@misc{hamasaki2007ontology,
  abstract = {This paper proposes integration of a social network with the tripartite model of ontologies by P. Mika. That model is based on three dimensions, i.e. actors, concepts and instances, and illustrates ontology emergence using actor-concept and conceptinstance relations. However, another important ingredient is the actor-actor relation. For example, a vocabulary is sometimes shared within a community, which consists of dense relations among persons. Through considering of who knows whom (as described in FOAF) and who collaborates with whom, the extracted ontology might be improved. We propose an advanced model based on Mika’s work, and describe a case study using the model. We show an application of an extracted ontology for information recommendation for academic conferences.},
  author = {Hamasaki, Masahiro and Matsuo, Yutaka and Nisimura, T.},
  booktitle = {International Workshop on Semantic Web for Collaborative Knowledge Acquisition (SWECKA2007)},
  file = {hamasaki2007ontology.pdf:hamasaki2007ontology.pdf:PDF},
  groups = {public},
  interhash = {4a452a28251de436b241f42ee3ac9c32},
  intrahash = {fad2913a06c8cb158a69a80e3dcbdecd},
  timestamp = {2011-02-17 11:03:58},
  title = {Ontology Extraction using Social Network},
  url = {http://staff.aist.go.jp/masahiro.hamasaki/index-e.html},
  username = {dbenz},
  year = 2007
}

@inproceedings{Bollegala07semanticSearch,
  address = {New York, NY, USA},
  author = {Bollegala, Danushka and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242675},
  interhash = {46247eb09b5e87a6e5d4a8b2cf821ee7},
  intrahash = {c957aa2fd65df63c8c4af14b1fc827c5},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {757--766},
  publisher = {ACM},
  title = {Measuring semantic similarity between words using web search engines},
  year = 2007
}

@inproceedings{bollegala2007measuring,
  address = {New York, NY, USA},
  author = {Bollegala, Danushka and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {WWW '07: Proceedings of the 16th international conference on World Wide Web},
  doi = {http://doi.acm.org/10.1145/1242572.1242675},
  file = {:bollegala2007measuring.pdf:PDF},
  interhash = {46247eb09b5e87a6e5d4a8b2cf821ee7},
  intrahash = {c957aa2fd65df63c8c4af14b1fc827c5},
  isbn = {978-1-59593-654-7},
  location = {Banff, Alberta, Canada},
  pages = {757--766},
  publisher = {ACM},
  title = {Measuring semantic similarity between words using web search engines},
  url = {http://www2007.org/papers/paper632.pdf},
  year = 2007
}

@inproceedings{mori2006extracting,
  abstract = {Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extraction of social networks. However, most methods have addressed extraction of the strength of relations. Our goal is extracting the underlying relations between entities that are embedded in social networks. To this end, we propose a method that automatically extracts labels that describe relations among entities. Fundamentally, the method clusters similar entity pairs according to their collective contexts in Web documents. The descriptive labels for relations are obtained from results of clustering. The proposed method is entirely unsupervised and is easily incorporated into existing social network extraction methods. Our method also contributes to ontology population by elucidating relations between instances in social networks. Our experiments conducted on entities in political social networks achieved clustering with high precision and recall. We extracted appropriate relation labels to represent the entities.},
  author = {Mori, Junichiro and Tsujishita, Takumi and Matsuo, Yutaka and Ishizuka, Mitsuru},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {International Semantic Web Conference},
  crossref = {DBLP:conf/semweb/2006},
  ee = {http://dx.doi.org/10.1007/11926078_35},
  file = {mori2006extracting.pdf:mori2006extracting.pdf:PDF},
  groups = {public},
  interhash = {457973d894180bd95e99bb6f7bb5cbc5},
  intrahash = {f1a145a60c3e4d39e91b39a7c1178110},
  pages = {487-500},
  timestamp = {2009-06-01 15:32:20},
  title = {Extracting Relations in Social Networks from the Web Using Similarity Between Collective Contexts},
  username = {dbenz},
  year = 2006
}

@inproceedings{jin:07:eswc,
  author = {Jin, YingZi and Matsuo, Yutaka and Ishizuka, Mitsuru},
  booktitle = {Proceedings of the European Semantic Web Conference, ESWC2007},
  editor = {Franconi, Enrico and Kifer, Michael and May, Wolfgang},
  interhash = {cbac61a5d054dbb3d53798e85466464d},
  intrahash = {69e2126f99c29bda2c747bf6aceaaa8f},
  month = {July},
  publisher = {Springer-Verlag},
  series = {Lecture Notes in Computer Science},
  title = {{Extracting Social Networks among Various Entities on the Web}},
  url = {http://www.eswc2007.org/pdf/eswc07-jin.pdf},
  volume = 4519,
  year = 2007
}