@inproceedings{a20b5dab003c4b9596e9b88548f8000b,
title = "QAestro: Semantic-Based Composition of Question Answering Pipelines",
author = "Kuldeep Singh and Ioanna Lytra and Vidal, \{Maria Esther\} and Dharmen Punjani and Harsh Thakkar and Christoph Lange and S{\"o}ren Auer",
note = "Funding information:. Parts of this work received funding from the EU Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 642795 (WDAqua).; 28th International Conference on Database and Expert Systems Applications, DEXA 2017 ; Conference date: 28-08-2017 Through 31-08-2017",
year = "2017",
month = aug,
day = "1",
doi = "10.1007/978-3-319-64468-4\_2",
language = "English",
isbn = "9783319644677",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "19--34",
editor = "Djamal Benslimane and Amit Sheth and Ernesto Damiani and Abdelkader Hameurlain and Grosky, \{William I.\} and Wagner, \{Roland R.\}",
booktitle = "Database and Expert Systems Applications",
address = "Germany",
}