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On the one hand, these solutions often have a hard time being adopted in the rst place: with such an enormous deployment base, the Internet and Computer Networks have considerable inertia; and, unlike Telecommunication Networks, they do not experience regular coordinated technology updates when a new generation is introduced (cf 1, Section 122) On the other hand, many solutions have indeed been adopted We have witnessed how the resulting network is of considerable complexity some say of incoherent patchiness and still does not fully satisfy all requirements Instead, the interaction of new features tends to create new problems According to the Clean Slate Approach, the problems of the current Internet have their root in fundamental architectural issues; these issues must be resolved from the ground up.

The idea is to think radically, and to design and build a new network, based on a new architecture, satisfying the new requirements in a coherent manner Backwards compatibility with the current Internet is not required The FIND and FIRE programmes have only just commenced, so we cannot yet report on the outcome The NewArch project resulted in many inspiring new concepts, see [Clark 2003a] for a summary They include questioning the layer structure and suggesting protocol heaps in order to increase exibility and decrease interaction problems [Braden 2002]; an.

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Berners-Lee, T, J Hendler, and O Lassila 2001 The Semantic Web The Scientific American (May 2001) Available at http://wwwscientificamerican com/2001/0501issue/0501berners-leehtml Biezunski, M, S Newcomb, and M Bryan, eds 2002 Guide to the Topic Map Standards Project ISO 13250, ISO/IEC JTC 1/SC34 Information Technology Document Description and Processing Languages (June 23, 2002) Available at http://wwwy12doegov/sgml/sc34/document/ 0323htm Biezunski, M 2003 Introduction to the Topic Maps Paradigm 2 in XML Topic Maps: Creating and Using Topic Maps for the Web, edited by Jack Park and Sam Hunting Reading, MA: Addison-Wesley, 17 33 Brachman, R J 1978 A Structural Paradigm for Representing Knowledge Bolt, Baranek, and Newman BBN Report 3605 Cambridge, MA Revision of Brachman s PhD thesis Harvard University 1977 Brachman, R J, and H Levesque, eds 1985 Readings in Knowledge Representation Los Altos, CA: Morgan Kaufmann Brachman, R J.

DAML is a Semantic Web ontology language that was developed as part of the DARPA DAML program, which originated in 2000 and continues to the present. Soon after the initial U.S.-based DAML language version had emerged, DAML researchers and the comparable European Union-based OIL language researchers became aware of each other s effort.21 There have subsequently been two versions of the combined language, now called DAML+OIL: December 2000 and March 2001. More recently, the DAML-Service (DAML-S) extension has emerged.22 DAML-S is really a collection of ontologies represented in DAML+OIL that address the semantics of Web services, including services modeled as processes, resources, service profiles, service models, and service groundings (i.e., the concrete realization of the abstractly specified service components, and comparable to the Web Service Description Language s notion of binding).

, and J G Schmolze 1985 An Overview of the KL-ONE Knowledge Representation System Cognitive Science 9, no 2: 171 216 Brickley, D, and R V Guha, eds 2002 RDF Vocabulary Description Language 10: RDF Schema W3C Working Draft (April 30, 2002) Available at http://wwww3org/TR/rdf-schema/ BusinessWeek 2002 The Web Weaver Looks Forward Interview with Tim Berners-Lee (March 27, 2002) Available at http://wwwbusinessweek com/bwdaily/dnflash/mar2002/nf20020327_4579htm Bush, V 1945 As We May Think The Atlantic (July 1945) Available at http://wwwtheatlanticcom/unbound/flashbks/computer/bushfhtm Carroll, J J, and J De Roo, eds Web Ontology Language (OWL) Test Cases W3C Working Draft (October 24, 2002) http://wwww3org/TR/ 2002/WD-owl-test-20021024/ (But see http://wwww3org/2001/sw/ WebOnt/ for more recent versions) Casey, M, and M Austin 2001 Semantic Web Methodologies for Spatial Decision Support.

University of Maryland, Institute for Systems Research and Department of Civil and Environmental Engineering (November 2001) Center for Army Lessons Learned (CALL) Thesaurus 2002 http://callarmymil/ Chappell, D 2002 Who Cares about UDDI Available at http://www chappellassoccom/articles/article_who_cares_UDDIhtml Chaudri, V, A Farquhar, R Fikes, P D Karp, and J P Rice 1998 Open Knowledge Base Connectivity Specification Specification V 2031 SRI and Knowledge Systems Laboratory Stanford University..

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