By José Cordeiro, Yannis Manolopoulos, Joaquim Filipe, Panos Constantopoulos
This booklet comprises the conscientiously chosen top papers of the eighth overseas convention on company info Sysetms, ICEIS 2006, held in Paphos, Cyprus, in may possibly 2006.
The four invited papers and 27 revised and chosen papers offered during this quantity disguise assorted features on the topic of company computing. They have been chosen from sixty three authorized papers (out of greater than four hundred submissions). The contributions are grouped in sections on databases and data structures integration; synthetic intelligence and determination aid platforms; details platforms research and specification; software program brokers and web computing; and human-computer interplay.
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1 Introduction The P2P paradigm dictates a fully distributed, cooperative network design, where nodes collectively form a system without any supervision. In contrast to data integration architectures, P2P data sharing systems do not assume a mediated schema to which all sources of the system should conform in order to share data. In such a system, where peers share structured data, each peer is an autonomous source that has a local schema. Sources store and manage their data locally, revealing only part of their schemas to the rest of the peers.
Moreover, we aim at solutions that compensate peers according to their activity in the system. Towards this end we are elaborating on exploiting solely the queries posed by each peer in order to discover the interesting sources. Furthermore, we are investigating methods for spreading the knowledge of each peer about schema information to the rest of the system and adapting this experience to the evolution of the peers. Our Proposal: GrouPeer In this work we develop GrouPeer, a system designed to enable accurate query evaluation through semantic overlay clustering and automatic creation and maintenance of semantic groups in relational P2P databases without prior schema or metaschema information.
A productive reconciliation of these perspectives requires clever metadata management, as indicated in fig. 1, an adaptation of the well-known industrial engineering or labor science triangle of people, organization, and technology [18]. Knowledge Management Networks/CoPs/ Networks/CoPs/ Individuals Individuals Em po we r, E Cross-Media Engineering & Design -L Control, Coordinate Change, Improve Meta ea rn in g Data Digital DigitalMedia Media Technology Technology Regulations/ Regulations/ Business BusinessProcesses Processes n io at ific / c e n tio Sp lu w o lo Ev ive kf el ch or od Ar W M Coordination Systems Semantic Web Fig.