Konrad Höffner – Smart Data Analytics

PhD Student
Agile Knowledge Engineering and Semantic Web (AKSW)
University of Leipzig

Profiles: Google Scholar, DBLP , ResearchGate

Augustusplatz 10, Room P905, 04109 Leipzig
konrad.hoeffner@uni-leipzig.de
Phone: +49-341-9732273

Short CV

Konrad Höffner is a PhD Student at the University of Leipzig. Konrad’s research interests are in the area of Question Answering on Statistical Data.

Research Interests

Question Answering
Semantic Web

Publications

2017

K. Höffner, S. Walter, E. Marx, R. Usbeck, J. Lehmann, and A. {{Ngonga Ngomo}}, “Survey on Challenges of Question Answering in the Semantic Web,” Semantic Web Journal, vol. 8, iss. 6, 2017.
[BibTeX] [Download PDF]

@Article{qa_survey_swj_2015,
Title = {Survey on Challenges of {Q}uestion {A}nswering in the {S}emantic {W}eb},
Author = {H\"offner, Konrad and Walter, Sebastian and Marx, Edgard and Usbeck, Ricardo and Lehmann, Jens and {{Ngonga Ngomo}}, Axel-Cyrille},
Journal = {Semantic Web Journal},
Year = {2017},
Number = {6},
Volume = {8},
Added-at = {2017-08-31T16:25:00.000+0200},
Biburl = {https://www.bibsonomy.org/bibtex/2f0401ca8adebe1b7edfa36255ea1140d/aksw},
Interhash = {6bac844b30f9d1caf6bc72f57e43f7e5},
Intrahash = {f0401ca8adebe1b7edfa36255ea1140d},
Keywords = {diesel group_aksw hawk hoeffner lehmann marx mole ngonga openqa projecthobbit qamel simba sina tbsl usbeck},
Timestamp = {2017-08-31T16:25:00.000+0200},
Url = {http://www.semantic-web-journal.net/system/files/swj1375.pdf}
}

2016

E. Marx, K. Höffner, S. Shekarpour, A. N. Ngomo, J. Lehmann, and S. Auer, “Exploring Term Networks for Semantic Search over RDF Knowledge Graphs,” in Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings, Cham, 2016, pp. 249-261. doi:10.1007/978-3-319-49157-8_22
[BibTeX] [Download PDF]

@InProceedings{marx/starpath/smart/mtsr/2016,
Title = {Exploring Term Networks for Semantic Search over RDF Knowledge Graphs},
Author = {Marx, Edgard and H{\"o}ffner, Konrad and Shekarpour, Saeedeh and Ngomo, Axel-Cyrille Ngonga and Lehmann, Jens and Auer, S{\"o}ren},
Booktitle = {Metadata and Semantics Research: 10th International Conference, MTSR 2016, G{\"o}ttingen, Germany, November 22-25, 2016, Proceedings},
Year = {2016},
Address = {Cham},
Pages = {249--261},
Publisher = {Springer International Publishing},
Doi = {10.1007/978-3-319-49157-8_22},
ISBN = {978-3-319-49157-8},
Keywords = {marx simba ngonga smart group_aksw hoeffner lehmann openqa mole MOLE},
Url = {https://www.researchgate.net/publication/309700280_Exploring_Term_Networks_for_Semantic_Search_over_RDF_Knowledge_Graphs}
}

K. Höffner, J. Lehmann, and R. Usbeck, “CubeQA—Question Answering on RDF Data Cubes,” in Proceedings of the 15th International Semantic Web Conference (ISWC2016), 2016.
[BibTeX] [Download PDF]

@InProceedings{cubeqa,
Title = {{CubeQA}---{Q}uestion {A}nswering on {RDF} {D}ata {C}ubes},
Author = {Konrad H{\"o}ffner and Jens Lehmann and Ricardo Usbeck},
Booktitle = {Proceedings of the 15th International Semantic Web Conference (ISWC2016)},
Year = {2016},
Keywords = {hoeffner lehmann usbeck group_aksw sys:relevantFor:infai sys:relevantFor:bis simba},
Owner = {konrad},
Url = {http://svn.aksw.org/papers/2016/ISWC_cubeqa/}
}

2015

K. Höffner, M. Martin, and J. Lehmann, “LinkedSpending: OpenSpending becomes Linked Open Data,” Semantic Web Journal, 2015. doi:10.3233/SW-150172
[BibTeX] [Abstract] [Download PDF]

There is a high public demand to increase transparency in government spending. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is a an open platform that provides public finance data from governments around the world. In this article, we present its RDF conversion LinkedSpending which provides more than five million planned and carried out financial transactions in 627 datasets from all over the world from 2005 to 2035 as Linked Open Data. This data is represented in the RDF Data Cube vocabulary and is freely available and openly licensed.

@Article{linkedspending,
Title = {{LinkedSpending}: {OpenSpending} becomes {Linked Open Data}},
Author = {Konrad H{\"o}ffner and Michael Martin and Jens Lehmann},
Journal = {Semantic Web Journal},
Year = {2015},
Abstract = {There is a high public demand to increase transparency in government spending. Open spending data has the power to reduce corruption by increasing accountability and strengthens democracy because voters can make better informed decisions. An informed and trusting public also strengthens the government itself because it is more likely to commit to large projects. OpenSpending.org is a an open platform that provides public finance data from governments around the world. In this article, we present its RDF conversion LinkedSpending which provides more than five million planned and carried out financial transactions in 627 datasets from all over the world from 2005 to 2035 as Linked Open Data. This data is represented in the RDF Data Cube vocabulary and is freely available and openly licensed.},
Bdsk-url-1 = {http://www.semantic-web-journal.net/system/files/swj923.pdf},
Doi = {10.3233/SW-150172},
Keywords = {semantic web transparency finance budget OpenSpending RDF public expenditure Open Data hoeffner martin lehmann group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis MOLE linkedspending},
Timestamp = {2015.01.08},
Url = {http://www.semantic-web-journal.net/system/files/swj923.pdf}
}

I. Ermilov, K. Höffner, J. Lehmann, and D. Mouromtsev, “kOre: Using Linked Data for OpenScience Information Integration,” in SEMANTiCS 2015, 2015.
[BibTeX] [Abstract] [Download PDF]

While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities’ internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.

@InProceedings{ermilov-i-2015-b,
Title = {k{O}re: {U}sing {L}inked {D}ata for {O}pen{S}cience {I}nformation {I}ntegration},
Author = {Ivan Ermilov and Konrad H\"offner and Jens Lehmann and Dmitry Mouromtsev},
Booktitle = {SEMANTiCS 2015},
Year = {2015},
Abstract = {While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities' internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.},
Bdsk-url-1 = {http://svn.aksw.org/papers/2015/SEMANTICS_Licensing/public.pdf},
Keywords = {2015 geoknow sake iermilov lehmann hoeffner simba group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow},
Owner = {ivan},
Timestamp = {2015.08.12},
Url = {http://svn.aksw.org/papers/2015/SEMANTICS_ITMOLOD_DEMO/public.pdf}
}

2014

E. Marx, R. Usbeck, A. {Ngonga Ngomo}, K. Höffner, J. Lehmann, and S. Auer, “Towards an Open Question Answering Architecture,” in Proceedings of the 10th International Conference on Semantic Systems, New York, NY, USA, 2014, pp. 57-60. doi:10.1145/2660517.2660519
[BibTeX] [Download PDF]

@InProceedings{marx/openqa/semantics/2014,
Title = {Towards an {O}pen {Q}uestion {A}nswering {A}rchitecture},
Author = {Marx, Edgard and Usbeck, Ricardo and {Ngonga Ngomo}, Axel-Cyrille and H\"{o}ffner, Konrad and Lehmann, Jens and Auer, S\"{o}ren},
Booktitle = {Proceedings of the 10th International Conference on Semantic Systems},
Year = {2014},
Address = {New York, NY, USA},
Pages = {57--60},
Publisher = {ACM},
Series = {SEMANTICS'14},
Acmid = {2660519},
Doi = {10.1145/2660517.2660519},
ISBN = {978-1-4503-2927-9},
Keywords = {sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow marx smart simba ngonga usbeck group_aksw hoeffner lehmann openqa mole MOLE},
Location = {Leipzig, Germany},
Numpages = {4},
Url = {http://doi.acm.org/10.1145/2660517.2660519}
}

K. Höffner and J. Lehmann, “Towards Question Answering on Statistical Linked Data,” in Proceedings of the 10th International Conference on Semantic Systems, New York, USA, 2014, pp. 61-64. doi:10.1145/2660517.2660521
[BibTeX] [Download PDF]

@InProceedings{cubeqashort,
Title = {Towards {Q}uestion {A}nswering on Statistical {L}inked {D}ata},
Author = {H\"{o}ffner, Konrad and Lehmann, Jens},
Booktitle = {Proceedings of the 10th International Conference on Semantic Systems},
Year = {2014},
Address = {New York, USA},
Note = {doi:10.1145/2660517.2660521},
Pages = {61--64},
Publisher = {Association for Computing Machinery},
Bdsk-url-1 = {http://svn.aksw.org/papers/2014/cubeqa/short/public.pdf},
Bdsk-url-2 = {http://dx.doi.org/10.1145/2660517.2660521},
Doi = {10.1145/2660517.2660521},
ISBN = {978-1-4503-2927-9},
Keywords = {group_aksw MOLE sys:relevantFor:infai sys:relevantFor:bis topic_Search topic_Querying lehmann hoeffner 2014 MOLE cubeqa},
Location = {Leipzig, Germany},
Numpages = {4},
Url = {http://svn.aksw.org/papers/2014/cubeqa/short/public.pdf}
}

2013

S. Shekarpour, K. Höffner, J. Lehmann, and S. Auer, “Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features,” in 7th IEEE International Conference on Semantic Computing, September 16-18, 2013, Irvine, California, USA, 2013, pp. 191-197.
[BibTeX] [Abstract] [Download PDF]

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.

@InProceedings{ICSC2013Expansion,
Title = {Keyword Query Expansion on Linked Data Using Linguistic and Semantic Features},
Author = {Saeedeh Shekarpour and Konrad H{\"o}ffner and Jens Lehmann and S{\"o}ren Auer},
Booktitle = {7th IEEE International Conference on Semantic Computing, September 16-18, 2013, Irvine, California, USA},
Year = {2013},
Pages = {191-197},
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.},
Bdsk-url-1 = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf},
Ee = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2013.41},
Keywords = {shekarpour auer hoeffner lehmann group_aksw sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 lod2page 2013 event_ICSC sys:relevantFor:geoknow topic_Search MOLE},
Owner = {soeren},
Timestamp = {2013.06.01},
Url = {http://svn.aksw.org/papers/2013/ISWC2013_QueryExpansion/public.pdf}
}

K. Lyko, K. Höffner, R. Speck, A. Ngonga Ngomo, and J. Lehmann, “SAIM—One Step Closer to Zero-Configuration Link Discovery,” in Proc. of the Extended Semantic Web Conference Posters & Demos, 2013.
[BibTeX] [Download PDF]

@InProceedings{Lyko2013,
Title = {{SAIM}---{O}ne Step Closer to Zero-Configuration Link Discovery},
Author = {Klaus Lyko and Konrad H\"offner and Ren\'e Speck and Axel-Cyrille {Ngonga Ngomo} and Jens Lehmann},
Booktitle = {Proc. of the Extended Semantic Web Conference Posters \& Demos},
Year = {2013},
Bdsk-url-1 = {http://jens-lehmann.org/files/2013/eswc_demo_saim.pdf},
Keywords = {2013 group_aksw group_mole mole ngonga lehmann sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 topic_Interlinking sys:relevantFor:geoknow geoknow lod2page peer-reviewed MOLE simba limes speck lyko scms hoeffner},
Owner = {jl},
Timestamp = {2013.04.27},
Url = {http://jens-lehmann.org/files/2013/eswc_demo_saim.pdf}
}

J. Lehmann, K. Höffner, S. Prätor, S. Lehmann, A. Ngonga Ngomo, A. Garcia-Rojas, and S. Athanasiou, “GeoKnow: Geo-Anwendungen im Daten-Web,” gis.Business, iss. 5, pp. 48-51, 2013.
[BibTeX]

@Article{geoknow_business,
Title = {GeoKnow: Geo-Anwendungen im Daten-Web},
Author = {Jens Lehmann and Konrad H{\"o}ffner and Sandra Pr{\"a}tor and Stephanie Lehmann and Axel-Cyrille {Ngonga Ngomo} and Alejandra Garcia-Rojas and Spiros Athanasiou},
Journal = {gis.Business},
Year = {2013},
Number = {5},
Pages = {48--51},
Keywords = {lehmann group_aksw MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:lod2 sys:relevantFor:geoknow lod2page 2013 hoeffner}
}

K. Höffner, C. Unger, L. Bühmann, J. Lehmann, A. N. Ngomo, D. Gerber, and P. Cimiano, “User Interface for a Template Based Question Answering System,” in Proceedings of the 4th Conference on Knowledge Engineering and Semantic Web, 2013, pp. 258-264.
[BibTeX] [Download PDF]

@InProceedings{hoeffner-2013-kesw,
Title = {User Interface for a Template Based {Q}uestion {A}nswering System},
Author = {Konrad H{\"o}ffner and Christina Unger and Lorenz B{\"u}hmann and Jens Lehmann and Axel-Cyrille Ngonga Ngomo and Daniel Gerber and Phillip Cimiano},
Booktitle = {Proceedings of the 4th Conference on Knowledge Engineering and Semantic Web},
Year = {2013},
Pages = {258-264},
Bdsk-url-1 = {http://svn.aksw.org/papers/2013/KESW_AutoSparqlTbsl_Demo/public.pdf},
Ee = {http://dx.doi.org/10.1007/978-3-642-41360-5_21},
Keywords = {group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis sys:relevantFor:geoknow ngonga topic_Search topic_Querying lehmann hoeffner 2013 autosparql tbsl buehmann},
Url = {http://svn.aksw.org/papers/2013/KESW_AutoSparqlTbsl_Demo/public.pdf}
}

2012

C. Stadler, J. Lehmann, K. Höffner, and S. Auer, “LinkedGeoData: A Core for a Web of Spatial Open Data,” Semantic Web Journal, vol. 3, iss. 4, pp. 333-354, 2012.
[BibTeX] [Download PDF]

@Article{SLHA11,
Title = {LinkedGeoData: A Core for a Web of Spatial Open Data},
Author = {Claus Stadler and Jens Lehmann and Konrad H{\"o}ffner and S{\"o}ren Auer},
Journal = {Semantic Web Journal},
Year = {2012},
Number = {4},
Pages = {333-354},
Volume = {3},
Bdsk-url-1 = {http://www.semantic-web-journal.net/sites/default/files/swj173_2.pdf},
Date-modified = {2012-12-02 13:09:43 +0000},
Keywords = {sys:relevantFor:bis sys:relevantFor:infai stadler lehmann hoeffner auer MOLE lgd 2012 group_aksw},
Owner = {stadler},
Timestamp = {2011.09.09},
Url = {http://jens-lehmann.org/files/2012/linkedgeodata2.pdf}
}

A. Ngonga Ngomo, J. Lehmann, S. Auer, and K. Höffner, “RAVEN—Towards Zero-Configuration Link Discovery,” 2012.
[BibTeX] [Download PDF]

@TechReport{raven_report,
Title = {{RAVEN}---{T}owards Zero-Configuration Link Discovery},
Author = {Axel-Cyrille {Ngonga Ngomo} and Jens Lehmann and S{\"o}ren Auer and Konrad H{\"o}ffner},
Year = {2012},
Bdsk-url-1 = {http://jens-lehmann.org/files/2012/raven_report.pdf},
Institute = {University of Leipzig},
Keywords = {2012 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann auer hoeffner scms},
Url = {http://jens-lehmann.org/files/2012/raven_report.pdf}
}

A. Ngonga Ngomo, J. Lehmann, S. Auer, and K. Höffner, “RAVEN — Towards Zero-Configuration Link Discovery,” 2012.
[BibTeX] [Download PDF]

@TechReport{NgongaNgomo2012,
Title = {RAVEN -- Towards Zero-Configuration Link Discovery},
Author = {Axel-Cyrille {Ngonga Ngomo} and Jens Lehmann and S{\"o}ren Auer and Konrad H{\"o}ffner},
Year = {2012},
Bdsk-url-1 = {http://jens-lehmann.org/files/2012/raven_report.pdf},
Institute = {University of Leipzig},
Keywords = {2012 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann auer hoeffner scms},
Timestamp = {2017.10.12},
Url = {http://jens-lehmann.org/files/2012/raven_report.pdf}
}

J. Lehmann, T. Furche, G. Grasso, A. Ngonga Ngomo, C. Schallhart, A. Sellers, C. Unger, L. Bühmann, D. Gerber, K. Höffner, D. Liu, and S. Auer, “DEQA: Deep Web Extraction for Question Answering,” in Proceedings of ISWC, 2012.
[BibTeX] [Download PDF]

@InProceedings{Lehmann2012,
Title = {DEQA: Deep Web Extraction for Question Answering},
Author = {Jens Lehmann and Tim Furche and Giovanni Grasso and Axel-Cyrille {Ngonga Ngomo} and Christian Schallhart and Andrew Sellers and Christina Unger and Lorenz B{\"u}hmann and Daniel Gerber and Konrad H{\"o}ffner and David Liu and S{\"o}ren Auer},
Booktitle = {Proceedings of ISWC},
Year = {2012},
Bdsk-url-1 = {http://jens-lehmann.org/files/2012/iswc_deqa.pdf},
Date-modified = {2012-12-02 12:51:46 +0000},
Keywords = {2012 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann gerber buehmann boa auer hoeffner limes},
Owner = {ngonga},
Timestamp = {2012.09.18},
Url = {http://jens-lehmann.org/files/2012/iswc_deqa.pdf}
}

@InProceedings{LEH+12b,
Title = {DEQA: Deep Web Extraction for {Q}uestion {A}nswering},
Author = {Jens Lehmann and Tim Furche and Giovanni Grasso and Axel-Cyrille {Ngonga Ngomo} and Christian Schallhart and Andrew Sellers and Christina Unger and Lorenz B{\"u}hmann and Daniel Gerber and Konrad H{\"o}ffner and David Liu and S{\"o}ren Auer},
Booktitle = {Proceedings of ISWC},
Year = {2012},
Bdsk-url-1 = {http://jens-lehmann.org/files/2012/iswc_deqa.pdf},
Date-modified = {2012-12-02 12:51:46 +0000},
Keywords = {2012 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann gerber buehmann boa auer hoeffner limes},
Owner = {ngonga},
Timestamp = {2012.09.18},
Url = {http://jens-lehmann.org/files/2012/iswc_deqa.pdf}
}

2011

A. Ngonga Ngomo, J. Lehmann, S. Auer, and K. Höffner, “RAVEN: Active Learning of Link Specifications,” in Proceedings of the Ontology Matching Workshop (co-located with ISWC), 2011.
[BibTeX] [Download PDF]

@InProceedings{NgongaNgomo2011,
Title = {RAVEN: Active Learning of Link Specifications},
Author = {Axel-Cyrille {Ngonga Ngomo} and Jens Lehmann and S{\"o}ren Auer and Konrad H{\"o}ffner},
Booktitle = {Proceedings of the Ontology Matching Workshop (co-located with ISWC)},
Year = {2011},
Bdsk-url-1 = {http://jens-lehmann.org/files/2011/raven.pdf},
Date-modified = {2012-12-02 13:10:38 +0000},
Keywords = {2011 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann auer hoeffner scms},
Owner = {ngonga},
Timestamp = {2011.09.12},
Url = {http://jens-lehmann.org/files/2011/raven.pdf}
}

@InProceedings{NGO+11a,
Title = {{RAVEN}: {A}ctive Learning of Link Specifications},
Author = {Axel-Cyrille {Ngonga Ngomo} and Jens Lehmann and S{\"o}ren Auer and Konrad H{\"o}ffner},
Booktitle = {Proceedings of the Ontology Matching Workshop (co-located with ISWC)},
Year = {2011},
Bdsk-url-1 = {http://jens-lehmann.org/files/2011/raven.pdf},
Date-modified = {2012-12-02 13:10:38 +0000},
Keywords = {2011 group_aksw SIMBA MOLE sys:relevantFor:infai sys:relevantFor:bis ngonga lehmann auer hoeffner scms},
Owner = {ngonga},
Timestamp = {2011.09.12},
Url = {http://jens-lehmann.org/files/2011/raven.pdf}
}

2009

M. Quasthoff, S. Hellmann, and K. Höffner, “Standardized Multilingual Language Resources for the Web of Data: http://corpora.uni-leipzig.de/rdf,” , 2009.
[BibTeX] [Download PDF]

@Other{quastoff-m-2010--a,
Title = {Standardized Multilingual Language Resources for the Web of Data: http://corpora.uni-leipzig.de/rdf},
Author = {Matthias Quasthoff and Sebastian Hellmann and Konrad H{\"o}ffner},
Bdsk-url-1 = {http://triplify.org/files/challenge_2009/languageresources.pdf},
Date-modified = {2012-12-02 13:10:26 +0000},
Keywords = {2009 hellmann kilt group_aksw MOLE sys:relevantFor:bis sys:relevantFor:infai hoeffner kilt},
Note = {3rd prize at the LOD Triplification Challenge, Graz, 2009},
Owner = {sebastian},
Timestamp = {2010.12.11},
Url = {http://triplify.org/files/challenge_2009/languageresources.pdf},
Year = {2009}
}