and-counting creator me.
- 600000-queryable-datasets-and-counting about Linked_Data.
- 600000-queryable-datasets-and-counting about Semantic_Web.
- 600000-queryable-datasets-and-counting author me.
- 600000-queryable-datasets-and-counting publisher me.
- 600000-queryable-datasets-and-counting coparticipatesWith me.
- 600000-queryable-datasets-and-counting type SocialMediaPosting.
- 600000-queryable-datasets-and-counting type BlogPosting.
- 600000-queryable-datasets-and-counting type Article.
- 600000-queryable-datasets-and-counting type Document.
- 600000-queryable-datasets-and-counting type WebPage.
- 600000-queryable-datasets-and-counting type Document.
- 600000-queryable-datasets-and-counting type Document.
- 600000-queryable-datasets-and-counting type Q386724.
- 600000-queryable-datasets-and-counting type CreativeWork.
- 600000-queryable-datasets-and-counting type Work.
- 600000-queryable-datasets-and-counting P50 me.
- 600000-queryable-datasets-and-counting maker me.
- 600000-queryable-datasets-and-counting description "The LOD Laundromat and Triple Pattern Fragments offer scalable Web querying ◆ What good is a Web full of Linked Data if we cannot reliably query it? Whether we like to admit it or not, queryable data is currently the Semantic Web’s Achilles’ heel…".
- 600000-queryable-datasets-and-counting image "https://ruben.verborgh.org/images/blog/laundromat.jpg".
- 600000-queryable-datasets-and-counting title "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting type "article".
- 600000-queryable-datasets-and-counting url "https://ruben.verborgh.org/blog/2015/01/30/600000-queryable-datasets-and-counting/".
- 600000-queryable-datasets-and-counting title "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting inDataset dataset.
- 600000-queryable-datasets-and-counting headline "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting isPartOf site.
- 600000-queryable-datasets-and-counting name "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting label "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting name "600,000 queryable datasets—and counting".
- 600000-queryable-datasets-and-counting topic Linked_Data.
- 600000-queryable-datasets-and-counting topic Semantic_Web.
- 600000-queryable-datasets-and-counting author "https://ruben.verborgh.org/profile/#me".
- 600000-queryable-datasets-and-counting published_time "2015-01-30T15:30:00+01:00".
- 600000-queryable-datasets-and-counting subject Linked_Data.
- 600000-queryable-datasets-and-counting subject Semantic_Web.
- 600000-queryable-datasets-and-counting topic Linked_Data.
- 600000-queryable-datasets-and-counting topic Semantic_Web.
- 600000-queryable-datasets-and-counting abstract "What good is a Web full of Linked Data if we cannot reliably query it? Whether we like to admit it or not, queryable data is currently the Semantic Web’s Achilles’ heel. The Linked Data cloud contains several high-quality datasets with a total of billions of triples, yet most of that data is only available in downloadable form. Frankly, this doesn’t make any sense on the Web. After all, would you first download Wikipedia in its entirety just to read a single article? Probably not! We combined the power of the LOD Laundromat, a large-scale data cleansing apparatus, with the low-cost Triple Pattern Fragments interface so you can once and for all query the Web.".
- 600000-queryable-datasets-and-counting alternativeHeadline "The LOD Laundromat and Triple Pattern Fragments offer scalable Web querying.".
- 600000-queryable-datasets-and-counting datePublished "2015-01-30T15:30:00+01:00".
- 600000-queryable-datasets-and-counting twitter:card "summary".
