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Ellery Smith

Ellery Smith

ZHAW School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur

ellery.smith@zhaw.ch

Personal profile

Projects

INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL) / Team member / Project ongoing
INODE – Intelligent Open Data Exploration (EU Horizon 2020) / Team member / Project completed

Publications

Articles in scientific journal, peer-reviewed

Amer-Yahia, Sihem; Koutrika, Georgia; Braschler, Martin; Calvanese, Diego; Lanti, Davide; Lücke-Tieke, Hendrik; Mosca, Alessandro; Mendes de Farias, Tarcisio; Papadopoulos, Dimitris; Patil, Yogendra; Rull, Guillem; Smith, Ellery; Skoutas, Dimitrios; Subramanian, Srividya; Stockinger, Kurt,

2021.

INODE : building an end-to-end data exploration system in practice.

SIGMOD Record.

50(4), pp. 23-29.

Available from: https://doi.org/10.21256/zhaw-23624
Smith, Ellery; Papadopoulos, Dimitris; Braschler, Martin; Stockinger, Kurt,

2021.

LILLIE : information extraction and database integration using linguistics and learning-based algorithms.

Information Systems.

105.

Available from: https://doi.org/10.1016/j.is.2021.101938

Conference contributions, peer-reviewed

Smith, Ellery; Weiler, Andreas; Braschler, Martin,

2021.

Skill extraction for domain-specific text retrieval in a job-matching platform [paper].

In:

Candan, K. Selçuk; Ionescu, Bogdan; Goeuriot, Lorraine; Larsen, Birger; Müller, Henning; Joly, Alexis; Maistro, Maria; Piroi, Florina; Faggioli, Gugliemlo; Ferro, Nicola, eds.,

Experimental IR Meets Multilinguality, Multimodality, and Interaction.

12th International Conference of the CLEF Association (CLEF 2021), virtual event, 21–24 September 2021.

Cham:

Springer.

pp. 116-128.

Lecture Notes in Computer Science ; 12880.

Available from: https://doi.org/10.1007/978-3-030-85251-1_10
Smith, Ellery; Braschler, Martin; Weiler, Andreas; Haberthuer, Thomas,

2019.

Syntax-based skill extractor for job advertisements [paper].

In:

2019 6th Swiss Conference on Data Science (SDS).

6th Swiss Conference on Data Science (SDS), Bern, 14. Juni 2019.

IEEE.

pp. 80-81.

Available from: https://doi.org/10.1109/SDS.2019.000-3