Terrier Workshop: 24 th October 2007 Alasdair J G Gray.

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Presentation transcript:

Terrier Workshop: 24 th October 2007 Alasdair J G Gray

 Vocabularies in astronomy  Generating machine processible vocabularies  Exploring with vocabularies  Future work

 Many existing vocabularies  Astronomy and Astrophysics keywords (AAk)  Astronomical outreach imagery metadata tags (AOIM)  International Astronomical Union Thesaurus (IAU)  Universal content descriptors (UCDs)  Etc.  Created for specific purposes  Tagging journal articles (AAk)  Tagging images (AOIM)  Library cataloguing and searching (IAU)  Describing data source column content (UCDs)  Many others

RequirementsIssues  Search for information using keywords  Return data from all available data sources  Navigate result using  Generalisation: retrieve more data  Specialisation: reduce data by selecting specific topic  Related terms  A data source is marked-up in one vocabulary  Need to combine information from multiple sources  Similar terms appear in the different vocabularies  Vocabularies have different structures

 Capture vocabulary structure  Broader term/Narrower term relationship  Related term relationship  Use/Use for relationship Synonym/Alternative term  Standardised representation  OWL: Rigid defined semantics, very expressive  SKOS: Loose semantics, highly explorable  Visualisation/exploration tools  Inter-vocabulary mappings (open issue)

 Many different  Formats Web page Word document PDF document  Structures Implicit/explicit Hierarchical Collections

 Flat xml files published by Frederic Hessman  Added structure explicitly  XSLT transformation to SKOS Magnetohydrodynamics (MHD) Magnetohydrodynamics MHD

Viewing Vocabularies (1)

Viewing Vocabularies (2)

Astronomy Exploration Service  Given a term in a vocabulary find  Broader terms  Narrower terms  Related terms  User should not need to know  Mappings between vocabularies  SPARQL  Allow the user to “explore” the results

 Find all items that are more general than a AOIM variable nova select ?bURI ?bName where { AOIM:startypevariablenova rdfs:subClassOf ?r. ?r skos:broader ?bURI. ?bURI skos:prefLabel ?bName.}  Using AAk and AOIM returns: ?bURI?bName AOIM:startypevariableStar: Type: Variable AAk:starsStars

Sealife project, University of Manchester

 Develop service for seamless astronomical vocabulary exploration  Explore IR techniques using vocabularies  Generate indexes based on vocabularies  Use vocabularies for query expansion  Result ranking based on vocabularies  Develop Terrier module for vocabularies?