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Deepcarbon.net Xiaogang Ma, Patrick West, John Erickson, Stephan Zednik, Yu Chen, Han Wang, Hao Zhong, Peter Fox Tetherless World Constellation Rensselaer.

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Presentation on theme: "Deepcarbon.net Xiaogang Ma, Patrick West, John Erickson, Stephan Zednik, Yu Chen, Han Wang, Hao Zhong, Peter Fox Tetherless World Constellation Rensselaer."— Presentation transcript:

1 deepcarbon.net Xiaogang Ma, Patrick West, John Erickson, Stephan Zednik, Yu Chen, Han Wang, Hao Zhong, Peter Fox Tetherless World Constellation Rensselaer Polytechnic Institute From data portal to knowledge portal: Leveraging semantic technologies to support interdisciplinary studies

2 Outline Deep Carbon Observatory Deep Carbon Virtual Observatory (DCvO) –Architecture of DCvO –DCO Ontologies –Boundary activities –Discovering information by clicking through Summary 2

3 A 10-year (2009-2019) initiative to intensify global attention and scientific effort in the burgeoning field of deep carbon science 3

4 Faculty, staff and students from the Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) Responsible for –DCO Architecture and technology infrastructure –DCO Computer Cluster –The Deep Carbon Virtual Observatory DCvO Deep Carbon Observatory – Data Science 4 4

5 Deep Carbon Virtual Observatory 5 Scientists – actually ANYONE - should be able to access a global, distributed knowledge base of scientific data and information that: appears to be integrated appears to be locally available is in a language (written, programming, or science) that is understandable and can be shared Data intensive – volume, complexity, mode, scale, heterogeneity, … in an OPEN WORLD 5

6 Deep Carbon Virtual Observatory A vision of the DCvO: –A conceptual model of the interplay between data, people, publication, instruments, models, organizations, etc. –Identify, annotate and link all key entities, agents and activities –A repository for datasets and associated metadata –Unique and powerful data and metadata visualization for dissemination of information –Facilitates the discovery of potential collaborations –An integrated portal for diverse content and applications (Fox et al., 2014) 6

7 DCvO “Architecture” 7

8 vivo.cornell.edu VIVO - represents academic research communities DCO ontology: a model for concept types and relationships DCO ontologies extend each other and the VIVO ontology 8

9 Ontologies and schemas used in the DCO web portal 9 NamePrefix Dublin Core Metadata Element Setdc DCMI Metadata Termsdct VIVO Corevivo VIVO Scientific Research Ontologyscires Data Catalog Vocabularydcat Bibliographic Ontologybibo Citation Counting and Context Characterization Ontologyc4o Citation Typing Ontologycito FRBR-Aligned Bibliographic Ontologyfabio Event Ontologyevent Friend of a Friendfoaf vCard Ontologyvcard Geopolitical Ontologygeo Simple Knowledge Organization Systemskos DCO Ontologydco PROV Ontologyprov

10 Ontologies and schemas used in the DCO web portal 10 DCO Boundary Activities are driving the extensions within the DCO Ontologies

11 DCO Extension for Project Updates 11

12 12 Dynamically generated list of Grants that are part of the Deep Carbon Observatory. Users can click through to learn more, and members can create reports to be sent to funding orgs

13 13 Grant page lists all projects and reporting updates for each of the projects and field studies

14 DCO Extension for Data Types 14

15 15 A Few Boundary Activities Given a DOI pull publication information from CrossRef and/or Web of Science DCO IGSN Allocation Agent to work with the IGSN Registry Integration with existing data portals and repositories Data Rescue activities

16 Modern informatics enables a new scale-free framework approach Use cases Stakeholders Modeling Ontologies Evaluation 16

17 What does a DCO data publication look like? 17

18 18 Identification and annotation Information on the landing page of a dataset

19 19 Linking to enable forward and backward tracking Landing page of Helium Concept

20 20 Landing page of a person Linking to build Collaborations

21 21 Landing page of a research area Linking to build Collaborations

22 22 DCO Knowledge Graph Analytics

23 Thus… progress… Integrative – semantics Transparent – semantics Collaborative – semantics Application integration –Yep – semantics 23

24 Thank you! 24 Patrick West, westp@rpi.edu, https://deepcarbon.net, http://tw.rpi.eduwestp@rpi.eduhttps://deepcarbon.nethttp://tw.rpi.edu

25 25 An integrated portal: deepcarbon.net

26 26 Faceted publication browser

27 Repository for archiving datasets Archived datasets of ‘Noble gas isotope abundances in terrestrial fluids’ 27

28 Collaboration tools Group Based Collaboration Group data deposit and reporting Listings of group content Group management and messaging 28

29 29 RDA DTR and PIT adoption The DTR primitives are comparable to a list of BASIC DATA TYPE CLASSES in the DCO ontology, e.g. Dataset, Image, Video, Audio, etc. A registered DCO dataset is asserted as an instance of one of those basic data type classes. It is possible to further annotate the dataset with the SPECIFIC DATA TYPES defined within a DTR, and each data type has a unique PID. A Few Boundary Activities

30 Results of data type specification Updates to the DCO Ontology: –A new class dco:DataType. Each specific data type is an instance of it –An object property dco:hasDataType linking a dataset and a data type –A collection of other classes and properties associated with dco:DataType 30

31 31 New datasets available via dataset browser Includes citations to the originating publication Data files accessible through dataset repository Thermodynamic Data Rescue

32 32 DCO Knowledge Store Analytics

33 33 DCO Knowledge Store Visualizations

34 All information is linked and traceable! 34

35 Mediation From: C. Borgman, 2008, NSF Cyberlearning Report, Illustration by Roy Pea and Jillian C. Wallis 6 th Generation All these generations of mediation are in effect as we collaborate 35


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