iswc.bib

@article{munkres,
 ISSN = {03684245},
 URL = {http://www.jstor.org/stable/2098689},
 author = {James Munkres},
 journal = {Journal of the Society for Industrial and Applied Mathematics},
 number = {1},
 pages = {32--38},
 publisher = {Society for Industrial and Applied Mathematics},
 title = {Algorithms for the Assignment and Transportation Problems},
 volume = {5},
 year = {1957}
}

@inproceedings{bordes2013translating,
  title={Translating embeddings for modeling multi-relational data},
  author={Bordes, Antoine and Usunier, Nicolas and Garcia-Duran, Alberto and Weston, Jason and Yakhnenko, Oksana},
  booktitle={Advances in Neural Information Processing Systems},
  pages={2787--2795},
  year={2013}
}

@inproceedings{toutanova2015observed,
  title={Observed versus latent features for knowledge base and text inference},
  author={Toutanova, Kristina and Chen, Danqi},
  booktitle={Proc. 3rd Workshop on Continuous Vector Space Models and their Compositionality},
  pages={57--66},
  year={2015},
  doi={10.18653/v1/w15-4007}
}

@article{petrucci2018expressive,
  title={Expressive ontology learning as neural machine translation},
  author={Petrucci, Giulio and Rospocher, Marco and Ghidini, Chiara},
  journal={Journal of Web Semantics},
  volume={52},
  pages={66--82},
  year={2018},
  publisher={Elsevier},
  doi={10.1016/j.websem.2018.10.002}
}

@inproceedings{li2019ontology,
  title={Ontology completion using graph convolutional networks},
  author={Li, Na and Bouraoui, Zied and Schockaert, Steven},
  booktitle={International Semantic Web Conference},
  pages={435--452},
  year={2019}
}

@article{jonker1987shortest,
  title={A shortest augmenting path algorithm for dense and sparse linear assignment problems},
  author={Jonker, Roy and Volgenant, Anton},
  journal={Computing},
  volume={38},
  number={4},
  pages={325--340},
  year={1987}
}

@article{brown2017heuristic,
  title={A heuristic for the time constrained asymmetric linear sum assignment problem},
  author={Brown, Peter and Yang, Yuedong and Zhou, Yaoqi and Pullan, Wayne},
  journal={Journal of Combinatorial Optimization},
  volume={33},
  number={2},
  pages={551--566},
  year={2017},
  publisher={Springer},
  doi={10.1007/s10878-015-9979-2}
}

@inproceedings{openke,
    title = "{O}pen{KE}: An Open Toolkit for Knowledge Embedding",
    author = "Han, Xu  and
      Cao, Shulin  and
      Lv, Xin  and
      Lin, Yankai  and
      Liu, Zhiyuan  and
      Sun, Maosong  and
      Li, Juanzi",
    booktitle = "Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    year = "2018",
    publisher = "Association for Computational Linguistics",
    doi = "10.18653/v1/D18-2024",
    pages = "139--144"
}

@article{sritha2016survey,
  title={A survey on various approaches for taxonomy construction},
  author={Sritha, S and Mathumathi, B},
  journal={Indian Journal of Innovations and Developments},
  volume={5},
  pages={6},
  year={2016}
}

@inproceedings{joinmerge,
  title={Building a concept hierarchy by hierarchical clustering with join/merge decision},
  author={Kuo, Huang-Cheng and Tsai, Tsung-Han and Jen-Peng, Huang},
  booktitle={9th Joint International Conference on Information Sciences},
  year={2006},
  organization={Atlantis Press}
}

@inproceedings{gupta2016domain,
  title={Domain ontology induction using word embeddings},
  author={Gupta, Niharika and Podder, Sanjay and Annervaz, KM and Sengupta, Shubhashis},
  booktitle={15th IEEE International Conference on Machine Learning and Applications},
  pages={115--119},
  year={2016},
  organization={IEEE},
  doi={10.1109/icmla.2016.0027}
}

@inproceedings{gargi2011large,
  title={Large-scale community detection on youtube for topic discovery and exploration},
  author={Gargi, Ullas and Lu, Wenjun and Mirrokni, Vahab and Yoon, Sangho},
  booktitle={5th International AAAI Conference on Weblogs and Social Media},
  year={2011}
}

@inproceedings{ristoski2017large,
  title={Large-scale taxonomy induction using entity and word embeddings},
  author={Ristoski, Petar and Faralli, Stefano and Ponzetto, Simone Paolo and Paulheim, Heiko},
  booktitle={Proceedings of the International Conference on Web Intelligence},
  pages={81--87},
  year={2017},
  organization={ACM},
  doi={10.1145/3106426.3106465}
}
%

@inproceedings{fu2014learning,
  title={Learning semantic hierarchies via word embeddings},
  author={Fu, Ruiji and Guo, Jiang and Qin, Bing and Che, Wanxiang and Wang, Haifeng and Liu, Ting},
  booktitle={Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics},
  volume={1},
  pages={1199--1209},
  year={2014}
}

@misc{
cochez_2017, title={{RDF2Vec} {DB}pedia uniform embeddings}, DOI={10.5281/zenodo.1318146}, 
abstractNote={<p>This dataset contains the vectors from computing RDF2vec embeddings from a uniformly weighted DBpedia 2016-04 graph.</p> <p>For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector.</p> <p>The parameter settings for the embedding are as specified in the paper:</p> <p>Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Biased graph walks for RDF graph embeddings. In <em>Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics</em> (WIMS &#39;17). ACM, New York, NY, USA, Article 21, 12 pages. DOI: https://doi.org/10.1145/3102254.3102279</p>}, publisher={Zenodo}, 
author={Cochez, Michael and Ristoski, Petar and Ponzetto, Simone Paulo and Paulheim, Heiko}, 
year={2017}
}


@inproceedings{kemp2006learning,
  title={Learning systems of concepts with an infinite relational model},
  author={Kemp, Charles and Tenenbaum, Joshua B and Griffiths, Thomas L and Yamada, Takeshi and Ueda, Naonori},
  booktitle={Proc. AAAI},
  volume={3},
  pages={5},
  year={2006}
}

@inproceedings{nickel2011learning,
  title={Learning taxonomies from multi-relational data via hierarchical link-based clustering},
  author={Nickel, Maximilian and Tresp, Volker},
  booktitle={Learning Semantics. Workshop at NIPS},
  volume={11},
  year={2011}
}

@article{wong2012ontology,
  title={Ontology learning from text: A look back and into the future},
  author={Wong, Wilson and Liu, Wei and Bennamoun, Mohammed},
  journal={ACM Computing Surveys},
  volume={44},
  number={4},
  pages={20},
  year={2012},
  publisher={ACM}
}

@inproceedings{volker2011statistical,
  title={Statistical schema induction},
  author={V{\"o}lker, Johanna and Niepert, Mathias},
  booktitle={Extended Semantic Web Conference},
  pages={124--138},
  year={2011},
  organization={Springer}
}

@inproceedings{faralli2017contrastmedium,
  title={The {ContrastMedium} algorithm: Taxonomy induction from noisy knowledge graphs with just a few links},
  author={Faralli, Stefano and Panchenko, Alexander and Biemann, Chris and Ponzetto, Simone Paolo},
  booktitle={Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  pages={590--600},
  volume={1},
  year={2017},
  hidedoi={10.18653/v1/e17-1056}
}


@article{asim2018survey,
  title={A survey of ontology learning techniques and applications},
  author={Asim, Muhammad Nabeel and Wasim, Muhammad and Khan, Muhammad Usman Ghani and Mahmood, Waqar and Abbasi, Hafiza Mahnoor},
  journal={Database},
  year={2018},
  publisher={Narnia},
  doi={10.1093/database/bay101}
}

@article{de2013domain,
  title={Domain taxonomy learning from text: The subsumption method versus hierarchical clustering},
  author={De Knijff, Jeroen and Frasincar, Flavius and Hogenboom, Frederik},
  journal={Data \& Knowledge Engineering},
  volume={83},
  pages={54--69},
  year={2013},
  publisher={Elsevier}
}
@incollection{NIPS2017_7213,
title = {Poincar\'{e} Embeddings for Learning Hierarchical Representations},
author = {Nickel, Maximillian and Kiela, Douwe},
booktitle = {Advances in Neural Information Processing Systems 30},
pages = {6338--6347},
year = {2017},
publisher = {Curran Associates, Inc.}
}

@inproceedings{nickel2018learning,
  title={Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry},
  author={Maximilian Nickel and Douwe Kiela},
  booktitle={Proc. ICML},
  year={2018}
}

@article{lehmann2009dl,
  title={{DL}-Learner: learning concepts in description logics},
  author={Lehmann, Jens},
  journal={Journal of Machine Learning Research},
  volume={10},
  pages={2639--2642},
  year={2009}
}

@incollection{COHEN1994121,
title = "Learning the CLASSIC Description Logic: Theoretical and Experimental Results",
editor = "Jon Doyle and Erik Sandewall and Pietro Torasso",
booktitle = "Principles of Knowledge Representation and Reasoning",
publisher = "Morgan Kaufmann",
pages = "121 - 133",
year = "1994",
series = "The Morgan Kaufmann Series in Representation and Reasoning",
issn = "10469567",
doi = "https://doi.org/10.1016/B978-1-4832-1452-8.50108-1",
url = "http://www.sciencedirect.com/science/article/pii/B9781483214528501081",
author = "William W. Cohen and Haym Hirsh",
abstract = "We present a series of theoretical and experimental results on the learnability of description logics. We first extend previous formal learnability results on simple description logics to C-CLASSIC, a description logic expressive enough to be practically useful. We then experimentally evaluate two extensions of a learning algorithm suggested by the formal analysis. The first extension learns C-CLASSIC descriptions from individuals. (The formal results assume that examples are themselves descriptions.) The second extension learns disjunctions of C-CLASSIC descriptions from individuals. The experiments, which were conducted using several hundred target concepts from a number of domains, indicate that both extensions reliably learn complex natural concepts."
}

@inproceedings{Cohen1994LearningTC,
  title={Learning the Classic Description Logic: Theoretical and Experimental Results},
  author={William W. Cohen and Haym Hirsh},
  booktitle={KR},
  year={1994}
}

@article{aho1972transitive,
  title={The transitive reduction of a directed graph},
  author={Aho, Alfred V. and Garey, Michael R and Ullman, Jeffrey D.},
  journal={SIAM Journal on Computing},
  volume={1},
  number={2},
  pages={131--137},
  year={1972},
  publisher={SIAM}
}

@inproceedings{wu2008automatically,
  title={Automatically refining the wikipedia infobox ontology},
  author={Wu, Fei and Weld, Daniel S},
  booktitle={Proc. 17th International Conference on World Wide Web},
  pages={635--644},
  year={2008},
  organization={ACM}
}

@inproceedings{sertkaya2009ontocomp,
  title={Ontocomp: A protege plugin for completing {OWL} ontologies},
  author={Sertkaya, Bar{\i}{\c{s}}},
  booktitle={European Semantic Web Conference},
  pages={898--902},
  year={2009},
  organization={Springer}
}

@inproceedings{kozareva2010semi,
  title={A semi-supervised method to learn and construct taxonomies using the web},
  author={Kozareva, Zornitsa and Hovy, Eduard},
  booktitle={Proceedings of the 2010 conference on Empirical Methods in Natural Language Processing},
  pages={1110--1118},
  year={2010},
  organization={ACL}
}

@inproceedings{zafar2016using,
  title={Using distributional semantics for automatic taxonomy induction},
  author={Zafar, Bushra and Cochez, Michael and Qamar, Usman},
  booktitle={Proc. 2016 International Conference on Frontiers of Information Technology},
  pages={348--353},
  year={2016},
  organization={IEEE},
  doi={10.1109/fit.2016.070}
}

@inproceedings{hearst1992automatic,
  title={Automatic acquisition of hyponyms from large text corpora},
  author={Hearst, Marti A},
  booktitle={Proceedings of the 14th conference on Computational Linguistics},
  volume={2},
  pages={539--545},
  year={1992},
  organization={ACL}
}


@inproceedings{complex,
  title={Complex embeddings for simple link prediction},
  author={Trouillon, Th{\'e}o and Welbl, Johannes and Riedel, Sebastian and Gaussier, {\'E}ric and Bouchard, Guillaume},
  year={2016},
  booktitle={Proc. International Conference on Machine Learning}
}

@inproceedings{ristoski2016rdf2vec,
  title={Rdf2vec: {RDF} graph embeddings for data mining},
  author={Ristoski, Petar and Paulheim, Heiko},
  booktitle={International Semantic Web Conference},
  pages={498--514},
  year={2016},
  organization={Springer}
}

@inproceedings{mikolov2013distributed,
  title={Distributed representations of words and phrases and their compositionality},
  author={Mikolov, Tomas and Sutskever, Ilya and Chen, Kai and Corrado, Greg S and Dean, Jeff},
  booktitle={Advances in Neural Information Processing Systems},
  pages={3111--3119},
  year={2013}
}

@inproceedings{distmult,
  author    = {Bishan Yang and
               Wen{-}tau Yih and
               Xiaodong He and
               Jianfeng Gao and
               Li Deng},
  title     = {Embedding Entities and Relations for Learning and Inference in Knowledge
               Bases},
  booktitle = {Proc. 3rd International Conference on Learning Representations},
  year      = {2015}
}