The Humanities in a Global e-Infrastructure

A Shopping-List

Gregory Crane, Perseus Project, Tufts

Brian Fuchs, Internet Centre, Imperial College

Dolores Iorizzo, Internet Centre, Imperial College

Why e-infrastructure?

Data-driven Science Global not regional models Interactive and Intelligent Digital Libraries Collaboration in Arts, Humanities and Sciences Pre-Enlightenment Europe - Mash-up technologies Epistemic Networks

Why services?

Synergy Build super-corpora

Economy of scale Leverage existing services

Possibilities of scale Analyze a document against the entire

corpus of 19 c. newspapers in English

Global Grid Efforts in the Humanities

Cyberinfrastructure ACLS/NSF DELOS DARIAH DRIVER D-GRID (Text Grid) OAI-ORE

The Big Picture

Leverage power of global grid networks in the science for the Humanities - EGEE

Interrogation of large digital resources Metadata standards that work across the

sciences, arts and humanities Semantic interoperability Web 2.0 (3.0) and GRID Web Services

Services for the Humanities

Catalogue services Named entity services Customisation services User-contribution services

Catalogue ServicesSo far ...

FRBR Document-granularity in collections, allowing us

to .... identify and organize all editions, translations,

commentaries, indices, and other documents related to a single text.

Catalogue Services

Related Documents

Document chunk

Catalogue Services: What we need... Intra-document citation

Ability to cite text-chunks Citation management

Understand standard citation schemes E.g. Bekker and Stephanus

Version analysis Compare versions of an historical text over its lifespan e.g. Lucretius

Canonical text service Provide a benchmark text for each author

Named Entity Services

Automatically Extracted Named Entities

Intra-document chunk

Named Entity Services--Data Sources Language models

Does “est” = “he is” or “he eats”? Language models should give probabilities.

Print gazetteers Historical gazetteers

Dictionaries Digitized: the Perseus LSJ Digital: Wordnet

Training sets for machine learning... Documents with labelled features.

Customization / Personalisation

Personal Vocabulary Profile

Customization--Data sources

Personal profiles How often have I accessed features XYZ? What importance do I assign features XYZ?

Voting / Recommendation readers who looked up words X, Y, and Z, also

were interested in words M, N. and O.

Structured User Contributions

Resolution• Is this Berlin, New Hampshire or Berlin, DE?

Correction• “est” means “is” here, not “eat”

Annotation and Labelling• This paragraph discusses gravity.

Research Assessment: Classicists rewarded for digital projects

A community of tenured faculty Chris Blackwell, Furman Gregory Crane, Tufts Helma Dik, Chicago Bruce Robertson , Mount Allison Jeff Rydberg-Cox, Missouri Charlotte Roueché, King’s College Ross Scaife, Kentucky Mark Schiefsky - Harvard Neel Smith, Holy Cross

A Humanities e-infrastructure:the benefits

Cross-semination in IR, authority services, personalization

Basis for web 2.0 applications Better, more participatory interfaces for students

Open academic and educational markets to wider audiences Link Cultural Heritage material to science, industry and

tourism.