File:Wikimedia Research Showcase - June 2017.webm

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Original file ‎(WebM audio/video file, VP8/Vorbis, length 1 h 8 min 0 s, 1,920 × 1,080 pixels, 563 kbps overall, file size: 273.9 MB)

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Wikimedia Research Showcase - June 2017 (https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase)

  • Allen Yilun Lin: Problematizing and Addressing the Article-as-Concept Assumption in Wikipedia

Abstract: Wikipedia-based studies and systems frequently assume that each article describes a separate concept. However, in this paper, we show that this article-as-concept assumption is problematic due to editors’ tendency to split articles into parent articles and sub-articles when articles get too long for readers (e.g. “United States” and “American literature” in the English Wikipedia). In this paper, we present evidence that this issue can have significant impacts on Wikipedia-based studies and systems and introduce the subarticle matching problem. The goal of the sub-article matching problem is to automatically connect sub-articles to parent articles to help Wikipedia-based studies and systems retrieve complete information about a concept. We then describe the first system to address the sub-article matching problem. We show that, using a diverse feature set and standard machine learning techniques, our system can achieve good performance on most of our ground truth datasets, significantly outperforming baseline approaches. Related CSCW 2017 paper: (preprint, citation), Open-source code

  • Markus Kroetzsch: Understanding Wikidata Queries
Abstract: Wikimedia provides a public service that lets anyone answer complex questions over the sum of all knowledge stored in Wikidata. These questions are expressed in the query language SPARQL and range from the most simple fact retrievals ("What is the birthday of Douglas Adams?") to complex analytical queries ("Average lifespan of people by occupation"). The talk presents ongoing efforts to analyse the server logs of the millions of queries that are answered each month. It is an important but difficult challenge to draw meaningful conclusions from this dataset. One might hope to learn relevant information about the usage of the service and Wikidata in general, but at the same time one has to be careful not to be misled by the data. Indeed, the dataset turned out to be highly heterogeneous and unpredictable, with strongly varying usage patterns that make it difficult to draw conclusions about "normal" usage. The talk will give a status report, present preliminary results, and discuss possible next steps. (Project page on meta)
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Source YouTube: Wikimedia Research Showcase - June 2017 – View/save archived versions on archive.org and archive.today
Author Wikimedia Foundation

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This file, which was originally posted to YouTube: Wikimedia Research Showcase - June 2017 – View/save archived versions on archive.org and archive.today, was reviewed on 1 July 2017 by reviewer Dyolf77, who confirmed that it was available there under the stated license on that date.

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Date/TimeThumbnailDimensionsUserComment
current04:41, 27 June 20171 h 8 min 0 s, 1,920 × 1,080 (273.9 MB)Atlasowa (talk | contribs)Imported media from https://www.youtube.com/watch?v=i2jpKRwPT-Q

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Format Bitrate Download Status Encode time
VP9 1080P 523 kbps Completed 04:54, 28 October 2018 1 h 29 min 22 s
Streaming 1080p (VP9) Not ready Unknown status
VP9 720P 316 kbps Completed 05:06, 28 October 2018 1 h 41 min 50 s
Streaming 720p (VP9) Not ready Unknown status
VP9 480P 213 kbps Completed 04:14, 28 October 2018 50 min 28 s
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VP9 360P 159 kbps Completed 03:57, 28 October 2018 33 min 39 s
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VP9 240P 130 kbps Completed 03:56, 28 October 2018 32 min 19 s
Streaming 240p (VP9) 45 kbps Completed 07:10, 6 December 2023 3.0 s
WebM 360P 517 kbps Completed 05:35, 27 June 2017 54 min 13 s
Streaming 144p (MJPEG) 1 Mbps Completed 15:42, 19 November 2023 4 min 31 s
Stereo (Opus) 82 kbps Completed 12:39, 24 November 2023 55 s
Stereo (MP3) 128 kbps Completed 15:39, 19 November 2023 1 min 19 s

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