Konferenzpaper | | Peer reviewed Open Access

Evaluation a of a layered approach to question answering over linked data

Autor(en)
Walter, Sebastian ; Unger, Christina ; Cimiano, Philipp 0000-0002-4771-441X ; Bär, Daniel
Name der Konferenz
The 11th International Semantic Web Conference (ISWC 2012)
DOI
10.1007/978-3-642-35173-0_25
URN
urn:nbn:de:0070-pub-25918520
URL
https://pub.uni-bielefeld.de/record/2591852

Weitere Details

Sprache
englisch
Darstellungsform
Text
Schlagwörter
experimental evaluation , layered approach , linked data , question answering
Link zum Volltext (intern)
https://pub.uni-bielefeld.de/record/2591852
DDC
006

We present a question answering system architecture which processes natural language questions in a pipeline consisting of five steps: i) question parsing and query template generation, ii) lookup in an inverted index, iii) string similarity computation, iv) lookup in a lexical database in order to find synonyms, and v) semantic similarity computation. These steps are ordered with respect to their computational effort, following the idea of layered processing: questions are passed on along the pipeline only if they cannot be answered on the basis of earlier processing steps, thereby invoking computationally expensive operations only for complex queries that require them. In this paper we present an evaluation of the system on the dataset provided by the 2nd Open Challenge on Question Answering over Linked Data (QALD-2). The main, novel contribution is a systematic empirical investigation of the impact of the single processing components on the overall performance of question answering over linked data.

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