@inproceedings{ICSC2013Expansion,
  abstract = {Effective search in structured information based on textual user input is of high importance in thousands of applications. Query expansion methods augment the original query of a user with alternative query elements with similar meaning to increase the chance of retrieving appropriate resources. In this work, we introduce a number of new query expansion features based on semantic and linguistic inferencing over Linked Open Data. We evaluate the effectiveness of each feature individually as well as their combinations employing several machine learning approaches. The evaluation is carried out on a training dataset extracted from the QALD Question Answering benchmark. Furthermore, we propose an optimized linear combination of linguistic and lightweight semantic features in order to predict the usefulness of each expansion candidate. Our experimental study shows a considerable improvement in precision and recall over baseline approaches.},
  added-at = {2024-06-18T09:45:51.000+0200},
  author = {Shekarpour, Saeedeh and H{\"o}ffner, Konrad and Lehmann, Jens and Auer, S{\"o}ren},
  bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
  biburl = {https://www.bibsonomy.org/bibtex/293bb5c011108991b95e387f71572b2ef/aksw},
  booktitle = {7th IEEE International Conference on Semantic Computing, September 16-18, 2013, Irvine, California, USA},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2013.41},
  interhash = {342054d508ef295b62dfcda745cc6108},
  intrahash = {93bb5c011108991b95e387f71572b2ef},
  keywords = {2013 MOLE auer event_ICSC group_aksw hoeffner lehmann lod2page shekarpour topic_Search},
  owner = {soeren},
  pages = {191-197},
  timestamp = {2024-06-18T09:45:51.000+0200},
  title = {Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features},
  url = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
  year = 2013
}

@inproceedings{ICSC2013Expansion,
  abstract = {Effective search in structured information based on textual user input is of high importance in thousands of applications. Query expansion methods augment the original query of a user with alternative query elements with similar meaning to increase the chance of retrieving appropriate resources. In this work, we introduce a number of new query expansion features based on semantic and linguistic inferencing over Linked Open Data. We evaluate the effectiveness of each feature individually as well as their combinations employing several machine learning approaches. The evaluation is carried out on a training dataset extracted from the QALD Question Answering benchmark. Furthermore, we propose an optimized linear combination of linguistic and lightweight semantic features in order to predict the usefulness of each expansion candidate. Our experimental study shows a considerable improvement in precision and recall over baseline approaches.},
  added-at = {2023-04-25T16:34:49.000+0200},
  author = {Shekarpour, Saeedeh and H{\"o}ffner, Konrad and Lehmann, Jens and Auer, S{\"o}ren},
  bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISWC2013\_QueryExpansion/public.pdf},
  biburl = {https://www.bibsonomy.org/bibtex/293bb5c011108991b95e387f71572b2ef/dice-research},
  booktitle = {7th IEEE International Conference on Semantic Computing, September 16-18, 2013, Irvine, California, USA},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2013.41},
  interhash = {342054d508ef295b62dfcda745cc6108},
  intrahash = {93bb5c011108991b95e387f71572b2ef},
  keywords = {2013 MOLE auer event\_ICSC group\_aksw hoeffner lehmann lod2page shekarpour topic\_Search},
  owner = {soeren},
  pages = {191--197},
  timestamp = {2023-04-25T16:34:49.000+0200},
  title = {Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features},
  url = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
  year = 2013
}

@inproceedings{DBLP:conf/semco/ShekarpourHLA13,
  added-at = {2021-02-19T12:10:28.000+0100},
  author = {Shekarpour, Saeedeh and H{\"{o}}ffner, Konrad and Lehmann, Jens and Auer, S{\"{o}}ren},
  bibsource = {dblp computer science bibliography, https://dblp.org},
  biburl = {https://www.bibsonomy.org/bibtex/2889950724a251cd3f8070f27844092cb/soeren},
  booktitle = {2013 {IEEE} Seventh International Conference on Semantic Computing,
               Irvine, CA, USA, September 16-18, 2013},
  crossref = {DBLP:conf/semco/2013},
  doi = {10.1109/ICSC.2013.41},
  interhash = {342054d508ef295b62dfcda745cc6108},
  intrahash = {889950724a251cd3f8070f27844092cb},
  isbn = {978-0-7695-5119-7},
  keywords = {imported myown},
  pages = {191--197},
  publisher = {{IEEE} Computer Society},
  timestamp = {2021-02-19T12:10:28.000+0100},
  title = {Keyword Query Expansion on Linked Data Using Linguistic and Semantic
               Features},
  url = {https://doi.org/10.1109/ICSC.2013.41},
  year = 2013
}

@inproceedings{ICSC2013Expansion,
  abstract = {Effective search in structured information based on textual user input
	is of high importance in thousands of applications. Query expansion
	methods augment the original query of a user with alternative query
	elements with similar meaning to increase the chance of retrieving
	appropriate resources. In this work, we introduce a number of new
	query expansion features based on semantic and linguistic inferencing
	over Linked Open Data. We evaluate the effectiveness of each feature
	individually as well as their combinations employing several machine
	learning approaches. The evaluation is carried out on a training
	dataset extracted from the QALD question answering benchmark. Furthermore,
	we propose an optimized linear combination of linguistic and lightweight
	semantic features in order to predict the usefulness of each expansion
	candidate. Our experimental study shows a considerable improvement
	in precision and recall over baseline approaches.},
  added-at = {2017-01-27T23:28:47.000+0100},
  author = {Shekarpour, Saeedeh and H{\"o}ffner, Konrad and Lehmann, Jens and Auer, S{\"o}ren},
  bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
  biburl = {https://www.bibsonomy.org/bibtex/293bb5c011108991b95e387f71572b2ef/soeren},
  booktitle = {7th IEEE International Conference on Semantic Computing, September 16-18, 2013, Irvine, California, USA},
  ee = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2013.41},
  interhash = {342054d508ef295b62dfcda745cc6108},
  intrahash = {93bb5c011108991b95e387f71572b2ef},
  keywords = {2013 auer event_ICSC group_aksw hoeffner lehmann lod2page shekarpour},
  owner = {soeren},
  pages = {191--197},
  timestamp = {2017-01-27T23:30:12.000+0100},
  title = {Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features},
  url = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
  year = 2013
}