Recueil de chansons populaires /

Each vol. includes index of first lines.

La Goguette, chansonnier de table et de société,

Mode of access: Internet.

Les Chansons populaires de la Haute-Savoie /

"Extrait de la Revue savoisienne."

Chansons et pasquilles lilloises.

Includes unacc. melodies, with words.

Chansons populaires recueillies dans les Alpes françaises (Savoie et Dauphiné)

Head and tail pieces.

Les vieilles chansons des pays de France.

Mode of access: Internet.

Recherches sur les ranz des vaches; ou Sur les chansons pastorales des bergers de la Suisse; avec musique.

Unaccompanied melodies.

Recueil de chants historiques française : depuis le XIIe jusqu'au XVIIIe siècle /

No more published.

Ballades et chants populaires (anciens et modernes) de l'Allemagne.

"Notice historique sur la poésie lyrique en Allemagne": p. [ix]-xxxi.

Études critiques sur la tradition littéraire en France

Premier série.

White and Negro spirituals, their life span and kinship, tracing 200 years of untrammeled song making and singing among our country folk, with 116 songs as sung by both races.

"The tune comparative list. One hundred and sixteen melodies of white people paired with same number of Negro-sung variants": p. [145]-227.

White spirituals in the southern uplands; the story of the fasola folk, their songs, singings, and "buckwheat notes,"

Includes music.

Modern French Songs,

English and French words.

French songs /

Mostly unaccompanied melodies; some songs have piano accompaniment.

Ontologies for representation of folk song metadata

The digital management of collections in museums, archives, libraries and galleries is an increasingly important part of cultural heritage studies. This paper describes a representation for folk song metadata, based on the Web Ontology Language (OWL) implementation of the CIDOC Conceptual Reference Model. The OWL representation facilitates encoding and reasoning over a genre ontology, while the CIDOC model enables a representation of complex spatial containment and proximity relations among geographic regions. It is shown how complex queries of folk song metadata, relying on inference and not only retrieval, can be expressed in OWL and solved using a description logic reasoner.