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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Saha, Sriparna | Bandyopadhyay, Sanghamitra
Article Type: Research Article
Abstract: In this paper, an evolutionary technique for the semi-supervised clustering is proposed. The proposed technique uses a point symmetry based distance measure. Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. In this paper the existing point symmetry based genetic clustering technique, GAPS-clustering, is extended in two different ways to handle the semi-supervised classi- fication problem. The proposed semi-GAPS clustering algorithmis able …to detect any type of clusters irrespective of shape, size and convexity as long as they possess the point symmetry property. Kdtree based nearest neighbor search is used to reduce the complexity of finding the closest symmetric point. Adaptive mutation and crossover probabilities are used. Experimental results demonstrate practical performance benefits of the methodology in detecting classes having symmetrical shapes in case of semi-supervised clustering. Show more
Keywords: Semi-supervised classification, genetic algorithm (GA), symmetr, point symmetry based distance, Kd-tree
DOI: 10.3233/FI-2009-174
Citation: Fundamenta Informaticae, vol. 96, no. 1-2, pp. 195-209, 2009
Authors: Shen, Guohua | Huang, Zhiqiu | Zhang, Yuping | Zhu, Xiaodong | Yang, Jun
Article Type: Research Article
Abstract: Matchmaking plays an important role in Web services interactions. The matchmaking based on keywords easily leads to low precision, Meanwhile, the current semantic service discovery methods perform service I/O based profile matching, there exists no matchmaker that performs an integrated service matching by additional reasoning on logically defined preconditions, effects, Qos and so on. In this paper, the semantic web services are described based on Description Logics, and the services description model is designed, which …describes the various aspects (such as IOPEs, Qos and so on) of the web services. So the services matchmaking is transformed into the match of concepts. The service match algorithm is proposed and the description logics reasoner RacerPro is adopted for Web services discovery. We show how the semantic matching between providers and a requester is performed by a case study. Show more
Keywords: Web Services, matchmaking, description logics, Semantic web, ontology
DOI: 10.3233/FI-2009-175
Citation: Fundamenta Informaticae, vol. 96, no. 1-2, pp. 211-226, 2009
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