Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Session 0.0 poster minutes madness

101 views

Published on

Talk at SEMANTiCS 2017
www.semantics.cc

Published in: Technology
  • Be the first to comment

Session 0.0 poster minutes madness

  1. 1. SEMANTiCS 2017, Amsterdam, The Netherlands, September 11-14, 2017 Towards a Semantic Outlier Detection Framework in Wireless Sensor Networks Iker Esnaola-Gonzalez
  2. 2. Is there a country that publishes formal key registers as linked data?
  3. 3. RDF store Rules Reasoner USER BEHAVIOUR Tailored messages Virtual Individual Model (VIM) A semantic approach to recognize behaviours in teenagers CNR-ITIA gianfranco.modoni@itia.cnr.it
  4. 4. VIM Connector (WS RESTFUL) Smart Objects Cloud (Amazon AWS) RDF Store (Stardog) … Security Authentic. Cloud services Integration services gianfranco.modoni@itia.cnr.it
  5. 5. TableQA: Question Answering on Tabular Data Svitlana Vakulenko and Vadim Savenkov
 WU Vienna – Institute for Information Business, Vienna, Austria
  6. 6. Ontology based Exploration of Linked Data SCIExplorer Hendrik ter Horst Semantic Computing Group @ CITEC Bielefeld University
  7. 7. SCIExplorer: Domain of Spinal Cord Injury Therapies OpenSource ● Ontology-based semi-automatic Generation of Exploration Interface ● Filter-driven Dynamic Generation of SPARQL Queries ● Answering Competency Questions https://github.com/ag-sc/SCIExplorer http://psink.techfak.uni-bielefeld.de/ SCIExplorer/ demo: src-code:
  8. 8. Semantic Health Notice Come and get the cure ! (free trial) http://www.irisa.fr/LIS/ferre/sparklis/ Sébastien Ferré ● Ground: SPARQL endpoints ● Patients: RDF-hungry people ● Symptoms: paralysis (can’t write!), syntax errors, schema mismatch, empty results ➔ FRUSTRATION and HUNGER ! ● Diagnostic: SPARQL queries are toxic to humans ● Treatment: use SparklisSparklis to avoid direct contact composition: natural language, full guidance, expressive power, compliance to standards (no empty-results) P&D 204 SPARKLIS
  9. 9. Semantic mining of respiratory health knowledge from scientific literature and clinical guidelines Sergio Consoli, Xiao Ming Zhou, Wei-Shun Bao, Declan P. Kelly, Vincent Lou Philips Research: [name.surname]@philips.com • Application of NLP, data mining, and advanced text analytics into advanced AI systems for semantically mining information from scientific literature and clinical guidelines to extract new knowledge on the respiratory health domain • Curated repository of selected medical documents into knowledge-base in respiratory health
  10. 10. • Goal  feeding and controlling connected respiratory health devices according the gathered knowledge and providing intuitive visualization interfaces for user understanding Scope 1: data bootstrap via scientific literatures to extract knowledge Scope 2: provide relevant feedback and insights from data Challenges • Repository of biomedical scientific literature – Large volume & Accessibility • Data Processing and Interpretation – Performance VS Speed • Knowledgebase – Data-linking of concepts and relationships to ensure both syntactic and semantic interoperability • Information Querying and Retrieval – ML & prediction models for deriving rules and facts, and providing feedbacks/insights/recommendations
  11. 11. Is Semantic Markup really helping websites improve traffic? Build Your Own Knowledge Graph and make your content easy to be found. WordLift team wordlift.io
  12. 12. Key Findings from our research 1. After 3 Months organic visits went up by 12.13% 2. Google is faster in bringing new users (+18.47% increased of sessions from Google only) 3. Enriched article compared to other pages performed 2.4 times better in terms of pageviews and sessions 4. Average time spent went up 17.3% for enriched articles 5. Average session duration improved by 13.75% Yes it does!
  13. 13. “Findability” is not simply SEO BEFORE and AFTER Get Your Free Demo! wordlift.io/welcome
  14. 14. Towards Open Data Mashups for Data Journalism Fajar J. Ekaputra, Niina Maarit Novak, Elmar Kiesling, Peb R. Aryan, Ba-Lam Do, Tuan-Dat Trinh, A Min Tjoa Linked Data Lab, Institute of Software Technology and Information Systems, TU Wien, Austria Prototype:Open Data Mashups for Data Journalism (ODMOJO):
  15. 15. PRESS: A Publication REpository Semantic System • PRESS is an open-source publication system that exploits semantic technologies, in order to cover the needs of both individuals and organizations • Fast data entry, user-based repository • Advanced query capabilities • Integration with other systems • Commercial: designed mainly for experts, not extensible • Existing open-source: difficulty in expressing complex queries, rely on rigid relational schemas FORTH, Institute of Computer Science VS. Other Approaches Ioannis Chrysakis, Emmanouil Dermitzakis, Giorgos Flouris, Theodore Patkos and Dimitris Plexousakis Learn more at stand #2
  16. 16. Vision and market gap • Motivation – Comments are becoming an integral part of the Web, and not only the Social Web – Yet, comment management is largely ad- hoc and inefficient • Grand vision: interconnect, search, store, retrieve, evaluate comments that exist on the Web Methinks Methinks Application • Advantages for consumers/end-users – Become well-informed in just a glance – Quickly identify non-standard information that can be found only in comments – Browse based on arguments, not on words • Advantages for analysts (admins) – A cheap way to integrate fancy, comment-related functionality in one’s web site – A measurable way to extract conclusions (analytics) in online discussions Contact: Giorgos Flouris (fgeo@ics.forth.gr)Learn more at stand #3
  17. 17. Information is archived in a way disregarding its meaning and context Retrieval systems search, analysis Retrieval systems visualization Information is archived in a way disregarding itsmeaning and context Retrievalsystems search, analysis Retrieval systems visualization options Problem & VIScover SolutionUncovering the Hidden in Large Knowledge Graphs 1 How to connect the dots in my Knowledge Graph? •  How to get meaningful insight? •  Which groups of objects connect to each other? •  How to build sophisticated queries without syntax? •  How about data integrity or anomalies? naive graph rendering fails SPARQL, cypher, etc. require data insight
  18. 18. Information is archived in a way disregarding its meaning and context Retrieval systems search, analysis Retrieval systems visualization Information is archived in a way disregarding itsmeaning and context Retrievalsystems search, analysis Retrieval systems visualization options Problem & VIScover SolutionSemSpect: Visualizing and Querying Knowledge Graphs 2 Poster & Wed. 10:45 http://panama.semspect.de
  19. 19. Michael Färber and Achim Rettinger, KIT: A Statistical Comparison of Current Knowledge Bases
  20. 20. Now: In a Crunch, so CrunchBase Michael Färber, Carsten Menne, Andreas Harth: “A Linked Data Wrapper for CrunchBase”
  21. 21. 1WIS Challenge: Form an Educated Opinion for Online Products Twilight (2008): 1545 reviews on IMDB.com, 3,053 reviews on Amazon.com. Which reviews to read? Example: Is the movie “Twilight” any good? Horrible Story, Horrible ActingGreat Story, Great Acting Sorted by Usefulness Grouped by Aspects VS. Proposed solution: Semantically group reviews to help users!
  22. 22. 2WIS • • • • • • • • • •
  23. 23. 1 ● Statement-level metadata allows to store fine-grained ○ traceability and provenance information ○ license and access rights, ○ data trustworthiness and confidence scores for every single fact in the knowledge graph ● Different MRMs have been proposed, varying in structure, performance benefits/disadvantages ● Hard to choose appropriate format beforehand MaSQue: An Approach for Flexible Metadata Storage and Querying in RDF Knowledge Integration and Linked Data Technologies (AKSW/KILT) at InfAI & Leipzig University Johannes Frey, Sebastian Hellmann Metadata Representation Models
  24. 24. MaSQue Abstraction layer 2 RDF Data Serialization SPARQL Queries Poster Wall 43
  25. 25. Network-based Knowledge Graph Assessment What is it about?  Real-world entities and their relations  Information retrieval  Effectiveness depends on quality 1Rörden, Revenko, Haslhofer, Blumauer: Network-based Knowledge Graph Assessment.
  26. 26. Network-based Knowledge Graph Assessment What is our approach?  Network metrics  Domain-specific corpus  Combine and compare! 2Rörden, Revenko, Haslhofer, Blumauer: Network-based Knowledge Graph Assessment.
  27. 27. ‹#› Het begint met een idee A STUDY OF INTENSIONAL CONCEPT DRIFT IN TRENDING DBPEDIA CONCEPTS Albert Meroño-Peñuela, Efstratios Kontopoulos, Sándor Darányi, Ioannis Kompatsiaris Causes? • Interaction between ordinary humans and systems • Ontology evolution patterns of use
  28. 28. ‹#› Het begint met een idee
  29. 29. Page 1Confidential Property of Schneider Electric | What happens to developers when you provide them with RDF and OWL Libraries?
  30. 30. A Model Driven Approach Accelerating Ontology-based IoT Application Development (Charbel El Kaed, André Ponnouradjane)
  31. 31. # Title Voc1 NERC Vocabulary Server v.20 Voc2 PROFIT thesaurus Voc3 DALICC Vocabulary Voc4 HISCO-RDF Voc5 LICR Voc6 EEPSA (Energy Efficiency Prediction Assistant) Ontology Voc7 The Linked Web APIs Ontology Voc8 Circular Exchange Ontology Voc9 Fintech Ecosystem Ontology Voc10 LinkedPolitics
  32. 32. Introduction DALICC stands for Data Licenses Clearance Center. The project‘s aim is to develop a software framework that significantly reduces the costs of license clearance in the creation of derivative (data) works. DALICC follows a deontic approach to express machine- readable permissions, prohibitions and duties defined in a license. DALICC utilizes the ODRL 2.0 ontology in combination with CCRel. Additionally DALICC utilizes an extended set of properties that are necessary to capture the full semantic spectrum of legal expressions defined in a license text. By doing so DALICC allows to represent property rights policies in a legally valid and machine-processable way. Partners: • UAS St. Pölten (Lead) – Tassilo Pellegrini, Andrea Schönhofer, Peter Judmaier, Stefanie Größbacher • Vienna University of Economics & Business – Simon Steyskal, Sabrina Kirrane, Axel Polleres • University of Innsbruck – Oleksandra Panasiuk, Anna Fensel • Höhne, In der Maur & Partner Rechtsanwälte OG – Markus Dörfler • Semantic Web Company GmbH – Thomas Thurner, Victor Mireles-Chavez, Kurt Moser Contact: www.dalicc.net Acknowledgment: DALICC is funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) under the program "ICT of the Future" between November 2016 - October 2018. More information https://iktderzukunft.at/en/ DALICC Vocabulary – REL Extension The DALICC vocabulary extensions evolved from an in depth analysis of 15 standard licenses (including CC, APACHE, BSD, GPL MIT) under the supervision of legal experts. The following expressions need to be added to cover the full semantic spectrum of copyright statements: PROPERTIES AFFECTING THE ASSET PROPERTIES AFFECTING THE LICENCE dalicc:charge dalicc:addStatement dalicc:sublicense dalicc:attributionNotice dalicc:promote dalicc:attachOffer dalicc:publish dalicc:chargeOffer dalicc:irrevocable dalicc:modificationNotice dalicc:noWarrantyNotice dalicc:patentFree dalicc:patentNotice dalicc:perpetual dalicc:royaltyFree dalicc:worldwide The examples illustrate the RDF/Turle syntax of BSD 3.0, CC-BY and APACHE using the DALICC properties (bold). Example 3: APACHE @prefix odrl:<http://www.w3.org/ns/odrl/2/> . @prefix : <https://dalicc.net/license-finder> . @prefix dalicc: <https://dalicc.poolparty.biz/DALICCVocabulary>. @prefix rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix cc:<http://creativecommons.org/ns#> . @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#> . :APACHE_2.0 a odrl:Policy; odrl:permission [ a odrl:Permission; odrl:target <http://purl.org/dc/dcmitype/Software>, <http://purl.org/dc/dcmitype/Sound>,<http://purl. org/dc/dcmitype/Text>,<http://purl.org/dc/dcmity pe/Image>,<http://purl.org/dc/dcmitype/MovingI mage>,<http://purl.org/dc/dcmitype/Dataset>; odrl:action odrl:present, odrl:display, odrl:derive; odrl:duty [ a odrl:Duty; odrl:action cc:Notice; ] ]; odrl:permission [ a odrl:Permission; odrl:target <http://purl.org/dc/dcmitype/Software>,<http://p url.org/dc/dcmitype/Sound>,<http://purl.org /dc/dcmitype/Text>,<http://purl.org/dc/dcmitype /Image>,<http://purl.org/dc/dcmitype/Movin gImage>,<http://purl.org/dc/dcmitype/Dataset>; odrl:action odrl:reproduce, odrl:distribute, dalicc:sublicense, dalicc:addStatement, dalicc:chargeOffer, dalicc:patentFree; odrl:duty [ a odrl:Duty; odrl:action dalicc:modificationNotice, cc:Notice, dalicc:patentNotice, dalicc:atributionNotice, dalicc:noWarrantyNotice, cc:ShareAlike, dalicc:perpetual, dalicc:royaltyFree, dalicc:irrevocable, dalicc:worldwide ] ]; odrl:prohibition [ a odrl:Prohibition; odrl:target <http://purl.org/dc/dcmitype/Software>,<http://p url.org/dc/dcmitype/Sound>,<http://purl.org/dc/d cmitype/Text>,<http://purl.org/dc/dcmitype/Image >,<http://purl.org/dc/dcmitype/MovingImage>, <http://purl.org/dc/dcmitype/Dataset>; odrl:action odrl:ensureExclusivity, dalicc:charge; ]. Example 1: BSD 3.0 @prefix odrl:<http://www.w3.org/ns/odrl/2/> . @prefix : <https://dalicc.net/license-finder> . @prefix dalicc: <https://dalicc.poolparty.biz/DALICCVocabulary>. @prefix rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix cc:<http://creativecommons.org/ns#> . @prefix dct: <http://purl.org/dc/terms/> . :licBSD-3-Clause a odrl:Policy; odrl:permission [ a odrl:Permission; odrl:target <http://purl.org/dc/dcmitype/Software>; odrl:action odrl:mofify, odrl:distribute, odrl:reproduce; odrl:duty [ a odrl:Duty; odrl:action cc:Notice, dalicc:nowarrantyNotice; ] ]; odrl:prohibition [ a odrl:Prohibition; odrl:target <http://purl.org/dc/dcmitype/Software>; odrl:action dalicc:promote ]; dct:title "The 3-Clause BSD License"@en ; dct:alternative "BSD-3-Clause"; dct:source <https://opensource.org/licenses/BSD-3-Clause>. Example 2: CC-BY @prefix odrl:<http://www.w3.org/ns/odrl/2/> . @prefix : <https://dalicc.net/license-finder> . @prefix dalicc: <https://dalicc.poolparty.biz/DALICCVocabulary>. @prefix rdf:<http://www.w3.org/1999/02/22-rdf-syntax-ns#> . @prefix cc:<http://creativecommons.org/ns#> . @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . :CC-BY_4.0 a odrl:Policy; odrl:permission [ a odrl:Permission; odrl:target <http://purl.org/dc/dcmitype/Dataset>,<http://purl.org/d c/dcmitype/Sound>,<http://purl.org/dc/dcmitype/Text>,< http://purl.org/dc/dcmitype/Image>,<http://purl.org/dc/ dcmitype/MovingImage>; odrl:action odrl:distribute, odrl:reproduce,odrl:extract, odrl:derive, odrl:present; odrl:duty [ a odrl:Duty; odrl:action cc:SourceCode, dalicc:royaltyFree, dalicc:irrevocable, dalicc:worldwide, cc:Notice, dalicc:noWarrantyNotice, dalicc:modificationNotice, cc:attributionName ] ]; odrl:prohibition [ a odrl:Prohibition; odrl:target <http://purl.org/dc/dcmitype/Dataset>,<http://purl.org/dc /dcmitype/Sound>,<http://purl.org/dc/dcmitype/Text>, <hattp://purl.org/dc/dcmitype/Image>,<http://purl.org/dc /dcmitype/MovingImage>; odrl:action odrl:ensureExclusivity, dalicc:sublicense ]; dct:title "Attribution 4.0 International"@en ; dct:alternative "CC BY 4.0"; dct:publisher "Creative Commons"; foaf:logo <http://i.creativecommons.org/l/by/4.0/88x31.png> ; dct:source <http://creativecommons.org/licenses/by/4.0/> ; cc:legalcode """https://creativecommons.org/licenses/by/4.0/legalcode"""@en. Future Work The DALICC Framework will consist of four components: • License Composer: Lets you create customized licenses • License Library: Lets you choose from a set of standard licenses • License Annotator: Provides you with a machine-readable and human-readable version of your license • License Negotiator: Checks compatibility, detects conflicts and supports conflict resolution Data Set N License N License {A … N} Derivative Work Data Set … License … Data Set B License B Data Set A License A License Composer License Annotator License Library DALICC Framework License Negotiator consults tags audits proposes • Compatibility • Conflict Detection • Conflict Resolution
  33. 33. ‹#› Het begint met een idee CEDAR: THE DUTCH HISTORICAL CENSUSES (1795-1971) AS LINKED OPEN DATA Albert Meroño-Peñuela, Ashkan Ashkpour, Christophe Guéret, Stefan Schlobach 1st historical census data as Linked Data RDF Data Cube with • 6.8M observations • Internal links: sex, marital status, occupation position, housing type, residence status • External links • Geographical: 2.7M • Occupations: 350K • Belief: 250K • Linked to HISCO, ICONCLASS, Dutch Ships and Sailors, DBpedia, gemeentegeschiedenis.nl, GeoNames • New variables and classifications • Housing type • Lower level of municipal areas (kom, wijk) • Residence status
  34. 34. ‹#› Het begint met een idee http://www.licr.io http://purl.org/licr/vocab Bottom-up codes from: • NAPP • IPUMS • HL7
  35. 35. ‹#› Het begint met een idee HISCO – Historical International Standard Classification of Occupations 9 major groups 1675 occupation classes Labels in 14 languages
  36. 36. SEMANTiCS 2017, Amsterdam, The Netherlands, September 11-14, 2017 The EEPSA Ontology The Energy Efficiency Prediction Semantic Assistant Ontology Iker Esnaola-Gonzalez https://w3id.org/eepsa
  37. 37. © IK4-TEKNIKER 2017 The EEPSA Ontology (https://w3id.org/eepsa)
  38. 38. From diverse and complex solutions... The Linked Web APIs Ontology - semantic Web API description model - ...to a unified solution. FOAF Hydra SADI WSMO SAWSDL OpenAPI apis.json The Linked Web APIs Ontology WADL WSDL “A lightweight model for description of information related to Web APIs, mashups, developers and API providers.” WADL MSM OWL-S HTML See: http://linked-web-apis.fit.cvut.cz/ns/core/
  39. 39. (Non-)Functional props: “what functionalities a Web API or mashup offers.” Provenance info: “Who created What and How” Temporal information: “the time a Web API or a mashup was created.” Technical props: “supported protocols, formats, endpoints, etc.” Over 11K Web APIs, 7K mashups and 7K developer profiles First and largest Linked Data dataset with semantic Web API descriptions! The Linked Web APIs Dataset - Web APIs meet Linked Data - More info at: http://linked-web-apis.fit.cvut.cz/
  40. 40. PRODUCT PASSPORT OF YOUR GARMENT Produced By: Mud Jeans Product ID: RM1600016 Production Step Produced By Production Date Composition Textiles Collected Mud Jeans 01-05-2016 Discarded Jeans 100% Recycled Fibers Recover 10-05-2016 Denim Recycled 100% Garment Produced Yousstex 15-09-2016 Denim Recycled 20%; Cotton 75% Activity Agent Product Linked Data Circular Economy Textile Use Case Elke Sauter & Martijn Witjes
  41. 41. creation product technological materials cotton elastane jeans recycling remanufacturing use (tool) PRODUCT PASSPORT reverseLogistics postUse Circular Exchange Ontology (CEO) Circular Materials & Activities Ontology (CAMO) copper activity output composting biological hasInputType hasInputType agent http://ld-ce.com
  42. 42. www.fintechecosystem.net Understanding the Fintech Ecosystem $17 Billion $4 Trillion of venture investment in Fintech in 2016 alone (Forbes & Pitchbook) in addressable revenue due to SocialisaGon of Finance (Goldman Sachs)
  43. 43. www.fintechecosystem.net FintechBrowser to Explore and Predict Ontology-driven discovery and linking of data
  44. 44. Talk of Europe Laura Hollink, Astrid van Aggelen, Jacco van Ossenbruggen The debates of the European Parliament as Linked Open Data* Centrum Wiskunde & Informatica (CWI) Amsterdam, The Netherlands Talk of Europe made by the ECLinks: Motivation: Access is crucial for EU residents to make informed votes and hold Members of Parliament accountable. Access is necessary for researchers in party position, ideology, issue selection, and emphasis. What? 1. scrape http://www.europarl.europa.eu/ 2. convert to RDF 3. enrich with links to external sources Why? Access is crucial for EU residents to make informed votes and hold Members of Parliament accountable. Access is necessary for researchers in party position, ideology, issue selection, and emphasis.
  45. 45. Example query: The number of speeches of each country per year. session session day dcterms:partOf item on the agenda partOf speech partOf ...This is indeed a homecoming...@en spoken text ...Dette er i høj grad en hjemkomst...@da translated text speaker speaker member of parliamentrdf:type political function president role 2002 beginningEuropean Parliament institution 2004 end political function substituterole 1989 beginning Committee on budgetary control institution 1992 end sub-properties of text design pattern: n-ary relation spokenAs redundant but convenient additional property foaf:name .... re-use of Dublin Core and FOAF vocabularies Vocabulary: Published as: Astrid van Aggelen, Laura Hollink, Max Kemman, Martijn Kleppe, Henri Beunders. The debates of the European Parliament as Linked Open Data. Semantic Web 8(2), IOS Press, 2017 Website: http://talkofeurope.eu/ SPARQL endpoint: http://purl.org/linkedpolitics/sparql/ Acknowledgements:

×