@inproceedings{Hyvönen/2007/HealthFinland,
  abstract = {This paper shows how semantic web techniques can be applied to solving problems of distributed content creation, discovery, linking, aggregation, and reuse in health information portals, both from end-user’s and content publishers’s viewpoints. As a case study, the national semantic health portal HEALTHFINLAND is presented. It provides citizens with intelligent searching and browsing services to reliable and up-to-date health information created by various health organizations in Finland. The system is based on a shared semantic metadata schema, ontologies, and mash-up ontology services. The content includes metadata of thousands of web documents such as web pages, articles, reports, campaign information, news, services, and other information related to health.},
  added-at = {2007-11-07T19:13:58.000+0100},
  address = {Berlin, Heidelberg},
  author = {Hyvönen, Eero and Viljanen, Kim and Suominen, Osma},
  biburl = {http://www.bibsonomy.org/bibtex/2989cf1f72748e60b71e70c0803ca8a5c/iswc2007},
  booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
  crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
  editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
  interhash = {c74f89761f6a115ab5786e39deb2c594},
  intrahash = {989cf1f72748e60b71e70c0803ca8a5c},
  keywords = {2007 finnish health in_use_2 information iswc},
  month = {November},
  pages = {771--784},
  publisher = {Springer Verlag},
  series = {LNCS},
  timestamp = {2007-11-07T19:13:58.000+0100},
  title = {HealthFinland - Finnish Health Information on the SemanticWeb},
  url = {http://iswc2007.semanticweb.org/papers/771.pdf},
  volume = 4825,
  year = 2007
}

@inproceedings{Srinivas/2007/Matching,
  abstract = {This paper describes a large case study that explores the applicability of ontology reasoning to problems in the medical domain. We investigate whether it is possible to use such reasoning to automate common clinical tasks that are currently labor intensive and error prone, and focus our case study on improving cohort selection for clinical trials.  An obstacle to automating such clinical tasks is the need to bridge the semantic gulf between raw patient data, such as laboratory tests or specific medications, and the way a clinician interprets this data. Our key insight is that matching patients to clinical trials can be formulated as a problem of semantic retrieval. We describe the technical challenges to building a realistic case study, which include problems related to scalability, the integration of large ontologies, and dealing with noisy, inconsistent data. Our solution is based on the SNOMED CT ontology, and scales to one year of patient records (approx. 240,000 patients).},
  added-at = {2007-11-07T19:13:58.000+0100},
  address = {Berlin, Heidelberg},
  author = {Srinivas, Kavitha and Patel, Chintan and Cimino, James and Ma, Li and Dolby, Julian and Fokoue, Achille and Kalyanpur, Aditya and Kershenbaum, Aaron and Schonberg, Edith},
  biburl = {http://www.bibsonomy.org/bibtex/24e19935df46a5112bb2497ad87d8a3b4/iswc2007},
  booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
  crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
  editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
  interhash = {08ca10184b9c16e8ab9de3c9dfea9032},
  intrahash = {4e19935df46a5112bb2497ad87d8a3b4},
  keywords = {2007 clinical health in_use_2 iswc matching ontology ontology_(computer_science) patient pharmaceuticals record semantic_web trial using},
  month = {November},
  pages = {809--822},
  publisher = {Springer Verlag},
  series = {LNCS},
  timestamp = {2007-11-07T19:13:58.000+0100},
  title = {Matching Patient Records to Clinical Trials Using Ontologies},
  url = {http://iswc2007.semanticweb.org/papers/809.pdf},
  volume = 4825,
  year = 2007
}

@inproceedings{Alani/2007/Unlocking,
  abstract = {Governments often hold very rich data and whilst much of this information is published and available for re-use by others, it is often trapped by poor data structures, locked up in legacy data formats or in fragmented databases. One of the great benefits that Semantic Web (SW) technology offers is facilitating the large scale integration and sharing of distributed data sources. At the heart of information policy in the UK, the Office of Public Sector Information (OPSI) is the part of the UK government charged with enabling the greater re-use of public sector information. This paper describes the actions, findings, and lessons learnt from a pilot study, involving several parts of government and the public sector. The aim was to show to government how they can adopt SW technology for the dissemination, sharing and use of its data.},
  added-at = {2007-11-07T19:13:58.000+0100},
  address = {Berlin, Heidelberg},
  author = {Alani, Harith and Dupplaw, David and Sheridan, John and O'Hara, Kieron and Darlington, John and Shadbolt, Nigel and Tullo, Carol},
  biburl = {http://www.bibsonomy.org/bibtex/204326d34187a097cb2fcf2db0fef3cfc/iswc2007},
  booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
  crossref = {http://data.semanticweb.org/conference/iswc-aswc/2007/proceedings},
  editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
  interhash = {afccebf1b344829899e845fcdad32467},
  intrahash = {04326d34187a097cb2fcf2db0fef3cfc},
  keywords = {2007 in_use_2 information iswc potential public public_sector sector semantic semantic_web technology web},
  month = {November},
  pages = {701--714},
  publisher = {Springer Verlag},
  series = {LNCS},
  timestamp = {2007-11-07T19:13:58.000+0100},
  title = {Unlocking the Potential of Public Sector Information with Semantic Web Technology},
  url = {http://iswc2007.semanticweb.org/papers/701.pdf},
  volume = 4825,
  year = 2007
}