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Facilitating Web Science Collaboration through Semantic Markup

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This is the slide presentation that accompanies the paper "Dominic DiFranzo, John S. Erickson, Marie Joan Kristine T. Gloria, Joanne S. Luciano, Deborah McGuinness, & James Hendler, The Web …

This is the slide presentation that accompanies the paper "Dominic DiFranzo, John S. Erickson, Marie Joan Kristine T. Gloria, Joanne S. Luciano, Deborah McGuinness, & James Hendler, The Web Observatory Extension: Facilitating Web Science Collaboration through Semantic Markup, Proc WWW 2014 (Web Science Track), Seoul, Korea, 4/2014." It describes an extension to schema.org that can be used in sharing Web-related datasets for collaborative scientific work.

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  • For those who may be just joining us, the topic of today’s Telcon is Health Web Science. We just heard a presentation from our collaborators in Scotland and now we’ll be telling you about
    our activities at Rensselaer.

    First some perspective: We live in an era of data proliferation – more instruments are capturing data, more entities are publishing data, often making the data discoverable and widely available. Along with the data explosion, more tools and strategies are emerging for finding, using, and making sense of this next generation of widely available, massively growing datasets.

    Note that when we say widely available, what we generally mean is available on the Web. Our talk today will focus on our Health Web Observatory. As some of you may know, the Web Science Trust, a global not for profit institution established the Web Observatory. The Web Observatory is intended to be a global data resource for the advancement of economic & social prosperity.  

    In this contribution, we will take one of current use cases – environmentally motivated water research – and use this scenario to describe some current challenges in data interoperability and often unanticipated usage issues in the evolving data ecosystems. We will also discuss some emerging semantic strategies for data usage in broad and diverse settings and then discuss evolving trends. KEYWORDS: [1920] INFORMATICS / Emerging informatics technologies, [1946] INFORMATICS / Metadata, [1970] INFORMATICS / Semantic web and semantic integration, [1958] INFORMATICS / Ontologies.
  • Examples from each of these observatories:

    1. Science Data Observatory:
    A. SemantEco
    B. SemantAqua
  • Transcript

    • 1. The Web Observatory Extension: Facilitating Web Science Collaboration through Semantic Markup Dominic DiFranzo, John S. Erickson, Marie Joan Kristine T. Gloria, Joanne S. Luciano, Deborah McGuinness, James Hendler The Tetherless World Constellation & Institute for Data Exploration and Applications Rensselaer Polytechnic Institute, Troy, NY
    • 2. Introduction 6 • Web Science involves using and producing large amounts of heterogeneous data about and from the web • As we (Web Science researchers) strive to collaborate and work together, we must find ways to share, link and reuse each other’s data and tools. • To do this, we are striving to build “Web Observatories” – a common infrastructure for enhancing this sharing, and to extend it to also include tools, research project results(papers & experiments), etc. Tiropanis, T., Hall, W., Shadbolt, N., DeRoure, D., Contractor, N. and Hendler, J., The Web Science Observatory, IEEE Intelligent Systems, March/April, 2013.
    • 3. Web Observatory Concept WO Portal Engaging communities with analytics Publication of catalogues (schema.org) Access with/without credentials Searching and Indexing Distributed Queries Plugged in Datastores and App Servers Harvesting Dataset enrichment/curation Dataset management Provenance Optimisation WO Datastores Hosting of analytic apps Hosting of visualisation apps Monitoring dependency on datasets Monitoring dependency on tools Explicit links between tools & datasets used WO Apps WO Portal WO AppsWO Datastores WO Portal WO AppsWO Datastores Links to resources in other Web Observatories Thanassis Tiropanis – University of Southampton
    • 4. RPI Observatory Themes Science Data Observatory Health & Life Sciences Observatory Open Government Observatory Social Spaces Observatory Example: Indian Election Twitter Dataset Example: Deep Carbon Obs. Datasets Example: Cancer Treatment Datasets Example: Int’l Open Govt Metadata
    • 5. Data use (Social Spaces) 6
    • 6. Data use (Open Govt Data) 6
    • 7. Problem: putting these together across laboratories (and fields) 6
    • 8. Schema.org 6 • An initiative launched by the leading search engine providers to create and support a common set of schemas for structured data markup on Web pages. • These vocabularies enable the metadata to be more machine readable, allowing for better search, discover and display this information
    • 9. Example RDFA Lite 6 <div http://schema.org/ > <h1 >Avatar</h1> <span>Director: <span ">James Cameron</span> </span> <span >Science fiction</span> <a href="../movies/avatar-theatrical-trailer.html" >Trailer</a> </div>
    • 10. Schema.org in action 6
    • 11. Schema.org in action 6 http://datasets.schema-labs.appspot.com/
    • 12. Goals 6 • Describe Web Observatories • Interconnect Web Observatories • Facilitate discovery of tools, datasets, and projects for researchers
    • 13. Overview 6 Web Observatory Project Dataset Tool
    • 14. Without Schema.org: Search
    • 15. 6 Web Observatory Project Dataset Tool Web Observatory Project Dataset Tool Web Observatory Project Dataset Tool Search With Schema.org:
    • 16. Schema.org vocabulary extension Web Observatory Class
    • 17. Schema.org vocabulary extension Web Observatory Project
    • 18. Schema.org vocabulary extension Web Observatory Dataset
    • 19. Schema.org vocabulary extension Web Observatory Tool
    • 20. Schema.org vocabulary demo
    • 21. Schema.org vocabulary demo Social Spaces WO WO Project: Cosmic WO Project: First Responde r
    • 22. Schema.org vocabulary demo Health/Life Science WO WO Project: Mobile Health WO Project: Health Data Challeng e WO Dataset: Health Data Challenge
    • 23. Conclusions Science Data Observatory Social Spaces Observatory • Integrating data on the Web, in general, is growing • Schema.org is a data embedding model showing great success • Schema.org/Dataset became official April 2013 • Search Engine tools are increasingly making used of embedded markup • Web Observatory extension aimed at use in (Web) scientific community • Also being used by AGU and DCO scientific
    • 24. Future Work Science Data Observatory Social Spaces Observatory • Further extend the vocabulary to fit more web observatories • Subcommunities can extend terminologies • Build better tools to use and embed schema.org vocabulary into web observatories • Integrate into “telescope” toolbox • Build tools to make use of schema.org WO metadata (search engines, crawlers, etc) • Google Domain Search underway