@article{horrocks2003making, abstract = {The OWL Web Ontology Language is a new formal language for representing ontologies in the Semantic Web. OWL has features from several families of representation languages, including primarily Description Logics and frames. OWL also shares many characteristics with RDF, the W3C base of the Semantic Web. In this paper, we discuss how the philosophy and features of OWL can be traced back to these older formalisms, with modifications driven by several other constraints on OWL. Several interesting problems have arisen where these influences on OWL have clashed.}, author = {Horrocks, Ian and Patel-Schneider, Peter F. and van Harmelen, Frank}, doi = {10.1016/j.websem.2003.07.001}, interhash = {2db7912282384be060b75ebb445dd5d1}, intrahash = {6944f3b978dec082ffa284fe6bf7ac1a}, issn = {1570-8268}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, number = 1, pages = {7-26}, title = {From SHIQ and RDF to OWL: the making of a Web Ontology Language}, url = {http://www.sciencedirect.com/science/article/pii/S1570826803000027}, volume = 1, year = 2003 } @article{goodwin2008geographical, abstract = {Ordnance Survey, the national mapping agency of Great Britain, is investigating how semantic web technologies assist its role as a geographical information provider. A major part of this work involves the development of prototype products and datasets in RDF. This article discusses the production of an example dataset for the administrative geography of Great Britain, demonstrating the advantages of explicitly encoding topological relations between geographic entities over traditional spatial queries. We also outline how these data can be linked to other datasets on the web of linked data and some of the challenges that this raises.}, author = {Goodwin, John and Dolbear, Catherine and Hart, Glen}, doi = {10.1111/j.1467-9671.2008.01133.x}, interhash = {ea248d549690eceb8e7aa06ccb24e226}, intrahash = {08412bb4afca1e86d0cca0a8a083f2a2}, issn = {1467-9671}, journal = {Transactions in GIS}, pages = {19--30}, publisher = {Blackwell Publishing Ltd}, title = {Geographical Linked Data: The Administrative Geography of Great Britain on the Semantic Web}, url = {http://dx.doi.org/10.1111/j.1467-9671.2008.01133.x}, volume = 12, year = 2008 } @inproceedings{daquin2011extracting, abstract = {With the rise of linked data, more and more semantically described information is being published online according to the principles and technologies of the Semantic Web (especially, RDF and SPARQL). The use of such standard technologies means that this data should be exploitable, integrable and reusable straight away. However, once a potentially interesting dataset has been discovered, significant efforts are currently required in order to understand its schema, its content, the way to query it and what it can answer. In this paper, we propose a method and a tool to automatically discover questions that can be answered by an RDF dataset. We use formal concept analysis to build a hierarchy of meaningful sets of entities from a dataset. These sets of entities represent answers, which common characteristics represent the clauses of the corresponding questions. This hierarchy can then be used as a querying interface, proposing questions of varying levels of granularity and specificity to the user. A major issue is however that thousands of questions can be included in this hierarchy. Based on an empirical analysis and using metrics inspired both from formal concept analysis and from ontology summarization, we devise an approach for identifying relevant questions to act as a starting point to the navigation in the question hierarchy.}, acmid = {1999698}, address = {New York, NY, USA}, author = {d'Aquin, Mathieu and Motta, Enrico}, booktitle = {Proceedings of the sixth international conference on Knowledge capture}, doi = {10.1145/1999676.1999698}, interhash = {7794150f2b42c21956eb7fb419ca0248}, intrahash = {45374b975834248c0cd87022fc854e25}, isbn = {978-1-4503-0396-5}, location = {Banff, Alberta, Canada}, numpages = {8}, pages = {121--128}, publisher = {ACM}, title = {Extracting relevant questions to an RDF dataset using formal concept analysis}, url = {http://doi.acm.org/10.1145/1999676.1999698}, year = 2011 } @misc{darcus2008bibliographic, abstract = {The Bibliographic Ontology Specification provides main concepts and properties for describing citations and bibliographic references (i.e. quotes, books, articles, etc) on the Semantic Web.}, author = {D'Arcus, Bruce and Giasson, Frédérick}, editor = {Giasson, Frédérick}, howpublished = {Specification Document}, interhash = {9a7903afc37b62c3bbeaebbf8023c5db}, intrahash = {209d061c6809463a86308a8091eace8f}, title = {Bibliographic Ontology Specification}, url = {http://bibliontology.com/}, year = 2008 } @mastersthesis{Geldart2005, abstract = {This dissertation describes the design and development of the Frege shared information system. This system builds upon the work of semantic desktop systems such as Gnowsis and Haystack, exploring the ways that ontological information may be integrated into an existing desktop environment. The major contribution of this work is the introduction of the idea of ‘reflections’ between information models as a formal basis for integrating a shared information system with existing applications. The success of this work is intended to be judged by its ease of use for developers, the completeness of the model reflection and its efficiency. According to these criteria the design implemented may be judged a partial success, achieving an easy-to-use reflection which is practically too slow to use in general purpose systems. The work does, however, suggest means to improve this in future systems in order to bring about a fully-integrated, evolutionary semantic desktop system.}, author = {Geldart, Joe}, interhash = {077ff0abe9e848c4e850c887ea71e453}, intrahash = {5668aeea53c496d92b8d73c1a16ede2d}, month = {April}, school = {Department of Computer Science, University of Durham}, title = {RDF without Revolution An Analysis and Test of RDF and Ontology }, type = {Bachelor Thesis}, url = {http://www.dur.ac.uk/j.r.c.geldart/projects/frege/docs/report.pdf}, year = 2005 } @inproceedings{Staab+2000, abstract = {RDF(S)1 constitutes a newly emerging standard for metadata that is about to turn the World Wide Web into a machine-understandable knowledge base. It is an XML application that allows for the denotation of facts and schemata in a web-compatible format, building on an elaborate objectmodel for describing concepts and relations. Thus, it might turn up as a natural choice for a widely-useable ontology description language. However, its lack of capabilities for describing the semantics of concepts and relations beyond those provided by inheritance mechanisms makes it a rather weak language for even the most austere knowledge-based system. This paper presents an approach for modeling ontologies in RDF(S) that also considers axioms as objects that are describable in RDF(S). Thus, we provide flexible, extensible, and adequate means for accessing and exchanging axioms in RDF(S). Our approach follows the spirit of the World Wide Web, as we do not assume a global axiom specification language that is too intractable for one purpose and too weak for the next, but rather a methodology that allows (communities of) users to specify what axioms are interesting in their domain.}, author = {Staab, Steffen and Erdmann, Michael and Maedche, Alexander and Decker, Stefan}, booktitle = {Proc. of First Workshop on the Semantic Web at the Fourth European Conference International Workshop on Research and Advanced Technology for Digital Libraries, Lisbon, Portugal 18-20 September 2000}, interhash = {fad02e16d8d8c498e27f04f50fd6af4b}, intrahash = {c3860465294f655a44b1bbec190a51ad}, month = SEP, title = {An extensible approach for Modeling Ontologies in RDF(S)}, url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/Publ/2000/ecdl-sstetal.pdf}}, year = 2000 }