@inproceedings{conf/rcis/Bachlechner08,
	title = {Toward a Semantic Web service technology roadmap.},
	author = {Daniel Bachlechner},
	booktitle = {RCIS},
	crossref = {conf/rcis/2008},
	editor = {Oscar Pastor and André Flory and Jean-Louis Cavarero},
	pages = {17-28},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/rcis/rcis2008.html#Bachlechner08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/21d09e75ac5367df59e84dc9e1936467f/dblp},
	description = {dblp},
	date = {2008-12-27}, ee = {http://dx.doi.org/10.1109/RCIS.2008.4632089}, isbn = {978-1-4244-1677-6},
	keywords = {dblp }
}

@inproceedings{conf/icmcs/PranglBH07,
	title = {A Hybrid Recommender Strategy for Personalized Utility-Based Cross-Modal Multimedia Adaptation.},
	author = {Martin Prangl and Roland Bachlechner and Hermann Hellwagner},
	booktitle = {ICME},
	crossref = {conf/icmcs/2007},
	pages = {1707-1710},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/icmcs/icme2007.html#PranglBH07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2bf5bb91a1a2da1ed9cbc2d3a0550dc2d/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1109/ICME.2007.4284998}, date = {2008-08-22},
	keywords = {dblp }
}

@inproceedings{conf/iceis/Bachlechner08,
	title = {Integration Architectures Based on Semantic Web Services: Fad or Model for the Future? - Findings of a Comprehensive SWOT Analysis.},
	author = {Daniel Bachlechner},
	booktitle = {ICEIS (4)},
	crossref = {conf/iceis/2008-4},
	editor = {José Cordeiro and Joaquim Filipe},
	pages = {45-52},
	url = {http://dblp.uni-trier.de/db/conf/iceis/iceis2008-4.html#Bachlechner08},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/2f04b3bd5872df02cb212c0413eb6c835/dblp},
	description = {dblp},
	isbn = {978-989-8111-39-5}, date = {2008-08-13},
	keywords = {dblp }
}

@article{journals/internet/HeppSB07,
	title = {Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management.},
	author = {Martin Hepp and Katharina Siorpaes and Daniel Bachlechner},
	journal = {IEEE Internet Computing},
	number = {5},
	pages = {54-65},
	url = {http://dblp.uni-trier.de/db/journals/internet/internet11.html#HeppSB07},
	volume = {11},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2f95cde842200e2dab78e42511a784f6c/enterldestodes},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.110}, date = {2007-11-08},
	keywords = {ontology wiki }
}

@inproceedings{1149487,
	title = {OntoWiki: community-driven ontology engineering and ontology usage based on Wikis},
	address = {New York, NY, USA},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {WikiSym '06: Proceedings of the 2006 international symposium on Wikis},
	pages = {143--144},
	publisher = {ACM},
	url = {http://portal.acm.org/citation.cfm?id=1149453.1149487},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2cd09708ccc5ebf2b28b7a38e81b39ccd/enterldestodes},
	description = {OntoWiki},
	abstract = {Ontologies are consensual representations of a domain of discourse and the backbone of the future Semantic Web. Currently, however, only a fraction of Web users can take part in the process of building ontologies. In this paper, we show that standard Wiki technology can be used as an ontology development platform, reducing entry barriers for the participation of users in the creation and maintenance of ontologies, and describe our first OntoWiki prototype.},
	location = {Odense, Denmark}, isbn = {1-59593-413-8}, doi = {http://doi.acm.org/10.1145/1149453.1149487},
	keywords = {ontology ontologybuilding p:diss wiki }
}

@article{journals/internet/HeppSB07,
	title = {Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management.},
	author = {Martin Hepp and Katharina Siorpaes and Daniel Bachlechner},
	journal = {IEEE Internet Computing},
	number = {5},
	pages = {54-65},
	url = {http://dblp.uni-trier.de/db/journals/internet/internet11.html#HeppSB07},
	volume = {11},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2f95cde842200e2dab78e42511a784f6c/wernerino},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.110}, date = {2007-11-08},
	keywords = {wikipedia }
}

@article{journals/internet/HeppSB07,
	title = {Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management.},
	author = {Martin Hepp and Katharina Siorpaes and Daniel Bachlechner},
	journal = {IEEE Internet Computing},
	number = {5},
	pages = {54-65},
	url = {http://dblp.uni-trier.de/db/journals/internet/internet11.html#HeppSB07},
	volume = {11},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2f95cde842200e2dab78e42511a784f6c/kweller},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.110}, date = {2007-11-08},
	keywords = {toread }
}

@book{Hepp2006,
	title = {2005 demos: OntoWiki: community-driven ontology engineering and ontology usage based on Wikis},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/29dcc7e86ec8d3026bf062daf5bf50c4d/jpsdias},
	keywords = {semantic_web }
}

@article{hepp:hwc,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
	author = {M. Hepp and D. Bachlechner and K. Siorpaes},
	journal = {First Workshop on Semantic Wikis},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2fda680dad39a25c7d11fcbac45075a3c/brightbyte},
	priority = {3}, citeulike-article-id = {2157097},
	keywords = {ontology semantic wikipedia }
}

@inproceedings{tx_deriinproceedings_list_uid142,
	title = {Towards the Semantic Web in e-Tourism: Lack of Semantics or Lack of Content?},
	address = {Budva, Montenegro},
	author = {Martin Hepp and Katharina Siorpaes and Daniel Bachlechner},
	booktitle = {Poster Proceedings of the 3rd Annual European Semantic Web Conference (ESWC 2006)},
	month = {June},
	url = {http://www.heppnetz.de/files/eTourism-poster-eswc2006.pdf},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/264c32a104280bde656bfc109041816eb/berrueta},
	keywords = {2006 deri eswc etourism turruta-eswc2008 }
}

@inproceedings{Hepp:2006:HWC,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki to Semantics, co-located with the 3rd Annual European Semantic Web Conference (ESWC 2006)},
	crossref = {SemWiki2006-proceedings},
	editor = {Max Völkel and Sebastian Schaffert},
	month = {June},
	publisher = {ESWC2006},
	series = {Workshop on Semantic Wikis},
	url = {http://semwiki.org/semwiki2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/243fb6ad1e97a2d664eee1e7df6634ea1/berrueta},
	abstract = {One major obstacle towards adding machine-readable annotation to
	
	 existing Web content is the lack of domain ontologies. While FOAF
	and Dublin
	
	 Core are popular means for expressing relationships between Web resources
	
	 and between Web resources and literal values, we widely lack unique
	identifiers
	
	 for common concepts and instances. Also, most available ontologies
	have a
	
	 very weak community grounding in the sense that they are designed
	by single
	
	 individuals or small groups of individuals, while the majority of
	potential users
	
	 is not involved in the process of proposing new ontology elements
	or achieving
	
	 consensus. This is in sharp contrast to natural language where the
	evolution of
	
	 the vocabulary is under the control of the user community. At the
	same time,
	
	 we can observe that, within Wiki communities, especially Wikipedia,
	a large
	
	 number of users is able to create comprehensive domain representations
	in the
	
	 sense of unique, machine-feasible, identifiers and concept definitions
	which are
	
	 sufficient for humans to grasp the intension of the concepts. The
	English
	
	 version of Wikipedia contains now more than one million entries and
	thus the
	
	 same amount of URIs plus a human-readable description. While this
	collection
	
	 is on the lower end of ontology expressiveness, it is likely the
	largest living
	
	 ontology that is available today. In this paper, we (1) show that
	standard Wiki
	
	 technology can be easily used as an ontology development environment
	for
	
	 named classes, reducing entry barriers for the participation of users
	in the
	
	 creation and maintenance of lightweight ontologies, (2) prove that
	the URIs of
	
	 Wikipedia entries are surprisingly reliable identifiers for ontology
	concepts, and
	
	 (3) demonstrate the applicability of our approach in a use case.},
	owner = {voelkel}, timestamp = {2006.06.14},
	keywords = {2006 ezweb folksonomy ontology wikipedia }
}

@article{journals/internet/HeppSB07,
	title = {Harvesting Wiki Consensus: Using Wikipedia Entries as Vocabulary for Knowledge Management.},
	author = {Martin Hepp and Katharina Siorpaes and Daniel Bachlechner},
	journal = {IEEE Internet Computing},
	number = {5},
	pages = {54-65},
	url = {http://dblp.uni-trier.de/db/journals/internet/internet11.html#HeppSB07},
	volume = {11},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2f95cde842200e2dab78e42511a784f6c/dblp},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.110}, date = {2007-11-08},
	keywords = {dblp }
}

@inproceedings{conf/semwiki/HeppBS06,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements.},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {SemWiki},
	crossref = {conf/semwiki/2006},
	editor = {Max Völkel and Sebastian Schaffert},
	publisher = {CEUR-WS.org},
	series = {CEUR Workshop Proceedings},
	url = {http://dblp.uni-trier.de/db/conf/semwiki/semwiki2006.html#HeppBS06},
	volume = {206},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2fe6c5191b1c582c0fab70ce8c5246f02/dblp},
	description = {dblp},
	ee = {http://www.ceur-ws.org/Vol-206/paper10.pdf}, date = {2007-10-31},
	keywords = {dblp }
}

@techreport{citeulike:816072,
	title = {Web Service Discovery–A Reality Check},
	author = {Daniel Bachlechner and Katharina Siorpaes and Dieter Fensel and Ioan Toma},
	organization = {DERI},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2ea18ce2ab87bacb4705f85e8b46aeac7/yijunyu},
	priority = {2}, citeulike-article-id = {816072},
	keywords = {discovery services web }
}

@inproceedings{Hepp:2006:HWC,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
	crossref = {SemWiki2006-proceedings},
	editor = {Max V\"{o}lkel and Sebastian Schaffert},
	month = {June},
	publisher = {ESWC2006},
	series = {Workshop on Semantic Wikis},
	url = {http://semwiki.org/semwiki2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/jaeschke},
	description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS},
	abstract = {One major obstacle towards adding machine-readable annotation to
	
	 existing Web content is the lack of domain ontologies. While FOAF
	and Dublin
	
	 Core are popular means for expressing relationships between Web resources
	
	 and between Web resources and literal values, we widely lack unique
	identifiers
	
	 for common concepts and instances. Also, most available ontologies
	have a
	
	 very weak community grounding in the sense that they are designed
	by single
	
	 individuals or small groups of individuals, while the majority of
	potential users
	
	 is not involved in the process of proposing new ontology elements
	or achieving
	
	 consensus. This is in sharp contrast to natural language where the
	evolution of
	
	 the vocabulary is under the control of the user community. At the
	same time,
	
	 we can observe that, within Wiki communities, especially Wikipedia,
	a large
	
	 number of users is able to create comprehensive domain representations
	in the
	
	 sense of unique, machine-feasible, identifiers and concept definitions
	which are
	
	 sufficient for humans to grasp the intension of the concepts. The
	English
	
	 version of Wikipedia contains now more than one million entries and
	thus the
	
	 same amount of URIs plus a human-readable description. While this
	collection
	
	 is on the lower end of ontology expressiveness, it is likely the
	largest living
	
	 ontology that is available today. In this paper, we (1) show that
	standard Wiki
	
	 technology can be easily used as an ontology development environment
	for
	
	 named classes, reducing entry barriers for the participation of users
	in the
	
	 creation and maintenance of lightweight ontologies, (2) prove that
	the URIs of
	
	 Wikipedia entries are surprisingly reliable identifiers for ontology
	concepts, and
	
	 (3) demonstrate the applicability of our approach in a use case.},
	owner = {voelkel}, timestamp = {2006.06.14},
	keywords = {iccs_example ontology semantic trias_example web wiki wikipedia }
}

@inproceedings{conf/wikis/HeppBS05,
	title = {OntoWiki: community-driven ontology engineering and ontology usage based on Wikis.},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Int. Sym. Wikis},
	crossref = {conf/wikis/2006},
	editor = {Dirk Riehle and James Noble},
	pages = {143-144},
	publisher = {ACM},
	url = {http://dblp.uni-trier.de/db/conf/wikis/wikis2006.html#HeppBS05},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/26b440857bd426121375599611dbcbeb9/dblp},
	description = {dblp},
	ee = {http://doi.acm.org/10.1145/1149453.1149487}, isbn = {1-59593-413-8}, date = {2007-01-23},
	keywords = {dblp }
}

@inproceedings{Hepp_et_al_2006,
	title = {OntoWiki: community-driven ontology engineering and ontology usage based on Wikis},
	address = {New York, NY, USA},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {WikiSym '06: Proceedings of the 2006 international symposium on Wikis},
	pages = {143--144},
	publisher = {ACM Press},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2cd09708ccc5ebf2b28b7a38e81b39ccd/bluedolphin},
	description = {OntoWiki},
	doi = {http://doi.acm.org/10.1145/1149453.1149487}, isbn = {1-59593-413-8}, location = {Odense, Denmark},
	keywords = {collaboration ontology semantic_web social_software wiki }
}

@inproceedings{Hepp:2006:HWC,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
	crossref = {SemWiki2006-proceedings},
	editor = {Max V\"{o}lkel and Sebastian Schaffert},
	month = {June},
	publisher = {ESWC2006},
	series = {Workshop on Semantic Wikis},
	url = {http://semwiki.org/semwiki2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/lysander07},
	description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS},
	abstract = {One major obstacle towards adding machine-readable annotation to
	
	 existing Web content is the lack of domain ontologies. While FOAF
	and Dublin
	
	 Core are popular means for expressing relationships between Web resources
	
	 and between Web resources and literal values, we widely lack unique
	identifiers
	
	 for common concepts and instances. Also, most available ontologies
	have a
	
	 very weak community grounding in the sense that they are designed
	by single
	
	 individuals or small groups of individuals, while the majority of
	potential users
	
	 is not involved in the process of proposing new ontology elements
	or achieving
	
	 consensus. This is in sharp contrast to natural language where the
	evolution of
	
	 the vocabulary is under the control of the user community. At the
	same time,
	
	 we can observe that, within Wiki communities, especially Wikipedia,
	a large
	
	 number of users is able to create comprehensive domain representations
	in the
	
	 sense of unique, machine-feasible, identifiers and concept definitions
	which are
	
	 sufficient for humans to grasp the intension of the concepts. The
	English
	
	 version of Wikipedia contains now more than one million entries and
	thus the
	
	 same amount of URIs plus a human-readable description. While this
	collection
	
	 is on the lower end of ontology expressiveness, it is likely the
	largest living
	
	 ontology that is available today. In this paper, we (1) show that
	standard Wiki
	
	 technology can be easily used as an ontology development environment
	for
	
	 named classes, reducing entry barriers for the participation of users
	in the
	
	 creation and maintenance of lightweight ontologies, (2) prove that
	the URIs of
	
	 Wikipedia entries are surprisingly reliable identifiers for ontology
	concepts, and
	
	 (3) demonstrate the applicability of our approach in a use case.},
	owner = {voelkel}, timestamp = {2006.06.14},
	keywords = {eswc2006 semantic semwiki2006 swikig wiki }
}

@inproceedings{Hepp:2006:HWC,
	title = {Harvesting Wiki Consensus -- Using Wikipedia Entries as Ontology Elements},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
	crossref = {SemWiki2006-proceedings},
	editor = {Max V\"{o}lkel and Sebastian Schaffert},
	month = {June},
	publisher = {ESWC2006},
	series = {Workshop on Semantic Wikis},
	url = {http://semwiki.org/semwiki2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/langec},
	description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS},
	abstract = {One major obstacle towards adding machine-readable annotation to
	
	 existing Web content is the lack of domain ontologies. While FOAF
	and Dublin
	
	 Core are popular means for expressing relationships between Web resources
	
	 and between Web resources and literal values, we widely lack unique
	identifiers
	
	 for common concepts and instances. Also, most available ontologies
	have a
	
	 very weak community grounding in the sense that they are designed
	by single
	
	 individuals or small groups of individuals, while the majority of
	potential users
	
	 is not involved in the process of proposing new ontology elements
	or achieving
	
	 consensus. This is in sharp contrast to natural language where the
	evolution of
	
	 the vocabulary is under the control of the user community. At the
	same time,
	
	 we can observe that, within Wiki communities, especially Wikipedia,
	a large
	
	 number of users is able to create comprehensive domain representations
	in the
	
	 sense of unique, machine-feasible, identifiers and concept definitions
	which are
	
	 sufficient for humans to grasp the intension of the concepts. The
	English
	
	 version of Wikipedia contains now more than one million entries and
	thus the
	
	 same amount of URIs plus a human-readable description. While this
	collection
	
	 is on the lower end of ontology expressiveness, it is likely the
	largest living
	
	 ontology that is available today. In this paper, we (1) show that
	standard Wiki
	
	 technology can be easily used as an ontology development environment
	for
	
	 named classes, reducing entry barriers for the participation of users
	in the
	
	 creation and maintenance of lightweight ontologies, (2) prove that
	the URIs of
	
	 Wikipedia entries are surprisingly reliable identifiers for ontology
	concepts, and
	
	 (3) demonstrate the applicability of our approach in a use case.},
	owner = {voelkel}, timestamp = {2006.06.14},
	keywords = {eswc2006 semantic semwiki2006 swikig wiki }
}

@inproceedings{Hepp:2006:HWC,
	title = {Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements},
	author = {Martin Hepp and Daniel Bachlechner and Katharina Siorpaes},
	booktitle = {Proceedings of the First Workshop on Semantic Wikis -- From Wiki
	To Semantics},
	crossref = {SemWiki2006-proceedings},
	editor = {Max V\"{o}lkel and Sebastian Schaffert},
	month = {June},
	publisher = {ESWC2006},
	series = {Workshop on Semantic Wikis},
	url = {http://semwiki.org/semwiki2006},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2d120c5c498e9cec5ce2934537c58978f/xamde},
	description = {All references containing the term "wiki" from the bibtex files of papers on the SemWiki2006 WS},
	abstract = {One major obstacle towards adding machine-readable annotation to
	
	 existing Web content is the lack of domain ontologies. While FOAF
	and Dublin
	
	 Core are popular means for expressing relationships between Web resources
	
	 and between Web resources and literal values, we widely lack unique
	identifiers
	
	 for common concepts and instances. Also, most available ontologies
	have a
	
	 very weak community grounding in the sense that they are designed
	by single
	
	 individuals or small groups of individuals, while the majority of
	potential users
	
	 is not involved in the process of proposing new ontology elements
	or achieving
	
	 consensus. This is in sharp contrast to natural language where the
	evolution of
	
	 the vocabulary is under the control of the user community. At the
	same time,
	
	 we can observe that, within Wiki communities, especially Wikipedia,
	a large
	
	 number of users is able to create comprehensive domain representations
	in the
	
	 sense of unique, machine-feasible, identifiers and concept definitions
	which are
	
	 sufficient for humans to grasp the intension of the concepts. The
	English
	
	 version of Wikipedia contains now more than one million entries and
	thus the
	
	 same amount of URIs plus a human-readable description. While this
	collection
	
	 is on the lower end of ontology expressiveness, it is likely the
	largest living
	
	 ontology that is available today. In this paper, we (1) show that
	standard Wiki
	
	 technology can be easily used as an ontology development environment
	for
	
	 named classes, reducing entry barriers for the participation of users
	in the
	
	 creation and maintenance of lightweight ontologies, (2) prove that
	the URIs of
	
	 Wikipedia entries are surprisingly reliable identifiers for ontology
	concepts, and
	
	 (3) demonstrate the applicability of our approach in a use case.},
	owner = {voelkel}, timestamp = {2006.06.14},
	keywords = {eswc2006 semantic semwiki2006 swikig wiki }
}