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Agro-Know seminar in NCSR-D summer school 2012

Transcript of ‌etworking content repositories to provide meaningful services to users

  • 1. networking content repositories to provide meaningful servicesto users experiences from the agricultural &biodiversity domainsNikos Manouselis, Giannis StoitsisAgro-Know Technologieshttp://wiki.agroknow.gr

2. networking content repositories Opening Up Digital to provide meaningful servicesCollections to (real?)to users experiences from the agricultural &Usersbiodiversity domainsNikos Manouselis, Giannis StoitsisAgro-Know Technologieshttp://wiki.agroknow.gr 3. our team 16 people on a full-time basis ~10 more on a part-time basis 50% PhD holders (1 candidate) 50% MSc holders (2 candidate) Computer Engineers, Agronomists,Information Scientists, FinancialEngineers, other 4. our team 16 people on a full-time basis ~10 more on a part-time basis 50% PhD holders (1 candidate) 50% MSc holders (2 candidate) Computer Engineers, Agronomists,Information Scientists, FinancialEngineers, other 5. what we do research-oriented small enterprise (SME) knowledge-intensive technology innovationfor agriculture and rural development systems and services for agriculturalknowledge organization and delivery deployment and testing in education & training, commerce, publicadministration settings 6. data & information we work with 7. often distributed, unorganised stats gene banks GIS data blogs journals open archives raw data learning objects 8. at the end, its still like this 9. two case studies agricultural research & innovationdomain experience from agINFRA biodiversity & natural historyeducation experience from Natural Europe 10. We will promote research for food and agriculture, including research to adapt to, and mitigate climate change, and access to research results and technologies at national, regional and international levels.We will reinvigorate national research systems and will share information and best practices.We will improve access to knowledge.Heads of State and Government, World Summit on Food Security, Rome,November 2009 11. key issuesa) aggregating datab) finding relevant knowledgec) providing more storage & computing power 12. stats gene banks gis data blogs, journals open archives raw datainformation technologiesofficer view learning objects .. 13. stats gene banks gis data blogs, journalsorganic open archiveseducator raw data view technologies learning objects .. 14. stats gene banks gis data blogs, journalshydroponic open archives farmer view raw data technologies learning objects .. 15. stats gene banks gis data blogs, journals open archives raw data technologies learning objects .. 16. content base 17. content base 18. isolated access through portals 19. simplified version of problem interfaces to search/browse through metadatadescriptions of agricultural learning resources backend: periodical harvesting of metadata fromvarious providers through OAI-PMH protocol/targets, as well ashuman-facilitated ingestion/import different metadata schemas/specs combined indexing metadata element values to use for facetedsearch/browse 23 20. example: educational contentBut whats behindthis 21. metadata aggregation infrastructureMore than a harvester: Validation Service Repository Software Registry Service Harvester Powered by25 22. a validation service Tool to provide automatic validation of metadata instances againstpredefined application profiles, e.g. IEEE LOM Combines different sorts of validation techniques: XSD Schema is used for structural validation of xml metadata Schematron Rules are used for checking elements,e.g. checking the presence of empty attribute fieldshttp://ariadne.cs.kuleuven.be/validationService/ 26 23. a metadata repository service Management of metadata records in an open andscalable architecture Open Standards & Specifications support SQI , SPI, OAI-PMH, RSS Metadata schema support IEEE LTSC LOM (by default) Any schema with an XML binding Indexing with open source Apache Luceneframework Open source license27 24. a collection registry service A catalogue service: Manages up-to-date information on metadata providers Supports open standards & specifications (IEEE LOM, SQI , SPI, OAI-PMH, RSS,) Facilitates interconnection of numerous providers (Automatic discovery of new repositories)28 25. a harvester service Incremental, scheduled harvesting Supports SPI specification for publishing metadata into:i. a specified component of the ARIADNE storage layer,ii. any other repository that has an SPI target on top of itsrepositoryIntegrated with other services in the infrastructure:1. Validation Service292. Registry Service 26. exposing metadata to front-end30 27. towards a common workflowHarvesting ValidatingTransforming OAI target - XMLs StoringIndexingXMLsAutomatic De - duplicationmetadata Triplification servicegeneration 28. content growth 29. semantic evolution 30. next challenges 31. 1. Social Research Networking Connecting peers & visualising socialnetworks, connecting researchers withpublications, recommending relevant research Mendeley (www.mendeley.com), ResearchGate (http://www.researchgate.net), Academia.edu (http://academia.edu), ArnetMiner (http://arnetminer.org), Social research components in popular CMSs(JomSocial, Drupals Buddylist, Elgg) Social research components in institutional CMSs(VIVO, openAGRIS, ) 32. connect peers/publications (+APIs)http://dev.mendeley.com/ 33. extending social CMS componentshttp://voa3r.cc.uah.es 34. extend institutional CMS & serviceshttp://agris.fao.org/openagris/search.do?recordID=JP2010001379 35. 2. Enriched research objects Complex, linked research objects executable scientific workflows, e.g. MyExperiment (http://www.myexperiment.org), Kepler (https://kepler- project.org) data sets e.g. PLoS (http://www.plos.org), FigShare (http://figshare.com) processing web services e.g. BioCatalogue (http://www.biocatalogue.org) Scientist generated classifications/taxonomies e.g. Scratchpads (http://scratchpads.eu) thematic networks/catalogues e.g. TELeurope (http://www.teleurope.eu), VOA3R (http://voa3r.cc.uah.es) 36. composite/networked researchhttp://education.natural-europe.eu/green/exhibits/show/grape-cultivars/to-begin-with 37. 3. End-user interfaces and access Facilitating and monitoring usage and access Visualising social bookmarks (Klerx & Duval) TinyArm (http://atinyarm.appspot.com) MACE (http://portal.mace-project.eu) and maeveinteractive installation at Venice Biennale(http://vimeo.com/1738770) 38. research visualisations & analytics 39. interactive navigation interfaces 40. biodiversity used to supporteducation 41. this is NOT an educational resource 42. alt: this is NOT a learning object 43. but may become one 44. how could museums andcultural centers connect their digital collectionswith their educationalactivities? 45. 1. need to go to the users cannot bring them wherewe assume that they are 46. probably not here... 47. ...but here 48. 2. find their practices and mimic in the tools tomake it easier for them toconnect/integrate 49. teachers think activities 50. lets help them create/find 51. (formal) inquiry-based educationalpathwaysSchool communityPre-structured PathwayPatternFrom Teachers &Museum Educators 52. and non-formal pathwaysLifelong LearnersOpen Pathway Pattern From Museum Educators 53. in the museum.across themuseums 54. open to the educational communityhttp://education.natural-europe.eu/natural_europe/ 55. Ing Field trip to the Exposes legacy data e stApostolisand photos to Manolis Caribbean in 2006MULTIMEDIAAUTHORINGTOOL ManolisateField trip to a lakeKournas in Cretet noProvide raw dataAn Iasmiand photos to ManolisManolis Data collection 56. I have to ingestand enrich!Manolis Ingests the data & content &enriches metadataMULTIMEDIAAUTHORINGTOOLUploads content & providesmetadata from scratch I have to upload and annotate! Multimedia ContentMultimedia AuthoringUploaderManolis Environment 57. ApostolisData are published on ARIADNE Harvesterthe Natural EuropeFederationDimitrisData are published onCatherinathe Natural EuropeFederation I want to teach my pupils aboutIn NHMC we researchwater pollutionenvironmental issueslike water pollution IasmiManolis 58. Dimitris Pathway Editor Pathway Template Editor Learning Models PATHWAY AUTHORING TOOLCollections ofEducational & Cultural Resources 59. CatherinaPathway accessibleTeachersthrough NHM website Visitors Dimitris FamiliesPATHWAYAUTHORINGTOOLPathway accessible Europeanathrough ARIADNEObjects findable through pathways in museums web site 60. families EDUCATIONALpupilsTOOLSteachersMETADATA INFRASTRUCTURECOLLECTIONeducatorsTOOLS curators 61. CHO Authoring & Annotation CHO Harvesting ESE OutputCultural MaterialSearch serviceESE-CHO Application Profile 62. Organising/managing digitalcollections 63. Pathway Authoring &AnnotationARIADNE ValidationService IEEE LOM Application ProfilePathway Template73Authoring Specs & Prototype 64. next challenges 65. 1. Enhancing existing educational activities Introduce concept of educational pathwaysover collections & exhibitions throughmuseum web sites (http://education.natural-europe.eu) for more museum visitors Cross-collection pathways for pan-Europeanthemes/topics of interest e.g. World War I, Theory of Evolution 66. content for teacher activities 67. parents dont (?) think activities 68. content for family activities 69. 2. New technology services Mobile, smartphone & tablet apps connecteddynamically with digital collections/EuropeanaAPI Enriching technology platforms & tools usedto develop educational applications aroundcultural collections/exhibitions educational platforms such as LearningManagement Systems (e.g. Blackboard), CourseManagement Systems (e.g. Moodle) cultural platforms such as virtual exhibition tools(e.g. Omeka) 70. mobile apps enhancementhttp://www.museums2go.comhttp://cs.welle