Sci disc 2010 9-20

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Sci disc 2010 9-20

  1. 1. HCLS Scientific Discourse Task Textmining and SemWeb Alignment September 13, 2010
  2. 2. Complementary Interests <ul><li>Text mining goal : derive high-quality information (reduce ambiguity), using computation. </li></ul><ul><ul><li>Needs universal persistent representation of results consistent with Web architecture. </li></ul></ul><ul><li>SemWeb goals : represent high-quality (reduced-ambiguity) information, making it computable. </li></ul><ul><ul><li>Needs effective bridges to the web of documents where science is communicated. </li></ul></ul>
  3. 3. Typical text mining tasks * <ul><ul><li>text categorization ✔ </li></ul></ul><ul><ul><li>text clustering </li></ul></ul><ul><ul><li>concept/entity extraction ✔ </li></ul></ul><ul><ul><li>production of granular taxonomies ✔ </li></ul></ul><ul><ul><li>sentiment analysis </li></ul></ul><ul><ul><li>document summarization ✔ </li></ul></ul><ul><ul><li>learning relations between named entities ✔. </li></ul></ul><ul><ul><li>*http://en.wikipedia.org/wiki/Text_mining </li></ul></ul>
  4. 4. Textmining alignments to SciDisc <ul><li>Annotation Ontology (AO) </li></ul><ul><ul><li>Represents annotations on Web documents </li></ul></ul><ul><ul><li>http://code.google.com/p/annotation-ontology </li></ul></ul><ul><li>Biomedical Article of the Future </li></ul><ul><ul><li>Algorithmic generation of “Structured digital abstracts”? </li></ul></ul><ul><li>Other alignments? </li></ul>
  5. 5. Related Projects <ul><li>Pistoia Alliance demonstrator </li></ul><ul><li>Neuroscience Information Framework </li></ul><ul><li>MGH Annotation Framework </li></ul><ul><li>NCBO Annotator </li></ul><ul><li>Biocreative </li></ul><ul><li>Provenance XG </li></ul><ul><li>Others? </li></ul>
  6. 6. How do we promote alignment? <ul><li>Can we develop “matched” (complementary) tasks in both communities? </li></ul><ul><li>Are there useful ways to demonstrate task-matching via shared projects? </li></ul><ul><li>How can SciDisc help textminers? </li></ul><ul><li>How can texminers help SciDisc? </li></ul>

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