Stuart Jeffrey, Julian Richards, Fabio CiravegnaStuart Jeffrey, Julian Richards, Fabio Ciravegna, Stewart Waller, Sam Chapman, Ziqi ZhangStewart Waller, Sam Chapman, Ziqi Zhang, Tony Austin. Tony Austin. STAR/Archaeotools Workshop, York, 9STAR/Archaeotools Workshop, York, 9thth May 2008. May 2008.

The Archaeotools project: The Archaeotools project: faceted classification and natural language faceted classification and natural language processing in an archaeological context.processing in an archaeological context.

AHRC-EPSRC-JISC eScience research grants scheme:AHRC-EPSRC-JISC eScience research grants scheme:

AIM: To allow archaeologists to discover, share and analyse datasets and legacy publications which have hitherto been very difficult to integrate into existing digital frameworks

BUILDS UPON: Common Information Environment Enhanced Geospatial browser

PARTNERS: Natural Language Processing Research Group, Department of Computer Science, University of Sheffield

Joint Information Systems Committee

• Workpackage 1 - Advanced Faceted Classification /Geo-spatial Workpackage 1 - Advanced Faceted Classification /Geo-spatial browser – 1m+ records; 4 primary facets (What, Where, When browser – 1m+ records; 4 primary facets (What, Where, When and Media).and Media).

• Workpackage 2 – Natural language processing /Data-mining of Workpackage 2 – Natural language processing /Data-mining of Grey Literature; plus taggingGrey Literature; plus tagging

• Workpackage 3 – Data-mining of Historic Literature; plus Workpackage 3 – Data-mining of Historic Literature; plus geoXwalkgeoXwalk

Three distinct Workpackages:

• Datasets include:– National Monuments Records (Scotland, Wales, England)– Excavation Index (EH)– Archive Holdings– Local Authority Historic Environment Records

• Thesauri include:– Thesaurus of Monuments Types (TMT)– Thesaurus of Object Types – MIDAS Period list– UK Government list of administrative areas, County,

District, Parish (CDP) – Not MIDAS

OracleRDBMS

MIDAS XML Record

Information Extraction RDF Resource

Knowledge triple store

XML Docs of Thesaurus

Query

User Interface

Information Extraction

When, Where, What ontologiesas entries to faceted index

Input

Input

• Workpackage 1 - Advanced Faceted Classification /Geo-spatial Workpackage 1 - Advanced Faceted Classification /Geo-spatial browser – 1m+ records; 4 primary facets (What, Where, When browser – 1m+ records; 4 primary facets (What, Where, When and Media).and Media).

• Workpackage 2 – Natural language processing /Data-mining of Workpackage 2 – Natural language processing /Data-mining of Grey Literature; plus taggingGrey Literature; plus tagging

• Workpackage 3 – Data-mining of Historic Literature; plus Workpackage 3 – Data-mining of Historic Literature; plus geoXwalkgeoXwalk

• Workpackage 1 - Advanced Faceted Classification /Geo-spatial Workpackage 1 - Advanced Faceted Classification /Geo-spatial browser – 1m+ records; 4 primary facets (What, Where, When browser – 1m+ records; 4 primary facets (What, Where, When and Media).and Media).

• Workpackage 2 – Natural language processing /Data-mining of Workpackage 2 – Natural language processing /Data-mining of Grey Literature; plus taggingGrey Literature; plus tagging

• Workpackage 3 – Data-mining of Historic Literature; plus Workpackage 3 – Data-mining of Historic Literature; plus geoXwalkgeoXwalk

http://ads.ahds.ac.uk/project/archaeotools/

“WHAT”

• Records that have no subject information

• Records that use terms not found in TMT, so these records cannot be indexed (6,442 unique terms)

Records (1,001,407)

19,269 records (2%)

Records (1,001,407)

101,507 records (10.1%)

“WHEN”

• Records that have no temporal information

• Records that use period terms not found in MIDAS so these records cannot be indexed (457 types of irresolvable dates)

Records (1,001,407)

292,793 records (29.2%)

Records (1,001,407)

114,505 (11.4%)

1066, 1001-1100,11th Centuary, C11, 11C, Eleventh Century

“WHERE”

• Records that have no spatial information

• Records that use terms not found in CDP, so these records cannot be indexed.

Records (1,001,407)

11,126(1.1%)

Records (1,001,407)

245,601 records (24.5%)