Binary-relationship integration methodology
Authors: P. Sooval, S. Zohn
Journal: Data & Knowledge Engineering (1991), Vol. 6, 225-250.
BRIM is a view integration methodology which utilizes the binary-relationship data model and encompasses all stages of... more
BRIM is a view integration methodology which utilizes the binary-relationship data model and encompasses all stages of conceptual schema integration. In the pre-integration stage it assists the designer to prepare a binary-strategy integration plan. Then, in the stage of conflict resolution, it identifies and resolves all possible types of conflict between schemas, including naming conflicts (i.e. homonyms and synonyms) and structural conflicts (i.e. conflicts regarding differences between types, dependencies, keys, constraints, and hierarchies of objects). Once conflicts are resolved and the source schemas are in conformity, they are merged by superimposition, and inter-schema relationships are added to the integrated schema. The process is repeated for every two source schemas or intermediate results, until the target global schema is obtained.
BRIM is supported by an interactive software tool which is part of a PC-based system for automated database design. The tool leads the designer through all stages of the integration process, applying conflict resolution rules and schema merging algorithms, providing an integrated conceptual schema, which can then be automatically tranformed into a normalized database schema.
Download (.pdf) Federated database systems for managing distributed, heterogeneous, and autonomous databases
by Amit Sheth
A. Sheth and J. Larson, 'Federated database systems for managing distributed, heterogeneous, and autonomous databases,' ACM Computing Surveys 22 (no. 3), September 1990, pp. 183-236.
A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly... more A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures can be developed. We then define a methodology for developing one of the popular architectures of an FDBS. Finally, we discuss critical issues related to developing and operating an FDBS.
Design and Implementation of a Query Planner for Data Integration
Koul, N., and Honavar, V. (2009). Design and Implementation of a Query Planner for Data Integration. In: Proceedings of the IEEE Conference on Tools with Artificial Intelligence.
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Spanos A., Ponis.S.T. and Tatsiopoulos I.P., Enterprise Application Integration: Implications for Euro-Asian Supply Chains, Human Systems Management 26 (2007) pp. 257-268, IOS Press.
The modern competitive markets rely heavily on the concept of globalization. In this respect, the virtual enterprise... more
The modern competitive markets rely heavily on the concept of globalization. In this respect, the virtual enterprise approach and a holistic view of an enterprise’s supply chain come into play. Nowadays, a company is as reliable and efficient as the weakest link in its supply chain. An unhampered product and information flow among the supply chain nodes and a capability for backtracking are required, raising the need for Enterprise Application Integration (EAI), Business-to-Business (B2B) integration and interoperability in between the intra-enterprise and trans-enterprise heterogeneous information systems. This paper suggests how the increasingly important role of South and East Asian markets in the globalization era can be amplified by the use of the latest EAI technologies that facilitate the bonding of even the most diverse information systems. In turn, European markets already adopting such technologies can benefit and forge closely-knit relationships with their South and East
Asian counterparts.
Non-functional Aspects of Information Integration and Research for the Web Science
Web Science is emerging as an interdisciplinary field that views the Web as a relevant source of information
to... more
Web Science is emerging as an interdisciplinary field that views the Web as a relevant source of information
to be analysed for diverse scientific purposes. Semantic and linked data techniques and standards have been used to integrate existing Web information developing e-research efforts. Web applications and sources have to publish enriched information and data models, which are then matched and aligned. Some aspects of this integration are related with the evolutionary tracking, trustiness and plurality of the information available for e-science research. These aspects need to be modeled independently of the information and data sources of the research discipline. Here we provide an integrative ontology that enables to model such non-functional, informational aspects, to integrate information sources from enriched linked data applications. Finally we describe an application case of information research in the e-culture fiel
Towards Semantic Interoperability Service Utilities
6th International Workshop on Enterprise Integration, Interoperability and Networking, 19-20. October, 2011, Hersonissos, Crete, Greece (Accepted paper)
The paradigm of Interoperability Service Utility (ISU) is considered as one of the grand challenges in research of... more The paradigm of Interoperability Service Utility (ISU) is considered as one of the grand challenges in research of Enterprise Interoperability. In this paper, we discuss on the relevance and impact of the current ISU research to the semantic interoperability in general and propose an original architecture for im-plementation of the Semantic Interoperability Service Utilities (S-ISU). The proposed architecture is formalized by the S-ISU Ontology – a meta-model for the semantic interoperability of the Enterprise Information Systems. Its in-tended purpose is to be used as abstract model for design of the organizational and asset perspective of the systems interoperability in a virtual enterprise.
Reverse Ontology Matching
Jorge Martinez-Gil, José F. Aldana-Montes. Reverse Ontology Matching. Accepted for publication in SIGMOD Record.Jorge Martínez Gil, José Francisco Aldana Montes: Reverse ontology matching. SIGMOD Record 39(4): 5-11 (2010)
Ontology Matching aims to find the semantic correspondences between ontologies that belong to a single domain but that... more Ontology Matching aims to find the semantic correspondences between ontologies that belong to a single domain but that have been developed separately. However, there are still some problem areas to be solved, because experts are still needed to supervise the matching processes and an efficient way to reuse the alignments has not yet been found. We propose a novel technique named Reverse Ontology Matching, which aims to find the matching functions that were used in the original process. The use of these functions is very useful for aspects such as modeling behavior from experts, performing matching-by-example, reverse engineering existing ontology matching tools or compressing ontology alignment repositories. Moreover, the results obtained from a widely used benchmark dataset provide evidence of the effectiveness of this approach.
MaSiMe: A Customized Similarity Measure and Its Application for Tag Cloud Refactoring
David Urdiales-Nieto, Jorge Martínez Gil, José Francisco Aldana Montes: MaSiMe: A Customized Similarity Measure and Its Application for Tag Cloud Refactoring. OTM Workshops 2009: 937-946
Nowadays the popularity of tag clouds in websites is increased notably, but its generation is criticized because its... more Nowadays the popularity of tag clouds in websites is increased notably, but its generation is criticized because its lack of control causes it to be more likely to produce inconsistent and redundant results. It is well known that if tags are freely chosen (instead of taken from a given set of terms), synonyms (multiple tags for the same meaning), normalization of words and even, heterogeneity of users are likely to arise, lowering the efficiency of content indexing and searching contents. To solve this problem, we have designed the Maximum Similarity Measure (MaSiMe) a dynamic and flexible similarity measure that is able to take into account and optimize several considerations of the user who wishes to obtain a free-of-redundancies tag cloud. Moreover, we include an algorithm to effectively compute the measure and a parametric study to determine the best configuration for this algorithm.
Evaluation of two heuristic approaches to solve the ontology meta-matching problem
J. Martinez-Gil and J. Aldana-Montes, "Evaluation of two heuristic approaches to solve the ontology meta-matching problem," Knowledge and Information Systems, December 2009. Available: http://dx.doi.org/10.1007/s10115-009-0277-0
Nowadays many techniques and tools are available for addressing the ontology matching problem, however, the complex... more Nowadays many techniques and tools are available for addressing the ontology matching problem, however, the complex nature of this problem causes existing solutions to be unsatisfactory. This work aims to shed some light on a more flexible way of matching ontologies. Ontology meta-matching, which is a set of techniques to configure optimum ontology matching functions. In this sense, we propose two approaches to automatically solve the ontology meta-matching problem. The first one is called maximum similarity measure, which is based on a greedy strategy to compute efficiently the parameters which configure a composite matching algorithm. The second approach is called genetics for ontology alignments and is based on a genetic algorithm which scales better for a large number of atomic matching algorithms in the composite algorithm and is able to optimize the results of the matching process.
An Overview of Current Ontology Meta-Matching Solutions
Accepted for publication in Knowledge Engineering Review
Nowadays there are a lot of techniques and tools for addressing the ontology matching problem, however, the complex... more Nowadays there are a lot of techniques and tools for addressing the ontology matching problem, however, the complex nature of this problem means that the existing solutions are unsatisfactory. This work intends to shed some light on a more flexible way of matching ontologies using ontology meta-matching. This emerging technique selects appropriate algorithms and their associated weights and thresholds in scenarios where accurate ontology matching is necessary. We think that an overview of the problem and an analysis of the existing state-of-the-art solutions will help researchers and practitioners to identify the most appropriate specific features and global strategies in order to build more accurate and dynamic systems following this paradigm.