Classification and reference vocabulary in Linked Environment Data

Transcription

1 Classification and reference vocabulary in Linked Environment Data Joachim Fock, Maria Rüther, Thomas Schultz-Krutisch, Federal Environment Agency (UBA), Germany Thomas Bandholtz, innoq Deutschland GmbH Wir lösen das persönlich!

2 Outline Classification and thesaurus of the environmental library From class assignment to inference - a break of patterns in 2005 From library to Linked Environment Data Summary and conclusion

3 Classification and thesaurus of the library of the Federal Environment Agency (Umweltbundesamt, UBA), Germany Wir lösen das persönlich!

4 The UBA and its library Berlin, Mai 2005, then moved to Dessau-Roßlau, > 400,000 books > 1,000 periodicals > 14,000 research reports countless press releases different media types

5 Library catalogue

6 Classification 258 classes 14 root nodes three levels max notation: one digit level 3 two-letter root code one digit level 2 German/English

7 Thesaurus UMTHES 10,000 descriptors 25,000 non-descriptors Poly-hierarchy Inflectional forms of terms Term compositions Homograph qualifiers German centric with many English translations

8 SKOS model any resource can have these labels (~terms) and notes

9 SKOS representation (1) Concept :_ a skos:concept; skos:preflabel skosxl:preflabel :Abwasser; skos:altlabel :wastewater;@en skosxl:altlabel :wastewater; ( ) skos:definition Durch ext:memberof coll:wa52; ext:memberof coll:wa77; skos:narrower :_ ; skos:related :_ ; skos:broader :_ ; ( ) skos:closematch gemet:9127.

10 SKOS representation (2) Labels and label relations :Abwasser a skosxl:label; skosxl:literalform ext:inflectional Abwassern ; ext:inflectional Abwassers ; ext:inflectional Abwässer. :wastewater a skosxl:label; skosxl:literalform waste ext:lexicalvariant wastewater ; ext:compoundfrom (:waste :water). :waste a skosxl:label; skosxl:literalform :water a skosxl:label; skosxl:literalform ext:inflectional waters.

11 SKOS representation (3) The classification as a set of nested collections. coll:wa52 a skos:collection; skos:preflabel "WA52 Wasser: Abwasserbehandlung, "@de; skos:altlabel "WA52 Waste water treatment, "@en; skos:definition "Maßnahmen zur Behandlung "@de; skos:member :_ ; ( ) ext:memberof coll:wa5. broader class reference

12 iqvoc open source tool managing vocabularies (classifications, thesauri, etc.) on the Web intuitive user interface Linked Data compliant import/export of existing SKOS vocabularies editorial control and workflow full SKOS support: multiple languages, both user interface and vocabulary nested collections notes and annotations mapping properties SKOS-XL extension for labels licensed under the Apache 2.0 open source license. UMTHES live: get iqvoc:

13 From class assignment to inference A break of patterns in 2005 Wir lösen das persönlich!

14 Triade documents, thesaurus and classification <= 2005 > 2005 T C T C d d? T future? C d by inference

15 Property chain Given the RDF/OWL representation of the library catalogue and the thesaurus, a simple property chain (OWL2) may be interpreted by a reasoner to detect implicit class assignments of documents. A common property chain example is: :hasuncle owl:propertychainaxiom ( :hasparent :hasbrother ). In our case we may add a similar statement: :DOC4711 :classifiedby owl:propertychainaxiom (:hasconcept :ismemberof). classifiedby T n C m hasconcept d classifiedby (inferred)

16 Significance by descriptors How many descriptors T n of document d m refer to the same class? d 1 one - weak T 1 C 1 T 2 d 2 three - strong T 3 d 3 two - medium C 2 T 4 d 3 none

17 Significance by focus How many classes C n are referred by the same document d m C 1 d 1 one - narrow C 2 d 2 three - wide C 3 d 3 two - medium

18 Example classification & indexing of a document manually assigned classe vs. classes inferred by descriptors = both methods = different levels of hierarchy

19 Example

20 From library to LED Linked Environment Data Wir lösen das persönlich!

21 Linked Environment Data C Substances Reference Vocabulary Gazetteer T Chronicle Species d Research DB data record Observation data record Information Resources

22 Library Linked Data use case Crosslinking Environment Data and the Library ESB record member of UMT Class has proband UMT Concept described in LIB record has keyword Publication coincidence sampled in CHR Event GAZ Location Environmental Library (LIB) Environment Specimen Bank (ESB) UMTHES (UMT) SNS gazetteer (GAZ) SNS chronicle (CHR)

23 Summary and conclusion Classes and concepts are complementary, but sometimes data refer to concepts only Wir lösen das persönlich!

24 Classified information spaces When you have a classified thesaurus and data records referring to concepts ( descriptors ) classifying these records by inference might be a solution. RDF representations enable crosslinking vocabularies, bibliographic records and scientific data on the Web, property chaining by standard reasoners, but this needs further refinement, finally, classified information spaces.

25 Thank you for listening! Joachim Fock Thomas Bandholtz Maria Rüther innoq Deutschland GmbH Phone: Thomas Schultz-Krutisch Federal Environment Agency (UBA), Germany Phone: