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Reza Samavi Eric Yu Thodoros Topaloglou 《Information Systems and E-Business Management》2009,7(2):171-198
Strategic reasoning about business models is an integral part of service design. In fast moving markets, businesses must be able to recognize and respond strategically to disruptive change. They have to answer questions such as: what are the threats and opportunities in emerging technologies and innovations? How should they target customer groups? Who are their real competitors? How will competitive battles take shape? In this paper we define a strategic modeling framework to help understand and analyze the goals, intentions, roles, and the rationale behind the strategic actions in a business environment. This understanding is necessary in order to improve existing or design new services. The key component of the framework is a strategic business model ontology for representing and analyzing business models and strategies, using the i* agent and goal oriented methodology as a basis. The ontology introduces a strategy layer which reasons about alternative strategies that are realized in the operational layer. The framework is evaluated using a retroactive example of disruptive technology in the telecommunication services sector from the literature. 相似文献
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Building knowledge base management systems 总被引:1,自引:0,他引:1
John Mylopoulos Vinay Chaudhri Dimitris Plexousakis Adel Shrufi Thodoros Topologlou 《The VLDB Journal The International Journal on Very Large Data Bases》1996,5(4):238-263
Advanced applications in fields such as CAD, software engineering, real-time process control, corporate repositories and digital
libraries require the construction, efficient access and management of large, shared knowledge bases. Such knowledge bases
cannot be built using existing tools such as expert system shells, because these do not scale up, nor can they be built in
terms of existing database technology, because such technology does not support the rich representational structure and inference
mechanisms required for knowledge-based systems. This paper proposes a generic architecture for a knowledge base management
system intended for such applications. The architecture assumes an object-oriented knowledge representation language with
an assertional sublanguage used to express constraints and rules. It also provides for general-purpose deductive inference
and special-purpose temporal reasoning. Results reported in the paper address several knowledge base management issues. For
storage management, a new method is proposed for generating a logical schema for a given knowledge base. Query processing
algorithms are offered for semantic and physical query optimization, along with an enhanced cost model for query cost estimation.
On concurrency control, the paper describes a novel concurrency control policy which takes advantage of knowledge base structure
and is shown to outperform two-phase locking for highly structured knowledge bases and update-intensive transactions. Finally,
algorithms for compilation and efficient processing of constraints and rules during knowledge base operations are described.
The paper describes original results, including novel data structures and algorithms, as well as preliminary performance evaluation
data. Based on these results, we conclude that knowledge base management systems which can accommodate large knowledge bases
are feasible.
Edited by Gunter Schlageter and H.-J. Schek.
Received May 19, 1994 / Revised May 26, 1995 / Accepted September 18, 1995 相似文献
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