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By Steffen Staab, Heiner Stuckenschmidt

Like the commercial society of the final century trusted traditional assets, present day society relies on info and its trade. Semantic internet applied sciences tackle the matter of knowledge complexity by way of supplying complicated aid for representing and processing disbursed info, whereas peer-to-peer applied sciences tackle problems with method complexity via permitting versatile and decentralized details garage and processing. structures which are in accordance with Semantic net and peer-to-peer applied sciences promise to mix some great benefits of the 2 mechanisms. A peer-to-peer sort structure for the Semantic net will steer clear of either actual and semantic bottlenecks that restrict details and data exchange.Staab and Stuckenschmidt dependent the chosen contributions into 4 components: half I, "Data garage and Access", prepares the semantic origin, i.e. info modelling and querying in a versatile and but scalable demeanour. those foundations enable for facing the association of data on the person friends. half II, "Querying the Network", considers the routing of queries, in addition to non-stop queries and customized queries lower than the stipulations of the completely altering topological constitution of a peer-to-peer community. half III, "Semantic Integration", offers with the mapping of heterogeneous information representations. eventually half IV, "Methodology and Systems", reviews reviews from case reviews and pattern applications.The total result's a cutting-edge description of the potential for Semantic net and peer-to-peer applied sciences for info sharing and data administration whilst utilized together. It serves researchers in academia and as a very good and lasting reference and resource of concept.

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2 Functions Datatypes, operators and functions are strongly interdependent, and to interpret function behaviour in SeRQL formally, we need to summarize how RDF itself handles datatypes. The following is summarized from [10]. RDF provides for the use of externally defined datatypes identified by a particular URI reference. In the interests of generality, RDF imposes minimal conditions on a datatype. The semantics for datatypes as specified by the model theory is minimal. It makes no provision for associating a datatype with a property so that it applies to all values of the property, and does not provide any way of explicitly asserting that a blank node denotes a particular datatype value.

Org/. Jeremy Carrol and Brian McBride. The Jena Semantic Web Toolkit. Public api, HP-Labs, Bristol, 2001. html. Jan Grant and Dave Beckett. RDF Test Cases. Proposed recommendation, World Wide Web Consortium, December15 2003. w3. org/TR/rdf-testcases/. Peter Haase, Jeen Broekstra, Andreas Eberhart, and Raphael Volz. A Comparison of RDF Query Languages. In Sheila McIlraith, Dimitris Plexousakis, and Frank van Harmelen, editors, The Semantic Web - ISWC 2004. Proceedings of the Third International Semantic Web Conference, volume 3298 of Lecture Notes in Computer Science, Hiroshima, Japan, 2004.

In this notation, the above reified statement would become: {{subj1} pred1 {obj1}} pred2 {obj2} Class and Property Hierarchies In the previous section we have shown how the RDF graph can be navigated through path expressions. The same principle can be applied to navigation of class and property hierarchies, since these are, of course, also graphs. For example, to retrieve the subclasses of a particular class my:class1: {subclass} rdfs:subClassOf {my:class1} Or, to retrieve all instances of class my:class1: {instance} rdf:type {my:class1} 28 Jeen Broekstra, Arjohn Kampman However, an RDF class/property hierarchy encapsulates notions such as inheritance, which must be taken into account.

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