XML, Seman9c Web and Content Analy9cs
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1 XML, Seman9c Web and Content Analy9cs XML Prague Pre- conference 2014 Felix Sasaki DFKI / W3C Fellow 1
2 What do you need to follow this session? Ideal: a computer with internet access, to be able to provide feedback At least: curiosity 2
3 What is LIDER? htp:// project.eu/ Project funding this session Aim: bring people like you together with Linked data experts Language technology people 3
4 What is Content Analy9cs? A set of technologies to make sense of data Quite broad like usage scenarios Sen9ment analysis Business intelligence Intelligent web search... 4
5 What is Content Analy9cs? Some basic technologies Named en9ty recogni9on Welcome to Prague! (=city) Rela9on extrac9on Prague is the capital of Czech Republic 5
6 Demo Dbpedia spotlight Basic named en9ty recogni9on Data extracted from wikipedia Available as a RESTful service: htp://9nyurl.com/dbspotlight- demo Deployed in oxygen automa9c annota9on implementa9on; see oxygen users session and htp:// 6
7 Issues with content analy9cs Tooling is language specific Most support of course for English Task: Get content analy9cs for your language! Content = not only text! E.g. more and more mul9media content Signal analysis has its limits Find my all movies with a kiss scene at the end! : Won t work L Again textual metadata (e.g. sub9tles, closed cap9ons) may help 7
8 WHY AM I TELLING YOU ABOUT CONTENT ANALYTICS? 8
9 Vision: beter content analy9cs via structured data! More and more structured data on the Web Textual data with addi9onal informa9on (markup, metadata) Huge knowledge bases Wikipedia / DBpedia is just an example Also: Wikidata, Freebase, BabelNet,... Not necessarily created with content analy9cs in mind you just need to bring things together 9
10 What is XML? Details can be skipped here... From the point of view of content analy9cs: A way to store (semi) structured data A way to store annota9ons of content that may link to structured data <span... its- ta- class- ref="htp://nerd.eurecom.fr/ontology#loca9on" its- ta- ident- ref="htp://dbpedia.org/resource/prague"> Prague</span> 10
11 XML aware content analy9cs Content analy9cs algorithms process pure text Knowledge about XML structures improves content analy9cs quality <para>mr. Obama<footnote><para>Barack Obama is...</para></footnote> came to Prague yesterday.</ para> Without the knowledge a content analy9cs tool sees : Mr. ObamaBarack Obama is... came to Prague yesterday. 11
12 XML aware content analy9cs Need: process different parts of XML content differently Headings: Osen not sentences in the linguis9c sense Footnotes: embedded in text (see last slide) Non textual content: XML data base structures cons9tute a mix of structured (non)textual + semi structured data XML knowledge & tooling could lead to new content analy9cs approaches 12
13 WHAT IS SEMANTIC WEB? SHORT INTRODUCTION 13
14 Building blocks of the Web <p>all content on this site is licensed under <a href="htp://crea9vecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 14
15 Content <p>all content on this site is licensed under <a href="htp://crea9vecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 15
16 Links (or iden9fiers ) <p>all content on this site is licensed under <a href="h?p://creacvecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 16
17 Easy: Find all content that links to htp://crea9vecommons.org/licenses/by/3.0/ <p>all content on this site is licensed under <a href="h?p://creacvecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 17
18 S9ll difficult: Find all content that links to a crea9ve commons license? <p>all content on this site is licensed under <a href="h?p://creacvecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 18
19 Seman9c Web to the rescue = Providing machine readable informa9on on the Web? <p>all content on this site is licensed under <a property="h?p://creacvecommons.org/ns#license" href="htp://crea9vecommons.org/licenses/by/3.0/"> a Crea9ve Commons License</a>. </p> 19
20 Seman9c Web = Providing machine readable informa9on on the Web Web of documents Web of data 20
21 What is Seman9c Web - summary A set of technologies to work with interlinked data: 1) represent; 2) model; 3) store; 4) process. 1) RDF; 2) RDF Schema, OWL; 3) Turtle / RDFa /...; 4) SPARQL. Also (but not cri9cal here): a means to infer new informa9on from data X is father of Y - > Y is child of X 21
22 INTERACTIVE PART 22
23 Aim of this session Gather your thoughts on the rela9on between XML, Seman9c Web and content analy9cs Together: go through a LIDER survey & find out: What are your use cases for content analy9cs? htp://9nyurl.com/co- an- survey That may be related to XML or not Also: gather feedback in free text form: please join me at htp://9nyurl.com/ca- gdocs 23
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