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Multi-statement features and optimization in CHIQL

Ruan Jian Xue Bao/Journal of Software 1997年第7期8卷 549-554页

作者： Meng, X. Wang, S. Lum, V.Y. Wong, K.F. Low, B.T. Institute of Data and Knowledge Engineering Renmin Univ Beijing 100872 China Department of Systems Engineer and Engineer Management Chinese University of Hong Kong Hong Kong China

CHIQL is a new database query language to satisfy the requests of Chinese users and has the features of naturalness and simplicity, procedural and multi-statement query. As a main feature, procedurality enable users to use multi-statements to express a query with 11 templates, especially concerning complex one. In term of its implementation, multi-statement optimization is a special issue in CHIQL. This paper devises a statement merge method to improve the efficiency of CHIQL query and give some qualitative analysis about it.

关键词： Query languages

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Situation diagrams

Situation diagrams

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7th International Conference on database and Expert Systems Applications (DEXA 96)

作者： Lang, P Obermair, W Schrefl, M Institut Für Wirtschaftsinformatik Data and Knowledge Engineering Universität Linz Austria

ISBN: (纸本)354061656X

Active database systems use situation-action rules to define which action has to be taken vt hen a particular situation occurs. Situation diagrams, which are introduced in this paper, provide a high-level graphical representation of situations for the conceptual design of active object-oriented databases. A situation is specified declaratively as a graphical query with temporal and logical conditions over members of object classes, event classes, and interval classes.

关键词： Object-oriented databases

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Achieving physical data independence in hypermedia databases

Achieving physical data independence in hypermedia databases

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International Workshop on Multi-Media database Management Systems

作者： T. Pruckler M. Schrefl Department of Information Systems Data and Knowledge Engineering University of Linz Linz Austria

As a large amount of hypermedia data is collected the question of storing these data in hypermedia databases arises. One of the problems encountered is how to separate applications from the data so that the same data can be used by many applications and changes to data organization have-besides execution-time-no effect on applications. In conventional databases this problem is solved by the concept of physical data independence. We argue that the concept of physical data independence can be applied beneficially to hypermedia databases, too. So far, while the demand for physical data independence has been voiced in a number of papers, only partial solutions have been proposed. We describe the part of a hypermedia database management system which deals with physical data independence and show how an existing database management system can be extended in this direction. In particular; we present a dataBlade for Ilustra, extending Illustra with physical data independence for images.

关键词： database systems Image storage Multimedia databases data models Image databases Information systems knowledge engineering data security Focusing Image segmentation

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Active object-oriented database design using active object/behavior diagrams

Active object-oriented database design using active object/b...

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International Workshop on Research Issues in data engineering

作者： P. Bichler M. Schrefl Department of Information Systems Data & Knowledge Engineering University of Linz Austria

Active object/behavior diagrams are introduced for the conceptual design of active object-oriented databases. They provide a high-level representation of active object-oriented database schemes, eg., ER-diagrams represent conventional database schemes. Object diagrams depict the structure of object types by a set of properties. Behavior diagrams depict the behavior of object types by a set of scales and activities. A behavior diagram specifies which activities may be invoked on instances of an object type and gives necessary pre- and postconditions for activity invocations. Activation scripts specify the active behavior of object types. They define sufficient conditions for activities to activities using events and guards. Events specify when activities are performed. Guards determine the objects for which the activity is executed. During logical design, properties of object diagrams are mapped into instance variables of object types, activities of behavior diagrams into methods, and activation scripts into event-condition-action rules.< >

关键词： Object oriented databases database systems Object oriented modeling Information systems knowledge engineering Monitoring Artificial intelligence Guidelines Prototypes Spatial databases

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INTEGRATING knowledge-BASED SYSTEMS AND dataBASES

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CLINICA CHIMICA ACTA 1993年第1-2期222卷 101-115页

作者： GRIMSON, JB Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin 2 Ireland

In recent years, there has been an explosion of interest among the computing community in the field of artificial intelligence, particularly in the areas of natural language processing and knowledge-based systems (KBS). The medical domain has seen the development of hundreds of KBSs and there is substantial evidence to show that the application of a knowledge-based approach to decision support can go a long way towards overcoming the information overload experienced by many clinicians today. Yet many of these medical KBSs are still at the prototype stage and are mainly confined to research laboratories. There are many reasons for this apparently slow take-up of the technology, but one of the most significant is the lack of integration into the regular routine information processing of the organisation, in particular the database processing. This paper discusses the benefits of such integration and methods for achieving it in the context of general trends in information systems. database technology provides efficient and secure management of large amounts of data in a multi-user, multiapplication environment. knowledge-based technology, on the other hand, provides mechanisms for building intelligent systems. Thus, for example, given a set of facts about a domain (symptoms, laboratory test results, etc.) together with a set of rules which apply to that domain (e.g.'if TT4 > 150 nmol/l then suspect hyperthyroidism'), a KBS can deduce new information about that domain automatically. The effective integration of these two technologies is seen as a means of achieving the intelligent information systems of the future. There are three basic approaches to integrating KBSs and databases. The first is to start with the KBS and incorporate data management functions. Alternatively, intelligence from the KBS can be incorporated into the database. Finally, the two systems can be allowed to coexist as independent systems which can talk to each other by means of standard interfaces.

关键词： dataBASE MANAGEMENT knowledge-BASED SYSTEMS EXPERT SYSTEMS

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military engineering

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CLEER - AN AI-SYSTEM DEVELOPED TO ASSIST EQUIPMENT ARRANGEMENTS ON WARSHIPS

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 127-137页

作者： ZHOU, HH SILVERMAN, BG SIMKOL, J Dr. H. Harry Zhou:is a research professor at the Institute for Artificial Intelligence of The George Washington University. Dr. Zhou received his master's degree and Ph.D. in computer science from Vanderbilt University in 1984 and 1987 respectively. He did his dissertation in the fields of artificial intelligence analogical reasoning and machine learning. His research interests include: classifier systems genetic algorithms learning by analogy inductive learning adaptive expert systems automated knowledge acquisition and adaption. He is also interested in data base design programming languages mental modeling and software engineering. Dr. Barry G. Silverman:is director of the Institute for Artificial Intelligence and a professor at the Engineering Administration Department of The George Washington University. He is also president of IntelliTek Inc. an AI consulting firm. Dr. Silverman received the B.S.E. M.S.E. and Ph.D. degrees from the University of Pennsylvania. He has been a principal developer of four generic AI products as well as eight AI applications. Since 1979 he has written over 100 papers and reports on these AI efforts. Joel Simkol:is a research scientist currently engaged in designing expert system architectures to support electronic warfare vulnerability analyses threat assessments shipboard topside antenna arrangements and C3countermeasures employment. Mr. Simkol's work in applying expert systems technology to electromagnetic interference and to spectrum management has generated increased interest and participation from all branches of government agencies.

This paper describes a modularized AI system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf AI technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.

关键词： Artificial Intelligence

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Process Support and knowledge Representation in Health Care 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Richard Lenz Silvia Miksch Mor Peleg Manfred Reichert David Riaño Annette Teije

ISBN: (数字)9783642364389

ISBN: (纸本)9783642364372

This book constitutes thoroughly refereed revised selected papers from the BPM 2012 Joint Workshop on Process-Oriented Information Systems and knowledge Representation in Health Care, ProHealth 2012/KR4HC 2012, held in Tallinn, Estonia, in September 2012. The 9 papers presented were carefully reviewed and selected from 19 submissions. In addition the book contains 1 keynote paper and 2 invited contributions. The papers are organized in topical sections named: guidelines and summarization; archetypes and cooperation; and process mining and temporal analysis.

关键词： Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval database Management User Interfaces and Human Computer Interaction Computer Communication Networks

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Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and data Visualization 1

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丛书名： Advances in Intelligent Systems and Computing

1000年

作者： Alfredo Vellido Karina Gibert Cecilio Angulo José David Martín Guerrero

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Advances in knowledge Discovery and data Mining 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Joshua Zhexue Huang Longbing Cao Jaideep Srivastava

ISBN: (数字)9783642208416

ISBN: (纸本)9783642208409

The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on knowledge Discovery and data Mining, PAKDD 2011, held in Shenzhen, China in May 2011. The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knowledge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.

关键词： Artificial Intelligence Information Systems Applications (incl. Internet) Information Storage and Retrieval database Management Algorithm Analysis and Problem Complexity Computer Communication Networks

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