BibSonomyburst/user/eswc2008/engineeringBibSonomy RSS feed for /user/eswc2008/engineering2012-02-16T19:25:58+01:00http://www.bibsonomy.org/bibtex/2ad4c19146cf99a09b1ba69d9256dfe62/eswc2008eswc20082008-05-28T14:49:58+02:00architecture software system engineering web semantic foundational-issues-storage-and-retrieval <span class="authorEditorList"><a href="/author/Gerber">Aurona Gerber</a>, <a href="/author/der Merwe">Alta Van der Merwe</a>, and <a href="/author/Barnard">Andries Barnard</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:58 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSThe usefulness of an abstracted Semantic Web architecture2008architecture software system engineering web semantic foundational-issues-storage-and-retrieval The establishment of the architecture of any information system is one of the crucial activities during the design and implementation thereof. There is general consensus in literature that an architecture (at least) depicts the structure of a system within a specific context. This depicted structure should portray the components that a system comprises of, as well as the relationships between the identified components. One of the main purposes of a system architecture is the provision of an agreed-upon functional description of system structure, components and component interactions. It is thus plausible to state that an architecture for the Semantic Web is crucial to its eventual realisation and that it is therefore necessary to attach undisputable meaning to the specification of the architecture for the languages of the Semantic Web. The most well-known versions of the layered architecture that exist within literature have been proposed by Berners-Lee, and the literature offers no description or specification of meaning for any of these. Furthermore, it is possible to indicate inconsistencies and discrepancies in the different versions of the architecture, leading to confusion, as well as conflicting proposals and adoptions by the Semantic Web community. In addition, none of the current formal initiatives by the W3C address the Semantic Web architecture specifically, which could be regarded as an omission. A layered architecture for the Semantic Web that adheres to Software Engineering principles and the fundamental aspects of layered architectures will assist in the development of Semantic Web specifications and applications. Furthermore, several of the current research and implementation issues associated with the implementation of the Semantic Web could potentially be resolved. A more recent version of a Semantic Web layered architecture, namely the CFL architecture, was proposed by Gerber, van der Merwe and Barnard [1]. They claim that their abstracted CFL architecture of the Semantic Web adheres to Software Engineering principles and addresses several of the concerns evident from previous versions of the architecture. In this paper we evaluate this recent architecture, both by scrutinising the shortcomings of previous architectures and evaluating the approach used for the development of the latest architecture. A similar approach was used in the construction of one of the most significant layered architectures in popular use today, notably the ISO/OSI reference model for network protocols. Furthermore, the CFL architecture is applied to usage scenarios to evaluate the usefulness thereof. We reach the conclusion that the approach indeed has merit in resolving current issues with regards to the architecture of the languages of the Semantic Web. However, the proposed version needs to be refined through consensus by all role players, including the W3C. Reference: [1] Gerber A.J., Van der Merwe A.J. and Barnard A., Towards a Semantic Web Layered Architecture. In Proceedings of the International Conference on Software Engineering (IASTED SE2007), Innsbruck, Austria, February 2007, pp.353-362.http://www.bibsonomy.org/bibtex/26065000208a26bb29e5eaeaff96fd035/eswc2008eswc20082008-05-28T14:49:58+02:00web games incentives online engineering semantic ontology user-interfaces-and-personalization <span class="authorEditorList"><a href="/author/Siorpaes">Katharina Siorpaes</a>, and <a href="/author/Hepp">Martin Hepp</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:58 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSOntoGame: Weaving the Semantic Web by Online Gaming2008web games incentives online engineering semantic ontology user-interfaces-and-personalization Most of the challenges faced when building the Semantic Web require a substantial amount of human labor and intelligence. Despite significant advancement in ontology learning and human language technology, building ontologies, annotating data, and establishing alignments between multiple ontologies remain tasks that highly depend on human intelligence, both as a source of domain expertise and for specifying the results. This means that individuals need to contribute time, and sometimes other resources. Now, we can observe a sharp contrast in user interest in two branches of Web activity: While the “Web 2.0” movement lives from an unprecedented amount of contributions from Web users, we witness a substantial lack of user involvement in the aforementioned tasks . We assume that one cause of the latter is a lack of proper incentive structures, i.e., settings in which the perceived benefits outweigh the efforts for people to contribute. As a novel solution, we (1) propose to masquerade the core tasks of weaving the Semantic Web behind on-line, multi-player game scenarios, in order to create proper incentives for humans to get involved. Doing so, we adopt the findings from the already famous “games with a purpose” by von Ahn, who has shown that presenting a useful task, which requires human intelligence, in the form of an on-line game can motivate a large amount of people to work heavily on this task, and this for free. Then, we (2) describe our OntoGame prototypes, (3) provide preliminary evidence that users are willing to invest a lot of time into those games, (4) show that the users’ input creates reliable results, and (5) discuss how, by doing so, they unknowingly weave the Semantic Web.http://www.bibsonomy.org/bibtex/23bd564f76feb535645236c3a4ad1d200/eswc2008eswc20082008-05-28T14:49:57+02:00model-driven development software engineering ontologies agents-application-ontologies <span class="authorEditorList"><a href="/author/Bräuer">Matthias Bräuer</a>, and <a href="/author/Lochmann">Henrik Lochmann</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em>(<em>June 2008</em>)Wed May 28 14:49:57 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSAn Ontology for Software Models and its Practical Implications for Semantic Web Reasoning2008model-driven development software engineering ontologies agents-application-ontologies Ontology-Driven Software Development (ODSD) advocates using ontologies for capturing knowledge about a software system at development time. So far, ODSD approaches have mainly focused on the unambiguous representation of domain models during the system analysis phase. However, the design and implementation phases can equally benefit from the logical foundations and reasoning facilities provided by the Ontology technological space. This applies in particular to model-driven approaches that employ models as first class entities throughout the entire software development process. We are currently developing a toolsuite called HybridMDSD that employs Semantic Web technologies to integrate different domain-specific modeling languages based on their ontological foundations. To this end, we have defined a new upper ontology for software models that complements existing work in conceptual and business modeling. This paper describes the structure and axiomatization of our ontology and its underlying conceptualization. Further, we report on the experiences gained with validating the integrity and consistency of software models using a Semantic Web reasoning architecture. We illustrate practical solutions to the problems arising from the open-world assumption in OWL and lack of nonmonotonic queries in SWRL.