@inproceedings{suchanek2007semantic,
  abstract = {We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities and 5 million facts. This includes the Is-A hierarchy as well as non-taxonomic relations between entities (such as HASONEPRIZE). The facts have been automatically extracted from Wikipedia and unified with WordNet, using a carefully designed combination of rule-based and heuristic methods described in this paper. The resulting knowledge base is a major step beyond WordNet: in <i>quality</i> by adding knowledge about individuals like persons, organizations, products, etc. with their semantic relationships - and in <i>quantity</i> by increasing the number of facts by more than an order of magnitude. Our empirical evaluation of fact correctness shows an accuracy of about 95%. YAGO is based on a logically clean model, which is decidable, extensible, and compatible with RDFS. Finally, we show how YAGO can be further extended by state-of-the-art information extraction techniques.},
  acmid = {1242667},
  address = {New York, NY, USA},
  author = {Suchanek, Fabian M. and Kasneci, Gjergji and Weikum, Gerhard},
  booktitle = {Proceedings of the 16th international conference on World Wide Web},
  doi = {10.1145/1242572.1242667},
  interhash = {1d2c2b23ce2a6754d12c4364e19c574c},
  intrahash = {84ae693c0a6dfb6d4b051b0b6dbd3668},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  numpages = {10},
  pages = {697--706},
  publisher = {ACM},
  title = {YAGO: a core of semantic knowledge},
  url = {http://doi.acm.org/10.1145/1242572.1242667},
  year = 2007
}

@book{leuf2001quick,
  address = {London},
  author = {Leuf, Bo and Cunningham, Ward},
  interhash = {7f9fb2b5bdcc9be84048552ed1ed6d04},
  intrahash = {28c210462bb61d92cbe1c4d31fe5dc30},
  isbn = {0-201-71499-X},
  month = mar,
  publisher = {Addison-Wesley},
  title = {The Wiki way: quick collaboration on the Web},
  year = 2001
}

@article{luther2008situational,
  abstract = {We study the case of integrating situational reasoning into a mobile service recommendation system. Since mobile Internet services are rapidly proliferating, finding and using appropriate services require profound service descriptions. As a consequence, for average mobile users it is nowadays virtually impossible to find the most appropriate service among the many offered. To overcome these difficulties, task navigation systems have been proposed to guide users towards best-fitting services. Our goal is to improve the user experience of such task navigation systems making them context-aware (i.e. to optimize service navigation by taking the user's situation into account). We propose the integration of a situational reasoning engine that applies classification-based inference to qualitative context elements, gathered from multiple sources and represented using ontologies. The extended task navigator enables the delivery of situation-aware recommendations in a proactive way. Initial experiments with the extended system indicate a considerable improvement of the navigator's usability. },
  author = {Luther, Marko and Fukazawa, Yusuke and Wagner, Matthias and Kurakake, Shoji},
  doi = {10.1017/S0269888907001300},
  eprint = {http://journals.cambridge.org/article_S0269888907001300},
  interhash = {c71d15a53708c45d5911e4d9c940cd99},
  intrahash = {35ebbce0abbe9bbef462e5479cb419ed},
  issn = {1469-8005},
  journal = {The Knowledge Engineering Review},
  month = feb,
  number = {Special Issue 01},
  numpages = {13},
  pages = {7--19},
  title = {Situational reasoning for task-oriented mobile service recommendation},
  url = {http://dx.doi.org/10.1017/S0269888907001300},
  volume = 23,
  year = 2008
}

@misc{weikum2011knowledge,
  author = {Weikum, Gerhard},
  interhash = {847973b9a334928684d6b4b88968867d},
  intrahash = {17076187ad6891c0cc1cdc252f3dbd80},
  month = nov,
  title = {Data and Knowledge Discovery},
  type = {expert paper},
  url = {http://151.1.219.218/6ccd3268-c29f-4f02-8442-75d9711825c0.pdf},
  year = 2011
}

@inproceedings{baader2007completing,
  abstract = {We propose an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using information provided by the knowledge base and by a domain expert. The use of techniques from Formal Concept Analysis ensures that, on the one hand, the interaction with the expert is kept to a minimum, and, on the other hand, we can show that the extended knowledge base is complete in a certain, well-defined sense.},
  acmid = {1625311},
  address = {San Francisco, CA, USA},
  author = {Baader, Franz and Ganter, Bernhard and Sertkaya, Baris and Sattler, Ulrike},
  booktitle = {Proceedings of the 20th international joint conference on Artifical intelligence},
  interhash = {8ab382f3aa141674412ba7ad33316a9b},
  intrahash = {87f98ae486014ba78690ffa314b67da8},
  location = {Hyderabad, India},
  numpages = {6},
  pages = {230--235},
  publisher = {Morgan Kaufmann Publishers Inc.},
  title = {Completing description logic knowledge bases using formal concept analysis},
  url = {http://dl.acm.org/citation.cfm?id=1625275.1625311},
  year = 2007
}