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1

Ontology based method for process oriented systems design

Mokerov V, Wójcik W., Balova T.

Przegląd Elektrotechniczny

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2014

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R. 90, nr 10

209-213

EN

Article considers use of ontology to solve task of information systems design based on service oriented architecture. To support the design process, ontology corresponding to conceptual and logical levels of functional representation of Zachman’s model is developed. Evaluation of semantic similarity of functions for forming system architecture based on processes model is suggested. Use of suggested ontology in system designing allows organizing the knowledge management process at initial stages of a system lifecycle.

PL

W artykule rozpatrzono zastosowanie ontologii w zadaniu projektowania systemów informacyjnych, opartych na architekturze zorientowanej na usługach. Dla wsparcia procesu projektowania opracowano ontologię odpowiadającą konceptualnemu i logicznemu poziomowi funkcjonalnego przedstawienia modelu Zachmana. Zaproponowano ocenę semantycznego podobieństwa funkcji do tworzenia architektury systemu na podstawie modelu procesów. Zastosowanie zaproponowanej ontologii do projektowania systemów pozwala organizować proces zarządzania wiedzą na wstępnym etapie cyklu życia systemu.

2

Unsupervised Similarity Learning from Textual Data

Janusz A., Ślęzak D., Nguyen H.S.

Fundamenta Informaticae

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2012

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Vol. 119, nr 3/4

319-336

EN

This paper presents a research on the construction of a new unsupervised model for learning a semantic similarity measure from text corpora. Two main components of the model are a semantic interpreter of texts and a similarity function whose properties are derived from data. The first one associates particular documents with concepts defined in a knowledge base corresponding to the topics covered by the corpus. It shifts the representation of a meaning of the texts from words that can be ambiguous to concepts with predefined semantics. With this new representation, the similarity function is derived from data using a modification of the dynamic rule-based similarity model, which is adjusted to the unsupervised case. The adjustment is based on a novel notion of an information bireduct having its origin in the theory of rough sets. This extension of classical information reducts is used in order to find diverse sets of reference documents described by diverse sets of reference concepts that determine different aspects of the similarity. The paper explains a general idea of the approach and also gives some implementation guidelines. Additionally, results of some preliminary experiments are presented in order to demonstrate usefulness of the proposed model.

3

Extraction of Polish noun senses from large corpora by means of clustering

Broda B., Piasecki M., Szpakowicz S.

Control and Cybernetics

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2010

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Vol. 39, no 2

401-420

EN

We investigate two methods of identifying noun senses, based on clustering of lemmas and of documents. We have adapted to Polish the well-known algorithm of Clustering by Committee, and tested it on very large Polish corpora. The evaluation by means of a WordNet-based synonymy test used Polish wordnet (plWordNet 1.0). Various clustering algorithms were analysed for the needs of extraction of document clusters as indicators of the senses of words which occur in them. The two approaches to wordsense identification have been compared, and conclusions drawn.