1 / 31

CLODA: A C rowdsourced L inked O pen D ata A rchitecture

Georgios Larkou, Julia Metochi Georgios Chatzimilioudis and Demetrios Zeinalipour-Yazti Data Management Systems Laboratory Department of Computer Science University of Cyprus http://dmsl.cs.ucy.ac.cy/. CLODA: A C rowdsourced L inked O pen D ata A rchitecture.

krita
Télécharger la présentation

CLODA: A C rowdsourced L inked O pen D ata A rchitecture

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Georgios Larkou, Julia Metochi Georgios Chatzimilioudis and Demetrios Zeinalipour-Yazti Data Management Systems Laboratory Department of Computer Science University of Cyprus http://dmsl.cs.ucy.ac.cy/ CLODA: A Crowdsourced Linked Open Data Architecture First IEEE Intl. Workshop on Mobile Data Management, Mining and Computing on Social Networks (MobiSocial), co-located with IEEE MDM'13, June 3, 2013, Milan, Italy.

  2. Crowdsourcing Definitions • Crowdsourcing = Crowd + Outsourcing • Jeff Howe (2006). "The Rise of Crowdsourcing". Wired. • Definition from Wikipedia: • "Crowdsourcing refers to a distributed problem-solving model in which a crowd of undefined size is engaged in the task of solving a complex problem through an open call" “Crowdsourcing with Smartphones”, GeorgiosChatzimiloudis, Andreas Konstantinidis, Christos Laoudias, Demetrios Zeinalipour-Yazti, IEEE Internet Computing, Special Issue: Sep/Oct 2012 - Crowdsourcing, May 2012. IEEE Press, Volume 16, Pages: 36-44, 2012.

  3. Crowdsourcing StakeHolders Open Call (Task) Solutions Requester (Crowdsourcer) Rewards Workers (Solvers) Platform

  4. Crowdsourcing Incentives • Tangible (Monetary) Incentives • Cash, Credit or Gifts (MTurk, Kickstarter) • Unintended or as-a-by-product (reCaptchas) • Ethical Incentives • Socialize & Fun • Earn Prestige • Altruism • Learn something New • Usually a combination of several incentives

  5. CLODA Motivation Collect & Link Open and Close Data with smartphones through an open call for ethical benefit b Closed Data: Web 2.0 APIs (Google, Twitter, Facebook) CLODA Prototype c Linked Open Data (LOD) (Freebase, DBPedia) Sensor / Geo Data a Collect Reward Verification d CLODA (LOD)

  6. Linked Open Data (LOD) • Linked data refers to web accessible data(HTTP/URI addressable) that is structured (RDF) to allow computerlink and query (SPARQL) the data [ aka 4 principles ] • Conceived by Tim Berners-Lee and realized by the Semantic Web Community. • Tim Berners-Lee (2006). "Linked Data—Design Issues". W3C. • Linked Open Datasets (LOD): • DBPedia (3.6M things describing Wikipedia) • GeoNames (describing 7.5M Geographic features) • YAGO & YAGO2 (combining Wikipedia, GeoNames and others) • Freebase (39M things - Google's LOD project!) • FOAF (describing People – Relationships –Open Social Net!)

  7. Traditional LOD (RDF) • DBPedia Example: LOD describing 3.64M Wikipedia things out of which 1.83M are classified in a consistent ontology • 416,000 persons, 526,000 places, 106,000 music albums, 60,000 films, 17,500 video games, 169,000 organizations, 183,000 species and 5,400 diseases Infobox example

  8. LOD the Google (JSON) Way! • Freebase Example: another LOD by Google. Instances Relationships

  9. LOD is Interlinked & Annotated LOD is interlinked, e.g., Freebase points to Dbpedia predicates … http://dbpedia.org/page/Manchester

  10. LOD is Highly Interlinked! http://www.stateofsearch.com/search-in-the-knowledge-graph-era/

  11. LOD can be Queried! LOD can be queried!, e.g., Freebase with MQL Queries (JSON encoded like Web2.0 APIs) Resembles Xpath Querying MQL Queries

  12. CLODA Motivation Collect & Link Open and Close Data with smartphones through an open call for ethical benefit Closed Data: Web 2.0 APIs (Google, Twitter, Facebook) CLODA Prototype Linked Open Data (LOD) (Freebase, DBPedia) Sensor / Geo Data Collect Reward Verification CLODA LOD

  13. Web1.0: The Unstructured Web http://books.google.com/ (content in HTML only apprehensible to User)

  14. Web2.0: The Structured but Closed Web https://www.googleapis.com/books/v1/volumes?q=databases content in XML/JSON apprehensible to Computer This web is closed: Requires Keys to access (OAUTH) and has download quotas

  15. Web2.0: The Structured but Closed Web In fact, Web2.0 Services are omnipresent! (Google, Twitter, Facebook, Youtube, Linkedin, …) http://www.programmableweb.com/- 7800 APIs!!! + 6800 Mashups! quota https://code.google.com/apis

  16. CLODA Motivation Collect & Link Open and Close Data with smartphones through an open call for ethical benefit Closed Data: Web 2.0 APIs (Google, Twitter, Facebook) CLODA Prototype Linked Open Data (LOD) (Freebase, DBPedia) Sensor / Geo Data Collect Reward Verification CLODA LOD

  17. CLODA: Indoor Localization • Numerous ways to localize without power-hungry GPS but most of the solutions rely on additional hardware (RFID, sensor networks, etc.) • Smartphones can nowadays localize off-the-shelf with onboard sensors and WiFi signal fingerprints (coined Hybrid Localization) • These solutions require that services acquire local data through Crowdsourcing (e.g., Google Indoor) • Building RadioMaps, MagnetometerMap, etc. • [Airplace] "The Airplace Indoor Positioning Platform for Android Smartphones", C. Laoudias et. al., Best Demo Award at IEEE MDM'12. • [HybridCywee] "Demo: the airplace indoor positioning platform", C.-L. Li, C. Laoudias, G. Larkou, Y.-K. Tsai, D. Zeinalipour-Yazti and C. G. Panayiotou, in ACM Mobisys'13. Video at: http://youtu.be/DyvQLSuI00I • Wifislam.com (bought recently by Apple for 20M)

  18. CLODA: Scanning Items Preview LOD LOD Scan & Link

  19. CLODA: Scanning Items

  20. CLODA: Indoor Localization Founded on prior work Airplace and Anyplace (Navigate) seamlessly indoor or outdoor http://anyplace.cs.ucy.ac.cy/ Cywee / Airplace http://youtu.be/DyvQLSuI00I

  21. CLODA Motivation Collect & Link Open and Close Data with smartphones through an open call for ethical benefit Closed Data: Web 2.0 APIs (Google, Twitter, Facebook) CLODA Prototype Linked Open Data (LOD) (Freebase, DBPedia) Sensor / Geo Data Collect Reward Verification CLODA LOD

  22. NoSQL DataStore: CouchDB Document in CouchDB Map Function function(doc) { for (i in doc.authors) { author = doc.authors[i]; emit(doc._id, author); } } Results (through REST/HTTP or Futon)

  23. NoSQL DataStore: CouchDB Export JSON Data to RDF with Sessel (CouchApp that generates RDF triples from CouchDB documents)

  24. CLODA Motivation Collect & Link Open and Close Data with smartphones through an open call for ethical benefit Closed Data: Web 2.0 APIs (Google, Twitter, Facebook) CLODA Prototype Linked Open Data (LOD) (Freebase, DBPedia) Sensor / Geo Data Collect Reward Verification Last step essentially provided interlinking with existing LOD CLODA LOD

  25. CLODA on the LOD Graph! CLODA http://www.stateofsearch.com/search-in-the-knowledge-graph-era/

  26. CLODA Incentives • Incentives: • Ethical Benefit • Similar to people-centric sensing / wardriving • Enhance collaboration between users • Richer querying possibilities in the future. • Might be imposed by an Organization. • E.g., Inventory Management in a Hospital

  27. CLODA Quality Issues • Data Quality / Data Freshness • LOD data suffers from both of these aspects • Crowdsourcing offers Freshness but still lacks explicit Quality guarantees (repeat N times then majority vote) • Possible Solutions: Integrate Location-aware Techniques to validate data added and linked • Task of Identifying the neighbors of all users continuously with Proximity, see IEEE MDM'12. • Task of Identifying similarly moving users with SmartTrace, see IEEE TKDE, June, 2013.

  28. CLODA Testbed Issues • Currently, there are no testbeds (like motelab, planetlab) for realistically prototyping Smartphone Network applications and protocols at a large scale. • Currently applications are tested in emulators. • Sensors are not emulated.  • Reprogramming is difficult.  • SmartLab (http://smartlab.cs.ucy.ac.cy/) is a first-of-a-kind programmable cloud of 40+ smartphones deployed at our department enabling a new line of systems-oriented research on smartphones. "Crowdsourcing with Smartphones", Georgios Chatzimiloudis, Andreas Konstantinides, Christos Laoudias, Demetrios Zeinalipour-Yazti IEEE Internet Computing (IC '12), Special Issue: Sep/Oct 2012 - Crowdsourcing, May 2012. IEEE Press, 2012 "Demo: A Programming Cloud of Smartphones", A. Konstantinidis, C. Costa, G. Larkou and D. Zeinalipour-Yazti, "Demo at the 10th International Conference on Mobile Systems, Applications and Services" (Mobisys '12), Low Wood Bay, Lake District, UK, 2012.

  29. CLODA Testbed Issues SmartLab: Massive smartphone simulations with our first global open smartphone IaaS cloud – http://smartlab.cs.ucy.ac.cy/ Static Androids Mobile Androids • [SmartLab] "Demo: a programming cloud of smartphones", A. Konstantinidis, C. Costa, G. Larkou, D. Zeinalipour-Yazti, In ACM Mobisys '12. [ By our Group ]

  30. CLODA Testbed Issues http://smartlab.cs.ucy.ac.cy/

  31. Thanks! Questions? Georgios Larkou, Julia Metochi Georgios Chatzimilioudis and Demetrios Zeinalipour-Yazti http://dmsl.cs.ucy.ac.cy/ CLODA: A Crowdsourced Linked Open Data Architecture First IEEE Intl. Workshop on Mobile Data Management, Mining and Computing on Social Networks (MobiSocial), co-located with IEEE MDM'13, June 3, 2013, Milan, Italy.

More Related