SWAN/SIOC: Aligning Scientific Discourse Representation and Social Semantics Alexandre Passant 1 , Paolo Ciccarese 2, 3 , ...
Motivation <ul><li>To provide a complete RDF-based model to model online activities and scientific argumentation in neurom...
How is this achieved? <ul><li>An alignment of ontologies was performed to provide a complete framework for modelling activ...
Collaborative websites are like data silos * Source: Pidgin Technologies, www.pidgintech.com
Many isolated communities of users and their data * Source: Pidgin Technologies, www.pidgintech.com
Need ways to connect these islands * Source: Pidgin Technologies, www.pidgintech.com
Allowing users to easily move from one to another * Source: Pidgin Technologies, www.pidgintech.com
Enabling users to easily bring their data with them * Source: Pidgin Technologies, www.pidgintech.com
Types of data silos (scientific and social) <ul><li>Collaborative websites used by scientific researchers in various domai...
SWAN (Semantic Web Applications in Neuromedicine) <ul><li>An ontology of scientific discourse (Ciccarese et al. 2008) </li...
What does SWAN consist of? <ul><li>A formal structure to record and present scientific discourse </li></ul><ul><li>Tools f...
Main concepts and relationships in the SWAN ontology
Modules in the SWAN ontology
A typical hypothesis
Contributions from leading researchers Key research topics Contribute content Inventory of ideas Mechanisms of disease
Scientist view Toxic protein fragments believed responsible for AD Key information, gaps and conflicts Computer view Knowl...
Browsing evidence and inconsistencies <ul><li>New experiment required? </li></ul>
A researcher-supported effort <ul><li>Dozens of etiopathological AD models annotated by SWAN curators in collaboration wit...
Semantically-Interlinked Online Communities (SIOC) <ul><li>An effort from DERI, NUI Galway to discover how we can create /...
 
The steps taken <ul><li>Develop an  ontology   of terms  for representing rich data from the Social Web </li></ul><ul><li>...
Some of the SIOC core ontology classes and properties
Some examples of where SIOC is already use (about 50 applications / modules)
Creating a Social Semantic Web of previously-disconnected social “data silos”
Also integrating scientific “data silos” in a semantic scientific collaboration framework <ul><li>Enabling researchers to:...
Mappings between SWAN and SIOC at http://rdfs.org/sioc/swan in OWL-DL
Mappings between SWAN and SIOC classes <ul><li>Subclasses of sioc:Item: </li></ul><ul><ul><li>swanscidis:DiscourseElement ...
Mappings between SWAN and SIOC properties <ul><li>Subtypes of sioc:related_to: </li></ul><ul><ul><li>swandisrel:agreesWith...
Mappings redundancy <ul><li>Redundant mappings: </li></ul><ul><ul><li>Can be entailed thanks to the transitivity of rdfs:s...
Querying mappings <ul><li>Simple query to identify relatedness between items: </li></ul><ul><ul><li>Applying a SIOC query ...
W3C HCLS Interest Group notes published <ul><li>http://www.w3.org/TR/hcls-sioc/ </li></ul><ul><li>http://www.w3.org/TR/hcl...
RDFa support in Drupal 7 for SSW data
Exposing scientific results to search <ul><li>Yahoo! Search Monkey and Google Rich Snippets </li></ul><ul><li>Highlights t...
Acknowledgements <ul><li>We would like to thank Science Foundation Ireland for their support under grant  SFI/08/CE/I1380 ...
Motivation <ul><li>To provide a complete RDF-based model to model online activities and scientific argumentation in neurom...
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SWAN/SIOC: Aligning Scientific Discourse Representation and Social Semantics

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Semantic Web Applications in Scientific Discourse Workshop at the International Semantic Web Conference / Washington, DC / 26th October 2009

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  • [Steve - another slide best shown in animation - I have broken it into two slides to make it more readable on printout.] As we said in the previous slide, SWAN’s content is specialized scientific content presented in a way scientists can use. &lt;click to get first animation - slide fades and scientist view is circled&gt;.
  • SWAN/SIOC: Aligning Scientific Discourse Representation and Social Semantics

    1. 1. SWAN/SIOC: Aligning Scientific Discourse Representation and Social Semantics Alexandre Passant 1 , Paolo Ciccarese 2, 3 , John G. Breslin 4 , Tim Clark 2, 3 1 DERI, NUI Galway, Ireland 2 Massachusetts General Hospital, Boston, USA 3 Harvard Medical School, Boston, USA 4 School of Engineering and Informatics, NUI Galway, Ireland
    2. 2. Motivation <ul><li>To provide a complete RDF-based model to model online activities and scientific argumentation in neuromedicine: </li></ul><ul><ul><li>Combining Web 2.0 shared knowledge using SIOC and formal scientific data (hypotheses, claims, dialogue, evidence, publications, etc.) via SWAN </li></ul></ul><ul><li>To make (both formal and informal) discourse concepts and relationships more accessible to computation: </li></ul><ul><ul><li>So that they can be better navigated, compared and understood both across and within domains </li></ul></ul>
    3. 3. How is this achieved? <ul><li>An alignment of ontologies was performed to provide a complete framework for modelling activities in scientific communities </li></ul><ul><li>SWAN objects were integrated into SIOC Types module </li></ul><ul><li>SWAN was reused to model argumentative discussions </li></ul><ul><li>External models such as SCOT and MOAT were reused for tagging </li></ul><ul><li>SCF is being updated so that it can create data according to this model </li></ul>
    4. 4. Collaborative websites are like data silos * Source: Pidgin Technologies, www.pidgintech.com
    5. 5. Many isolated communities of users and their data * Source: Pidgin Technologies, www.pidgintech.com
    6. 6. Need ways to connect these islands * Source: Pidgin Technologies, www.pidgintech.com
    7. 7. Allowing users to easily move from one to another * Source: Pidgin Technologies, www.pidgintech.com
    8. 8. Enabling users to easily bring their data with them * Source: Pidgin Technologies, www.pidgintech.com
    9. 9. Types of data silos (scientific and social) <ul><li>Collaborative websites used by scientific researchers in various domains: </li></ul><ul><ul><li>SWAN/SCF is being used to connect these </li></ul></ul><ul><li>Social websites used by people collaborating or communicating through the Web 2.0 platform: </li></ul><ul><ul><li>SIOC is being used to connect these </li></ul></ul><ul><li>SWAN/SIOC connects both sets of data silos together, not just structures but what is embedded within content as well </li></ul>
    10. 10. SWAN (Semantic Web Applications in Neuromedicine) <ul><li>An ontology of scientific discourse (Ciccarese et al. 2008) </li></ul><ul><li>A participatory knowledge base of hypotheses, claims, evidence and concepts in biomedicine, with the first instance in the domain of Alzheimer’s disease (AD) </li></ul><ul><li>Currently being integrated with the SCF (Science Collaboration Framework) toolkit for biomedical web communities </li></ul><ul><li>http://swan.mindinformatics.org/ </li></ul>
    11. 11. What does SWAN consist of? <ul><li>A formal structure to record and present scientific discourse </li></ul><ul><li>Tools for scientists to manage, access and share knowledge </li></ul><ul><li>Tools for discovering conflicts, gaps and missing evidence </li></ul><ul><li>An information bridge to promote collaboration </li></ul><ul><li>A community process built upon the Alzforum site </li></ul>
    12. 12. Main concepts and relationships in the SWAN ontology
    13. 13. Modules in the SWAN ontology
    14. 14. A typical hypothesis
    15. 15. Contributions from leading researchers Key research topics Contribute content Inventory of ideas Mechanisms of disease
    16. 16. Scientist view Toxic protein fragments believed responsible for AD Key information, gaps and conflicts Computer view Knowledge organised for computer processing, integration and reasoning
    17. 17. Browsing evidence and inconsistencies <ul><li>New experiment required? </li></ul>
    18. 18. A researcher-supported effort <ul><li>Dozens of etiopathological AD models annotated by SWAN curators in collaboration with leading researchers </li></ul><ul><li>Content reviewed before release by over twenty senior AD researchers </li></ul><ul><li>Software features reviewed before release by over thirty senior AD researchers </li></ul><ul><li>Extensive feedback incorporated into SWAN, such that this is a community tool (in line with Web 2.0 principles) </li></ul>
    19. 19. Semantically-Interlinked Online Communities (SIOC) <ul><li>An effort from DERI, NUI Galway to discover how we can create / establish ontologies on the Semantic Web </li></ul><ul><li>Goal of the SIOC ontology is to address interoperability issues on the (Social) Web </li></ul><ul><li>http://sioc-project.org/ </li></ul><ul><li>SIOC has been adopted in a framework of 50 applications or modules deployed on over 400 sites </li></ul><ul><li>Various domains: Web 2.0, enterprise information integration, HCLS, e-government </li></ul>
    20. 21. The steps taken <ul><li>Develop an ontology of terms for representing rich data from the Social Web </li></ul><ul><li>Create a food chain for producing, collecting and consuming SIOC data </li></ul><ul><li>As well dissemination via papers about SIOC, provide docs and examples at sioc-project.org </li></ul><ul><li>SIOC aims to enrich the Web infrastructure: </li></ul><ul><ul><li>During the next upgrade cycle, gigabytes of semantically-enriched community data become available! </li></ul></ul>
    21. 22. Some of the SIOC core ontology classes and properties
    22. 23. Some examples of where SIOC is already use (about 50 applications / modules)
    23. 24. Creating a Social Semantic Web of previously-disconnected social “data silos”
    24. 25. Also integrating scientific “data silos” in a semantic scientific collaboration framework <ul><li>Enabling researchers to: </li></ul><ul><ul><li>Collect data </li></ul></ul><ul><ul><li>Draw conclusions </li></ul></ul><ul><ul><li>Gather information </li></ul></ul><ul><ul><li>Create/modify hypotheses </li></ul></ul><ul><ul><li>Perform experiments </li></ul></ul><ul><li>But with the benefit of cross-community and cross-domain experiences and results </li></ul>
    25. 26. Mappings between SWAN and SIOC at http://rdfs.org/sioc/swan in OWL-DL
    26. 27. Mappings between SWAN and SIOC classes <ul><li>Subclasses of sioc:Item: </li></ul><ul><ul><li>swanscidis:DiscourseElement </li></ul></ul><ul><ul><li>swanscidis:ResearchStatement </li></ul></ul><ul><ul><li>swanscidis:ResearchQuestion </li></ul></ul><ul><ul><li>swanscidis:ResearchComment </li></ul></ul><ul><ul><li>swancit:Citation </li></ul></ul><ul><ul><li>swancit:JournalArticle </li></ul></ul><ul><li>Other mappings: </li></ul><ul><ul><li>sioc:Post > swancit:WebArticle, swancit:WebNews </li></ul></ul><ul><ul><li>sioc:Comment > swancit:WebComment </li></ul></ul><ul><li>swanscidis is the Scientific Discourse module, which provides a set of classes and properties to represent discourse elements </li></ul><ul><li>swancit is the Citations module, which aims to model the various citation elements that occur in scientific publishing </li></ul>
    27. 28. Mappings between SWAN and SIOC properties <ul><li>Subtypes of sioc:related_to: </li></ul><ul><ul><li>swandisrel:agreesWith / swandisrel:disagreesWith </li></ul></ul><ul><ul><li>swandisrel:alternativeTo </li></ul></ul><ul><ul><li>swandisrel:arisesFrom </li></ul></ul><ul><ul><li>swandisrel:cites </li></ul></ul><ul><ul><li>swandisrel:consistentWith / swandisrel:inconsistentWith </li></ul></ul><ul><ul><li>swandisrel:discusses </li></ul></ul><ul><ul><li>swandisrel:inResponseTo </li></ul></ul><ul><ul><li>swandisrel:motivatedBy </li></ul></ul><ul><ul><li>swandisrel:refersTo </li></ul></ul><ul><li>swandisrel is the Scientific Discourse Relationships module, which collects some of the relationships used for modelling discourse </li></ul><ul><li>May also use sioc:Item dcterms:hasPart swanscidis:DiscourseElement, for example, to represent that a particular hypothesis is part of a blog post </li></ul>
    28. 29. Mappings redundancy <ul><li>Redundant mappings: </li></ul><ul><ul><li>Can be entailed thanks to the transitivity of rdfs:subClassOf / rdfs:subPropertyOf </li></ul></ul><ul><ul><li>e.g. “swancit:JournalArticle rdfs:subClassOf sioc:item” can be inferred from “swancit:JournalArticle rdfs:subClassOf swancit:Citation” and “swancit:Citation rdfs:subClassOf sioc:Item” </li></ul></ul><ul><li>However: </li></ul><ul><ul><li>SIOC applications generally do not support such chained entailments </li></ul></ul><ul><ul><li>Need to address lightweight inference </li></ul></ul><ul><ul><li>Therefore we provide direct rdfs:subClassOf mappings </li></ul></ul>
    29. 30. Querying mappings <ul><li>Simple query to identify relatedness between items: </li></ul><ul><ul><li>Applying a SIOC query over SWAN data </li></ul></ul><ul><ul><li>SPARQL / Pellet, files loaded on runtime in memory </li></ul></ul><ul><ul><li>Experiment with both simple mappings (including transitive closure) and full mappings </li></ul></ul>PREFIX sioc: <http://rdfs.org/sioc/ns#> SELECT DISTINCT ?s ?o WHERE { ?s sioc:related_to ?o . ?s a sioc:Item . ?o a sioc:Item . }
    30. 31. W3C HCLS Interest Group notes published <ul><li>http://www.w3.org/TR/hcls-sioc/ </li></ul><ul><li>http://www.w3.org/TR/hcls-swan/ </li></ul><ul><li>http://www.w3.org/TR/hcls-swansioc/ </li></ul>
    31. 32. RDFa support in Drupal 7 for SSW data
    32. 33. Exposing scientific results to search <ul><li>Yahoo! Search Monkey and Google Rich Snippets </li></ul><ul><li>Highlights the structured data embedded in web pages </li></ul><ul><li>Google developers have indicated that scholarly publications marked up with Rich Snippets will also be picked up and appropriately indexed by Google Scholar </li></ul>
    33. 34. Acknowledgements <ul><li>We would like to thank Science Foundation Ireland for their support under grant SFI/08/CE/I1380 (Líon 2) </li></ul><ul><li>We would also like to thank an anonymous foundation for a generous gift in support of this work </li></ul><ul><li>Thanks to members of the W3C HCLSIG, in particular: </li></ul><ul><ul><li>Susie Stephens </li></ul></ul><ul><ul><li>Scott Marshall </li></ul></ul><ul><ul><li>Eric Prud’hommeaux </li></ul></ul>
    34. 35. Motivation <ul><li>To provide a complete RDF-based model to model online activities and scientific argumentation in neuromedicine: </li></ul><ul><ul><li>Combining Web 2.0 shared knowledge using SIOC and formal scientific data (hypotheses, claims, dialogue, evidence, publications, etc.) via SWAN </li></ul></ul><ul><li>To make (both formal and informal) discourse concepts and relationships more accessible to computation: </li></ul><ul><ul><li>So that they can be better navigated, compared and understood both across and within domains </li></ul></ul>
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