@inproceedings{Kim2008,
  address = {Berlin, Deutschland},
  author = {Kim, Hak Lae and Scerri, Simon and Breslin, John G. and Decker, Stefan and Kim, Hong Gee},
  booktitle = {{Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications}},
  interhash = {9c5f5af6f47a1a563dbb405c5a58a3cc},
  intrahash = {7d3c3c2189394a8686ca9812d58bfe74},
  pages = {128--137},
  publisher = {{Dublin Core Metadata Initiative}},
  title = {{The State of the Art in Tag Ontologies: A Semantic Model for Tagging and Folksonomies}},
  year = 2008
}

@inproceedings{breslin2009integrating,
  abstract = {Sensors have begun to infiltrate people's everyday lives. They can provide information about a car's condition, can enable smart buildings, and are being used in various mobile applications, to name a few. Generally, sensors provide information about various aspects of the real world. Online social networks, another emerging trend over the past six or seven years, can provide insights into the communication links and patterns between people. They have enabled novel developments in communications as well as transforming the Web from a technical infrastructure to a social platform, very much along the lines of the original Web as proposed by Tim Berners-Lee, which is now often referred to as the Social Web. In this position paper, we highlight some of the interesting research areas where sensors and social networks can fruitfully interface, from sensors providing contextual information in context-aware and personalized social applications, to using social networks as "storage infrastructures" for sensor information.},
  author = {Breslin, John G. and Decker, Stefan and Hauswirth, Manfred and Hynes, Gearoid and Phuoc, Danh Le and Passant, Alexandre and Polleres, Axel and Rabsch, Cornelius and Reynolds, Vinny},
  booktitle = {Proceedings on the W3C Workshop on the Future of Social Networking},
  interhash = {8a9846d06fcb3d48e5f081801a957565},
  intrahash = {e5286c49f4a49bb8752d473f126824dd},
  title = {Integrating Social Networks and Sensor Networks},
  url = {http://www.w3.org/2008/09/msnws/papers/sensors.html},
  year = 2009
}

@inproceedings{kim2008state,
  abstract = {There is a growing interest into how we represent and share tagging data in collaborative tagging systems. Conventional tags, meaning freely created tags that are not associated with a structured ontology, are not naturally suited for collaborative processes, due to linguistic and grammatical variations, as well as human typing errors. Additionally, tags reflect personal views of the world by individual users, and are not normalised for synonymy, morphology or any other mapping. Our view is that the conventional approach provides very limited semantic value for collaboration. Moreover, in cases where there is some semantic value, automatically sharing semantics via computer manipulations is extremely problematic. This paper explores these problems by discussing approaches for collaborative tagging activities at a semantic level, and presenting conceptual models for collaborative tagging activities and folksonomies. We present criteria for the comparison of existing tag ontologies and discuss their strengths and weaknesses in relation to these criteria.},
  author = {Kim, Hak Lae and Scerri, Simon and Breslin, John G. and Decker, Stefan and Kim, Hong Gee},
  booktitle = {DCMI '08: Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications},
  interhash = {9c5f5af6f47a1a563dbb405c5a58a3cc},
  intrahash = {cb56167e7e5e0dbfee017671064ff81e},
  location = {Berlin, Germany},
  pages = {128--137},
  publisher = {Dublin Core Metadata Initiative},
  title = {The state of the art in tag ontologies: a semantic model for tagging and folksonomies},
  url = {http://portal.acm.org/citation.cfm?id=1503418.1503431},
  year = 2008
}

@inproceedings{breslin2009integrating,
  abstract = {Sensors have begun to infiltrate people's everyday lives. They can provide information about a car's condition, can enable smart buildings, and are being used in various mobile applications, to name a few. Generally, sensors provide information about various aspects of the real world. Online social networks, another emerging trend over the past six or seven years, can provide insights into the communication links and patterns between people. They have enabled novel developments in communications as well as transforming the Web from a technical infrastructure to a social platform, very much along the lines of the original Web as proposed by Tim Berners-Lee, which is now often referred to as the Social Web. In this position paper, we highlight some of the interesting research areas where sensors and social networks can fruitfully interface, from sensors providing contextual information in context-aware and personalized social applications, to using social networks as "storage infrastructures" for sensor information.},
  author = {Breslin, John G. and Decker, Stefan and Hauswirth, Manfred and Hynes, Gearoid and Phuoc, Danh Le and Passant, Alexandre and Polleres, Axel and Rabsch, Cornelius and Reynolds, Vinny},
  booktitle = {Proceedings on the W3C Workshop on the Future of Social Networking},
  interhash = {8a9846d06fcb3d48e5f081801a957565},
  intrahash = {e5286c49f4a49bb8752d473f126824dd},
  title = {Integrating Social Networks and Sensor Networks},
  url = {http://www.w3.org/2008/09/msnws/papers/sensors.html},
  year = 2009
}

@inproceedings{breslin2009integrating,
  abstract = {Sensors have begun to infiltrate people's everyday lives. They can provide information about a car's condition, can enable smart buildings, and are being used in various mobile applications, to name a few. Generally, sensors provide information about various aspects of the real world. Online social networks, another emerging trend over the past six or seven years, can provide insights into the communication links and patterns between people. They have enabled novel developments in communications as well as transforming the Web from a technical infrastructure to a social platform, very much along the lines of the original Web as proposed by Tim Berners-Lee, which is now often referred to as the Social Web. In this position paper, we highlight some of the interesting research areas where sensors and social networks can fruitfully interface, from sensors providing contextual information in context-aware and personalized social applications, to using social networks as "storage infrastructures" for sensor information.},
  author = {Breslin, John G. and Decker, Stefan and Hauswirth, Manfred and Hynes, Gearoid and Phuoc, Danh Le and Passant, Alexandre and Polleres, Axel and Rabsch, Cornelius and Reynolds, Vinny},
  booktitle = {Proceedings on the W3C Workshop on the Future of Social Networking},
  interhash = {8a9846d06fcb3d48e5f081801a957565},
  intrahash = {e5286c49f4a49bb8752d473f126824dd},
  title = {Integrating Social Networks and Sensor Networks},
  url = {http://www.w3.org/2008/09/msnws/papers/sensors.html},
  year = 2009
}

@inproceedings{kim2007tag,
  abstract = {In this paper we give an overview of the int.ere.st for a social tagging, bookmarking, and sharing service. It is based on the SCOT ontology. The SCOT ontology can represent the structure and semantics for social tagging data and provide methods for sharing and reusing them. We describe how it enables users to participate in a semantic social tagging from functional point of view and show how int.ere.st allows users to save, tag, and search SCOT ontologies. All kinds of user contributions in the system will be exposed as RDF vocabularies that connect
them. We believe it is a good starting point to build Semantic Web based society using tagging data.
},
  author = {Kim, Hak Lae and Yang, Sung-Kwon and Song, Seung-Jae and Breslin, John G. and Kim, Hong-Gee},
  booktitle = {Proceedings of the Semantic Web Challenge 2007},
  editor = {Golbeck, Jennifer and Mika, Peter},
  interhash = {2067db51319e25598ae6c029fc691039},
  intrahash = {70220de9a66ea2818bc16a7fa5e2c7ae},
  issn = {1613-0073},
  series = {CEUR-WS.org},
  title = {Tag Mediated Society with {SCOT} Ontology},
  url = {http://ceur-ws.org/Vol-295/paper14.pdf},
  volume = 295,
  year = 2007
}

@article{kim2009,
  abstract = {Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using  tags' or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. However, there are a number of issues in relation to data sharing and interoperability when processing tag data across heterogeneous tagging platforms. In this paper we introduce a semantic tag model that aims to explicitly offer the necessary structure, semantics and relationships between tags. This approach provides an improved opportunity for representing tag data in the form of reusable constructs at a semantic level. We also demonstrate a prototype that consumes and makes use of shared tag metadata across heterogeneous sources.
},
  author = {Kim, Hak-Lae and Decker, Stefan and Breslin, John G.},
  doi = {10.1177/0165551509346785},
  interhash = {89c42bc68404f0ba2b31d120de0123b8},
  intrahash = {f114b138bcb978a1cbad72e6af8b3fe2},
  journal = {Journal of Information Science},
  pages = 0165551509346785,
  title = {{Representing and sharing folksonomies with semantics}},
  url = {http://jis.sagepub.com/cgi/content/abstract/0165551509346785v1},
  year = 2009
}

@inproceedings{DBLP:conf/esws/MollerBB06,
  author = {M{\"o}ller, Knud and Bojars, Uldis and Breslin, John G.},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  booktitle = {ESWC},
  crossref = {DBLP:conf/esws/2006},
  ee = {http://dx.doi.org/10.1007/11762256_49},
  interhash = {58b26710c917c9c612f60e79374e56e7},
  intrahash = {0759202b6491d90de6f0c137189d2699},
  pages = {679-696},
  title = {Using Semantics to Enhance the Blogging Experience.},
  year = 2006
}