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Special issue on question answering for Linked Data

This editorial summarizes the content of the special issue of the Semantic Web Journal on question answering for linked data.

Axel-Cyrille Ngonga Ngomo | Christina Unger

[1] Elena Cabrio,et al. Question Answering over Linked Data (QALD-5) , 2014, CLEF.

[2] Yavor Nenov,et al. Semantic Technologies for Data Analysis in Health Care , 2016, SEMWEB.

[3] Dai Quoc Nguyen,et al. Ripple Down Rules for question answering , 2014, Semantic Web.

[4] Serena Villata,et al. A RADAR for information reconciliation in Question Answering systems over Linked Data , 2017, Semantic Web.

[5] Anca Marginean,et al. GFMed: Question Answering over BioMedical Linked Data with Grammatical Framework , 2014, CLEF.

[6] Fleur Mougin,et al. Querying biomedical Linked Data with natural language questions , 2017, Semantic Web.

[7] Jens Lehmann,et al. Survey on challenges of Question Answering in the Semantic Web , 2017, Semantic Web.

[8] Alexandra Poulovassilis,et al. Flexible query processing for SPARQL , 2017, Semantic Web.

[9] Jens Lehmann,et al. LODStats: The Data Web Census Dataset , 2016, SEMWEB.

[10] Takahiro Kawamura,et al. Building Urban LOD for Solving Illegally Parked Bicycles in Tokyo , 2016, International Semantic Web Conference.