Process-Oriented Systems Integration
Notice bibliographique
Résumé
Existing mainstream integration solutions, which are based on sharing common semantic models, are mostly static. The semantic models are designed based on a priori knowledge to the heterogeneity of collaborating systems. However, the problems that those integration solutions intend to resolve are not static, which requires that an integration solution being adaptive to constantly changing information processes. The adaptiveness of collaborating systems also puts significant constraints on the integration strategy because it is the integration strategy that coordinates and controls the information flow among collaborating systems and the accessibility on which the shared information is based. First, the changes of the composition of supporting information systems throughout the lifecycle of a project such as a construction project will cause the technical infrastructure that supports computer-mediated communication and collaboration to change, which further requires the integration strategy to be able to adjust to different integration situations dynamically. The integration strategy needs to be able to deal with the newly added tools as well as to maintain access to the data in the old format. Secondly, formal business processes such as change of order processes and procurement processes often have significant variations from case to case. Let alone to say many informal business or information processes that team with a typical construction project. The variations also have great impact on the integration solutions because for different cases the information needs are different. Therefore, the changes in technical infrastructure as well as business processes require that the information system of a project be adaptive. The writing of this paper is motivated by recent studies in computer-mediated information processes and integration strategies. Recently research in areas such as process mining and dynamic enactment of workflow processes makes computer-mediated information processes more adaptive to human-oriented business processes. Meanwhile, the hybrid strategy for systems integration in AEC has been introduced and discussed. The hybrid strategy relies on a community-specific representation that serves as a de facto standard for collaborating systems. The community-specific representation is an ontological representation that addresses the access to local data definitions, semantic mappings between local definitions, and other related issues. To support integration solutions that address the dynamics of a project and evolve as project environment changes, this paper explores theories and methods to establish a link 1 Professor, Dept. of Construction Management, Florida International University, Miami, FL 33174, U.S.A, Phone (305) 348-3517, zhuy@fiu.edu 2 Rinker Professor, Rinker School of Building Construction, University of Florida, Gainesville, FL, 32611; Phone (352) 273 1152; raymond-issa@ufl.edu 3 Ph.D. student, Rinker School of Building Construction, University of Florida, Gainesville, FL 32611; Phone (352) 273 1178; imutis@ufl.edu June 14-16, 2006 Montreal, Canada Joint International Conference on Computing and Decision Making in Civil and Building Engineering
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».