XML users can make their own document structure and tagsets by freely defining the DTD with their intention. This freedom of defining tagsets and the structures, however, prevents the interchange of an XML document be...
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A multidatabase system provides integrated access to heterogeneous, autonomous component databases in a distributed system. In order to gain integrated access to a multidatabase system, semantic heterogeneities have t...
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In current multidatabase systems, an important problem is identifying semantic heterogeneities. The global schema multidatabases provide simple and effective paradigm;however creating and maintainging the global schem...
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In current multidatabase systems, an important problem is identifying semantic heterogeneities. The global schema multidatabases provide simple and effective paradigm;however creating and maintainging the global schema is difficult. Furthermore, these systems could not operate properly in dynamic environments. The new approaches using new technological developments such as agent technology, domain ontologies, intelligent mediator, and high-level query languages could operate properly in dynamic and open environments, but need well-established sharable knowledge which is a burdon to the user. In this paper, we suggest an approach for integrating information in multidatabase systems using Multi-Aspect Semantic Model(MASM). The MASM is a model which considers several aspects, such as semantic features, schematic aspect, neme, functional aspect, and context, to evalute the semantic similarity among objects and does not need well-established knowledge which must be acceptable among component databases. All necessary knowledge for integration is gathered independently in each component database rather than created and shared among component databases.
This working group met as part of the 1998 Workshop on Industrial-Strength Formal Specification Techniques (WIFT '98) in Boca Raton, Florida. As the working group title suggests, we discussed lessons learned, open...
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This working group met as part of the 1998 Workshop on Industrial-Strength Formal Specification Techniques (WIFT '98) in Boca Raton, Florida. As the working group title suggests, we discussed lessons learned, open issues and general suggestions surrounding the incorporation of formal methods in industrial development processes.
This paper presents the application of automated code generation to the development of marshalling code (also known as presentation conversion code). The techniques and automated tools as well as the results of an ind...
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This paper presents the application of automated code generation to the development of marshalling code (also known as presentation conversion code). The techniques and automated tools as well as the results of an industrial application are described. Marshalling code amounts to approximately half of the signalling software in subscriber radio, and as such constitutes approximately 20% of the total software in a radio. Development of marshalling code is considered to be a difficult, error-prone, and labor-intensive task. We have successfully developed significant portions of the infrastructure and subscriber software for the TETRA (Terrestrial Trunked Radio) protocol standard through automated code generation techniques using the process outlined in this paper.
This paper suggests component outsourcing method, the Fanning methodology, in which the software components in the distributed object such as the manager and the agent are created in the component type, and they are m...
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This paper suggests component outsourcing method, the Fanning methodology, in which the software components in the distributed object such as the manager and the agent are created in the component type, and they are maintained in the Platform Independent Class Repository(PICR). The Farming methodology is the methodology that executes these componentwares by downloading to the distributed object dynamically or statically if necessary. In case of composing the agent in TMN system, this methodology defines the function blocks of the distributed object as the framework list in order to perform the given role, composes the distributed object framework by transplanting the software components that composes this framework list from PICR, and composes the whole agent by outsourcing data component needed for the execution of the agent. Especially, OLB is executed by downloading it from PICR to the agent on demand dynamically. This methodology is based on the Farmer model. The Farmer model is the frame structure .model that introduces the concept of the system entity structure. The main purpose of the Farmer model is to separate and extract the comonent elements that compose the agent by analyzing the agent to be actually designed by the aspect. In this paper, the design and implementation of TMN agent constructor are described by using the Farming methodology.
This proceedings contains the papers presented at the 2004 IFIP International Conference on Network and Parallel Computing (NPC 2004), held at Wuhan, China, from October 18 to 20, 2004. The goal of the conference was ...
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ISBN:
(数字)9783540301417
ISBN:
(纸本)9783540233886
This proceedings contains the papers presented at the 2004 IFIP International Conference on Network and Parallel Computing (NPC 2004), held at Wuhan, China, from October 18 to 20, 2004. The goal of the conference was to establish an international forum for engineers and scientists to present their ideas and experiences in network and parallel computing. A total of 338 submissions were received in response to the call for papers. These papers werefrom Australia, Brazil,Canada,China, Finland, France, G- many, Hong Kong, India, Iran, Italy, Japan, Korea, Luxemburg, Malaysia, N- way, Spain, Sweden, Taiwan, UK, and USA. Each submission was sent to at least three *** paper was judged according to its originality,inno- tion, readability, and relevance to the expected audience. Based on the reviews received, a total of 69 papers were accepted to be included in the proceedings. Among the 69 papers, 46 were accepted as full papers and were presented at the *** accepted23papersasshortpapers;eachofthesepaperswas given an opportunity to have a brief presentation at the conference, followed by discussions in a poster session. Thus, due to the limited scope and time of the conference and the high number of submissions received, only 20% of the total submissions were included in the ?nal program.
Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods us...
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Graph pattern mining is essential for deciphering complex networks. In the real world, graphs are dynamic and evolve over time, necessitating updates in mining patterns to reflect these changes. Traditional methods use fine-grained incremental computation to avoid full re-mining after each update, which improves speed but often overlooks potential gains from examining inter-update interactions holistically, thus missing out on overall efficiency *** this paper, we introduce Cheetah, a dynamic graph mining system that processes updates in a coarse-grained manner by leveraging exploration domains. These domains exploit the community structure of real-world graphs to uncover data reuse opportunities typically missed by existing approaches. Exploration domains, which encapsulate extensive portions of the graph relevant to updates, allow multiple updates to explore the same regions efficiently. Cheetah dynamically constructs these domains using a management module that identifies and maintains areas of redundancy as the graph changes. By grouping updates within these domains and employing a neighbor-centric expansion strategy, Cheetah minimizes redundant data accesses. Our evaluation of Cheetah across five real-world datasets shows it outperforms current leading systems by an average factor of 2.63 ×.
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