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Mapping domain thesauri to the CRM to assist the semantic interoperability of data archives Doug Tudhope Hypermedia Research Unit University of Glamorgan CIDOC CRM SIG Workshop, Imperial College, 2006 Presentation FACET Project with Science Museum Thesaurus-based query expansion

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mapping domain thesauri to the crm to assist the semantic interoperability of data archives

Mapping domain thesauri to the CRM to assist the semantic interoperability of data archives

Doug Tudhope

Hypermedia Research Unit

University of Glamorgan

CIDOC CRM SIG Workshop, Imperial College, 2006

presentation
Presentation
  • FACET Project with Science Museum
    • Thesaurus-based query expansion

with NMSI Collections database

    • Semantic expansion
    • Web Demonstrator

Extend to heterogeneous datasets and terminology systems

  • DELOS pilot project demonstrator
    • English Heritage upper ontology based on CRM
    • Mapping English Heritage thesaurus and database to CRM
    • Current work
facet faceted access to cultural heritage terminology
FACET - Faceted Access to Cultural hEritage Terminology

Aims:

  • Integration of thesaurus into the interface
  • Semantic expansion taking advantage of facet structure

http://www.comp.glam.ac.uk/~FACET/

facet collaborators
FACET Collaborators
  • Research Council Funding: EPSRC 3 years
  • National Museum of Science and Industry (NMSI):

National Railway Museum and Science Museum Collections Database

  • J. Paul Getty Trust

Art and Architecture Thesaurus (AAT)

  • Museum Documentation Association (MDA)

Railway Thesaurus

  • Canadian Heritage Information Network (CHIN)

Advisors

nrm collection examples of free text object descriptor fields
NRM Collection examples of free text object descriptor fields
  • Chair, London Midland & Scottish Railway, straight wooden back initials carved on back, green leatherette seat.
  • Chair, Railway Clearing House, Curved back with blue leather inset & blue leather seat. R. C.H. carved on back
  • Chair, M.S. & L.R., Straight back, blue leather seat with M.S. & L.R. carved across back
  • Armchair, Pullman, green plush, fringed from Pullman section.
  • Carver chair, Oak with oval brocade seat. Prince of Wales crest on back from Royal Saloon of 1876
  • Armchair, Upholstered in blue maquette with curved, buttoned back & scroll arms. Wooden legs
  • Occasional table, Oak with drawer, ornately carved. From Royal Saloon of 1876
  • Set of 4 chairs, High-backed carver chairs upholstered in floral maquette
  • Clock, made by Jno Walker, 250 Regent Street. Metal face/Roman numerals. Carved wooden square case. 20"x18"x10"
indexed example from nrm collection
Indexed Example from NRM Collection

ID 1975-7309

Description Armchair, Upholstered in blue moquette with curved,

buttoned back & scroll arms. Wooden legs

Item name(s) armchairs (AAT Hierarchy: Furnishings)

Part Aspect Term (AAT Hierarchy)

overall physical upholstering Processes & techniques

overall material moquette Materials

overall colour blue Color

legs material wood Materials

back shape curved Physical attributes

back physical buttoning Processes & techniques

arms shape scrolled arms Components

types of knowledge organisation system kos adapted from zeng salaba frbr workshop oclc 2005
Types of Knowledge Organisation System (KOS) adapted from Zeng & Salaba: FRBR Workshop, OCLC 2005

Ontologies Semantic networksThesauri

Relationship Groups:

Strongly-structured

Classification schemes TaxonomiesCategorization schemes

Classification &Categorization:

Subject Headings

Synonym RingsAuthority FilesGlossaries/DictionariesGazetteers

Weakly-structured

Term Lists:

Pick lists

Natural language

Controlled language

semantic expansion
Semantic Expansion

Expanding over thesaurus semantic relationships

allows the system to play an active role

  • Ranking of matching results by semantic closeness
  • Query Expansion (automatic/interactive)
  • Augmented Browsing tools

Underpinning technologies:

  • Measures of distance over the semantic index space
  • Multi-concept Matching Function
slide9

Faceted Knowledge Organisation Systems

Faceted classifications based on primary division

into fundamental, high-level categories (facets)

Compound descriptors (multi-concept headings) are synthesised

by combination of terms from limited number of fundamental facets

In constructing AAT, adjectival noun phrases very common:

e.g. painted oak furniture

“Rather than enumerate the nearly infinite number of object and subject descriptions needed by thesaurus users, the AAT decided to pursue the building blocks of these descriptors in the form of a faceted vocabulary”

(Guide to Indexing and Cataloging with the Art & Architecture Thesaurus)

slide10

Matching Problem

“The major problem lies in developing a system whereby individual parts of subject headings containing multiple AAT terms are broken apart, individually exploded hierarchically, and then reintegrated to answer a query with relevance”

(Toni Petersen, AAT Director)

Query: mahogany, dark yellow, brocading, Edwardian, armchair

Descriptor: oak, light yellow, crests, ovals, brocade, Victorian, Carver chair

Potentially extra / missing / partially and non-matching terms

facet standalone system
FACET standalone system

http://www.comp.glam.ac.uk/~facet/webdemo/

dstudhope@glam.ac.uk

facet web demonstrator
FACET Web Demonstrator
  • Illustrates thesaurus based expansion and faceted search
  • Intended as an exploration of FACET research outcomes

via dynamically generated Web components

rather than a complete final interface

  • Based on custom API for thesaurus programmatic access
  • Browser-based interface (ASP application), using a combination of server-side scripting and compiled components

http://www.comp.glam.ac.uk/~FACET/webdemo/

http://jodi.tamu.edu/Articles/v04/i04/Binding/

some lessons learned
Some lessons learned
  • Results show potential of faceted KOS for
    • Query expansion with semantically ranked results
    • Realtime implementation multi-concept matching function
    • Semantic expansion as a browsing tool
    • Potential combine with statistical and linguistic techniques

How to generalise?

 need for

  • Common KOS representations and APIs
  • Semantic mapping between different databases and KOS
semantic interoperability
Semantic InteroperabIlity
  • NMSI’s different museums and collections

held in a single collections database

  • Easy to express connections between thesaurus hierarchies and DB fields

What if search across different DBs and KOS?

  • Eg English Heritage (EH) a single organisation

but wide range unconnected DBs and vocabularies

mapping domain thesauri to the crm to assist the semantic interoperability of data archives18
Mapping domain thesauri to the CRM to assist the semantic interoperability of data archives
  • DELOS NoE mini-project on Ontology-driven interoperability

for Cluster on Knowledge Extraction & Semantic Interoperability

  • Proof of concept demonstrator for exploring retrieval potential of mapping domain KOS to upper ontology (CIDOC CRM)
  • In collaboration particularly with FORTH, University of Lund and English Heritage (Keith and Sarah May)
  • Investigate integration of datasets - for assisting archaeological search and information extraction
background
Background
  • Current EH situation one of fragmented datasets andapplications, with different terminology systems
  • Interpretation may not consist of same terms as context
  • Searchers from different scientific perspectives may not use same terminology
  • Need for integrative metadata framework

EH have designed an upper ontology based on CRM standard

  • Work to date focused on modelling
databases not meaningfully connected
Databases not meaningfully connected
  • Even simply expressed queries currently difficult to answer,

due to lack of tools for cross database searching

"Specialists could only talk to [field] archaeologists

and not talk to each other".

(from discussion with a palaeoenvironmental archaeologist)

Wider questions arising from science analysis by finds specialists often referred back to field archaeologist

since databases documenting different scientific aspects

not meaningfully connected

delos pilot project datasets
DELOS pilot project datasets
  • English Heritage (and EH Data Services Unit) supplying various databases and controlled vocabularies.
  • Starting with connecting to EH-CRM the new

Environmental Archaeology Thesaurus

and (part of) the Environmental Archaeology Bibliography

environmental archaeology thesaurus scope notes extract i
Environmental Archaeology ThesaurusScope Notes Extract (i)
  • Altered by Animals
  • SN: Modification or damage by an animal
  • RT Worked (use where modification is by humans in ASPECT)
  • Anoxic
  • SN: Material preserved by exclusion of oxygen usually due to saturation with water which inhibits decay by micro-organisms
  • Non Preferred Term: Waterlogged
  • Burnt
  • SN: Use for material that has been burnt
  • Calcined
  • SN: Material burnt at a high temperature (above 700 degrees centigrade) leaving only the mineral component.
  • Non-preferred term: cremated
  • BT: Burnt
  • RT Cremation
  • Charred
  • SN: Material that has been burnt and at least in part reduced to carbon as a result of burning in a reducing atmosphere below 500 degrees C.
  • Non-preferred term: Carbonised
  • BT: Burnt
  • Silicified
  • SN Use for material that has been burnt at high temperatures in a good air supply such that only silica component remains
  • BT: Burnt
  • ……
  • Mineral Replaced
  • SN: Replacement of organic material by minerals, including calcium carbonate and calcium phosphate
  • Non Preferred Term: Mineralised, Fossilised
  • Mineral Preserved
  • SN: Preservation of material by the toxic effect of corrosion products in the immediate vicinity, or within, the material
  • Non Preferred Term: Mineralised
  • Plant damage
  • SN: Material that has been penetrated or disrupted by the roots or rhizomes of plants.
environmental archaeology thesaurus scope notes extract ii
Environmental Archaeology ThesaurusScope Notes Extract (ii)
  • Arthropods
  • SN: Use for remains of arthropods in general, including woodlice, spiders, insects etc. Please note crustaceans have been included under this category.
  • BT: Invertebrates
  • NT: Cladocerans, Crustaceans (Decapods), Insects, Mites, Ostracods
  • Cladocerans
  • SN: Group of fresh water crustaceans which include the water fleas (Daphnia ssp.) the egg cases (ephippia) of which are found in archaeological deposits (EH Guidelines for Environmental Archaeology)
  • BT: ArthropodsEAT-Draft scope notesv6.doc
  • Crustaceans (Decapods)
  • SN: Use for the remains of shrimps, prawns, crabs and lobsters
  • BT: Arthropods
  • Insects
  • SN: Use for the remains of any part of an insect (MDA Object Thesaurus)
  • Non-preferred term: Beetles, Coleoptera
  • Mites
  • SN: Related to spiders. Use for ticks and true mites. Mites are widely present in archaeological deposits but are rarely studied in detail as they are difficult to identify (Kenward, forthcoming)
  • BT: Arthropods
  • Ostracods
  • SN: Small crustaceans ranging in size from 0.2mm to 30mm and possessing a bivalve carapace or ‘shell’. They live in salt-water, brackish and freshwater and are used to help to reconstruct aquatic conditions e.g. pollution, degree of salinity
  • BT: Arthropods
eh extension to crm
EH extension to CRM
  • Currently in pdf file
  • Need to represent in machine readable format
example of crm thesaurus connection by eh collaborators
Example of CRM - Thesaurus connection (by EH collaborators)
  • FlotationSampleResidueType – EH_E0067

CRM entity E55: Type

Classification of flot and/or residue contents

  • Mapping:

Use Arch Science Thesaurus Terms:

Object type, Material type, Modification state, Aspect

example crm thesaurus connection 2
Example CRM - Thesaurus connection 2
  • ContextSampleType – EHE0053
  • CRM entity E55: Type
  • Derived from the Environmental guidelines list

Samples taken will be of a particular type depending upon the technique that will be used to analyse them.

  • For Specialist Scientific Sampling it would be appropriate to use Archaeological Science Thesaurus terms for “Investigative Techniques”, but for samples taken by non-specialists the investigative technique may not be know at the point of sampling.
current work proof of concept demonstrator
Current Work - Proof of concept demonstrator
  • Express EH-CRM in machine-readable form
  • Add connections for databases and thesauri to EH-CRM

Demonstrator – first steps

  • Express user information need in terms of EH-CRM
  • Identify database and thesaurus entities (if any)

from extended EH-CRM

  • Drive search from this information
next steps
Next steps
  • Involve other EH databases and vocabularies
  • Connect very different datasets,

for example species taxonomies via via plant names

  • Extend to associated grey literature

(and FRBR indexed documents)

contact information
Contact Information

Doug Tudhope

School of Computing

University of Glamorgan

Pontypridd CF37 1DL

Wales, UK

dstudhope@glam.ac.uk

http://www.comp.glam.ac.uk/pages/staff/dstudhope

references
References

Binding C., Tudhope D. 2004. KOS at your Service: Programmatic Access to Knowledge Organisation Systems. JoDI 4(4), http://jodi.tamu.edu/Articles/v04/i04/Binding/

CIDOC CRM http://cidoc.ics.forth.gr/

DELOS Network of Excellence http://www.delos.info/

DELOS Knowledge Extraction & Semantic Interoperability http://delos-wp5.ukoln.ac.uk/

FACET Case Study, DigiCult Thematic Issue 6: Resource Discovery Technologies for the Heritage Sector,http://www.digicult.info/pages/Themiss.php [pdf]

FACET Web demonstrator http://www.comp.glam.ac.uk/~FACET/webdemo/