Tharam Dillon

Integer programming approach to the problem of optimal unit commitment with probabilistic reserve determination

Power Apparatus and …, Jan 1, 1978

Page 1. 2154 IEEE Transactions on Power Apparatus and Systems, Vol. PAS-97, No. 6, Nov/Dec 1978 I... more

Automated knowledge acquisition

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Object-Oriented Conceptual Modeling

Haya Shida, Subscribe (Full Service), Register (Limited Service, Free), Login. Search: The ACM Di... more

Trust and Reputation for Service-Oriented Environments: Technologies for Building Business Intelligence and Consumer Confidence

Ubiquity, Jan 1, 2006

Trust has played a central role in human relationships and hence has been the subject of study in... more

A Semantic Network-Based Design Methodology for XML Documents

ACM Transactions on Information …, Jan 1, 2002

The eXtensible Markup Language (XML) is fast emerging as the dominant standard for describing and... more The eXtensible Markup Language (XML) is fast emerging as the dominant standard for describing and interchanging data among various systems and databases on the Internet. It offers the Document Type Definition (DTD) as a formalism for defining the syntax and structure of XML documents. The XML Schema definition language, as a replacement for the DTD, provides more rich facilities for defining and constraining the content of XML documents. However, it does not concentrate on the semantics that underlies these documents, representing a logical data model rather than a conceptual model. To enable efficient business application development in large-scale electronic commerce environments, it is necessary to describe and model real-world data semantics and their complex interrelationships. In this article, we describe a design methodology for XML documents. The aim is to enforce XML conceptual modeling power and bridge the gap between software development and XML document structures. The proposed methodology is comprised of two design levels: the semantic level and the schema level. The first level is based on a semantic network, which provides semantic modeling of XML through four major components: a set of atomic and complex nodes, representing real-world objects; a set of directed edges, representing semantic relationships between the objects; a set of labels denoting different types of semantic relationships, including aggregation, generalization, association, and of-property relationships; and finally a set of constraints defined over nodes and edges to constrain semantic relationships and object domains. The other level of the proposed methodology is concerned with detailed XML schema design, including element/attribute declarations and simple/complex type definitions. The mapping between the two design levels is proposed to transform the XML semantic model into the XML Schema, based on which XML documents can be systematically created, managed, and validated.

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Soft computing in case based reasoning

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Engineering intelligent hybrid multi-agent systems

Page 1. ENGINEERING INTELLIGENT HYBRID MULTI-AGENT SYSTEMS Rajiv Khosla TharamDillon Kluwer Acade... more

A Survey In Indexing and Searching XML Documents

Journal of the …, Jan 1, 2002

Abstract XML holds the promise to yield (1) a more precise search by providing additional informa... more Abstract XML holds the promise to yield (1) a more precise search by providing additional information in the elements,(2) a better integrated search of documents from heterogeneous sources,(3) a powerful search paradigm using structural as well as content specifications, and (4) data and information exchange to share resources and to support cooperative search. We survey several indexing techniques for XML documents, grouping them into flat-file, semistructured, and structured indexing paradigms. Searching techniques and ...

A statistical-heuristic feature selection criterion for decision tree induction

IEEE Transactions on Pattern Analysis and …, Jan 1, 1991

Page 1. 834 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 13, NO. 8, AUGUS... more

Neural Networks Applications In Power Systems

IMB3-Miner: Mining Induced/Embedded subtrees by constraining the level of embedding

Advances in Knowledge …, Jan 1, 2006

Tree mining has recently attracted a lot of interest in areas such as Bioinformatics, XML mining,... more Tree mining has recently attracted a lot of interest in areas such as Bioinformatics, XML mining, Web mining, etc. We are mainly concerned with mining frequent induced and embedded subtrees. While more interesting patterns can be obtained when mining embedded subtrees, unfortunately mining such embedding relationships can be very costly. In this paper, we propose an efficient approach to tackle the complexity of mining embedded subtrees by utilizing a novel Embedding List representation, Tree Model Guided enumeration, and introducing the Level of Embedding constraint. Thus, when it is too costly to mine all frequent embedded subtrees, one can decrease the level of embedding constraint gradually up to 1, from which all the obtained frequent subtrees are induced subtrees. Our experiments with both synthetic and real datasets against two known algorithms for mining induced and embedded subtrees, FREQT and TreeMiner, demonstrate the effectiveness and the efficiency of the technique.

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Modeling and Transformation of Object-Oriented Conceptual Models Into XML Schema

Database and Expert Systems …, Jan 1, 2001

HC Mayr et al. (Eds.): DEXA 2001, LNCS 2113, pp. 795804, 2001. © Springer-Verlag Berlin Heidelbe... more

Knowledge Acquisition of Conjunctive Rules Using Multilayered Neural Networks

International Journal of Intelligent Systems, Jan 1, 1993

A major bottleneck in developing knowledge-based systems is the acquisition of knowledge. Machine... more A major bottleneck in developing knowledge-based systems is the acquisition of knowledge. Machine learning is an area concerned with the automation of this process of knowledge acquisition. Neural networks generally represent their knowledge at the lower level, while knowledge-based systems use higher-level knowledge representations. The method we propose here provides a technique that automatically allows us to extract conjunctive rules from the lower-level representation used by neural networks. The strength of neural networks in dealing with noise has enabled us to produce correct rules in a noisy domain. Thus we propose a method that uses neural networks as the basis for the automation of knowledge acquisition and can be applied to noisy, realworld domains. 0

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An experimental method of determination of optimal maintenance schedules in power systems using the branch-and-bound technique

Systems, Man and …, Jan 1, 1976

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Software complexity and its impact on software reliability

Software Engineering, IEEE …, Jan 1, 1988

Page 1. 1EEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. 14, NO. II. NOVEMBER 1988 1645 Software C... more

The pudding of trust

IEEE Intelligent …, Jan 1, 2004

In this essay, we poke at several sacred cows (even though we like their milk and drink it oursel... more

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A distributed approach to sub-ontology extraction

… , 2004. AINA 2004. …, Jan 1, 2004

The new era of semantic web has enabled users to extract semantically relevant data from the web.... more The new era of semantic web has enabled users to extract semantically relevant data from the web. The backbone of the semantic web is a shared uniform structure which defines how web information is split up regardless of the implementation language or the syntax used to represent the data. This structure is known as an ontology.

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Trust and reputation for service-oriented environments

Wiley, Jan 1, 2006

Trust has played a central role in human relationships and hence has been the subject of study in... more

Checkpointing and rollback of wide-area distributed applications using mobile agents

Parallel and Distributed …, Jan 1, 2001

We consider the problem of designing rollback error recovery algorithms for dynamic, wide area di... more We consider the problem of designing rollback error recovery algorithms for dynamic, wide area distributed systems like the Internet. The characteristics and the scale of such a system complicate the design and performance of the algorithms. Traditional message passing based algorithms incur large overhead, in both the network traffic and message passing delay, in such a wide-area environment. In this paper, we propose a novel approach to designing checkpointing and rollback algorithms using mobile agents as an aid. Using mobile agent leads to a reduction of the total amount of communication and allows us to design algorithms that take the advantage of the most up to date system information for decision making. It also allows us to develop algorithms implementing flexible and adaptive policies. A mobile agent enabled hybrid algorithm combining independent and coordinated checkpointing is proposed. A prototype of the algorithms is developed using IBM's Aglets. Results of performance evaluation are presented and discussed.

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A Practical Walkthrough of the Ontology Derivation Rules

Database and Expert Systems …, Jan 1, 2002

To ensure the success of the semantic web, structures that are implemented, usually ontologies, s... more To ensure the success of the semantic web, structures that are implemented, usually ontologies, should maintain their validity well into the future. These ontologies can be very extensive, introducing the problem that only parts (sub-ontologies) of them are needed by applications. A number of rules were established to get from such a base ontology to a derived subontology. This paper explores these rules in a practical way, by giving a realworld scenario, and following it through from initial state to target ontology design. Each step and rule is applied to the scenario, and so the more practical side of the theoretical rules and steps is shown.

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