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EN
In the new era of information and communication technology, the representation of information is of increasing importance. Knowing how words are connected to each other in the mind and what processes facilitate the creation of connections could result in better optimized applications, e.g. in computer aided education or in search engines. This paper models the growth process of a word association database with an algorithm. We present the network structure of word associations for an agglutinative language and compare it with the network of English word associations. Using the real-world data so obtained, we create a model that reproduces the main features of the observed growth process and show the evolution of the network. The model describes the growth of the word association data as a mixture of a topic based process and a random process. The model makes it possible to gain insight into the overall processes which are responsible for creating an interconnected mental lexicon.
EN
The technique for collecting available lexicon is based on surveys of open lists in which for two minutes informants recorded all the words that come to mind in relation to each center of interest, up to a total of 16 thematic stimuli. These stimuli were defined by Gougenheim et al. (1964) as the most universally representative semantic sectors. However, those centers of interest 'are disparate semantic categories: its ontogeny, their internal organization, nor its reach are the same' (Hernández Muñoz, 2006: 134). This article characterizes the centers of interest of the available lexicon tests and examines the taxonomies of the centers of interest proposed by different authors. Finally, it analyzes the organization of the lexical repertoires of Spanish as a Foreign Language, produced by a sample of 120 students from 3rd year in bilingual high school with Spanish in Warsaw (XXXIV Liceum), Kraków (VI Liceum) and Łódz (XXXII Liceum). Analysis gives attention to the type of partnerships that are prevalent in the bosom of the lexical sets, as well as describes in detail significant relationships that occur among the most frequent words.
EN
This work deals with the situation of languages in contact and explores the nature of bilingual lexicon by studying lexical availability. Based on the results published in 2010 in Lèxic disponible de València, and in relation to ‘town’ as the center of interest, the study applied a new analytical tool called DispoGrafo, which enabled us to observe issues related to the construction and organization of the mental lexicon, for example, the incidence or profitability of facilitating semantic–priming–in clusters made up of three or more closely linked elements. The sample was obtained from 464 high school students of 2nd baccalaureate in the Valencia province, and was established to represent the ‘normal language’ variable. Two subgroups were formed: valencià-L1 (253 students) and valencià-L2 (211 students).
EN
What is the class of possible semiotic systems? What kinds of systems could count as such systems? The human mind is naturally considered the prototypical semiotic system. During years of research in semiotics the class has been broadened to include i.e. living systems (Zlatev, 2002) like animals, or even plants (Krampen, 1992). It is suggested in the literature on artificial intelligence that artificial agents are typical examples of symbol-processing entities. It also seems that (at least some) semiotic processes are in fact cognitive processes. In consequence, it is natural to ask the question about the relation between semiotic studies and research on artificial cognitive systems within cognitive science. Consequently, my main question concerns the problem of inclusion or exclusion from the semiotic spectrum at least some artificial (computational) systems. I would like to consider some arguments against the possibility of artificial semiotic systems and I will try to repeal them. Then I will present an existing natural-language using agent of the SNePS system and interpret it in terms of Peircean theory of signs. I would like also to show that some properties of semiotic systems in Peircean sense could be also found in a discussed artificial system. Finally, I will have some remarks on the status of semiotics in general.
PL
W artykule omówiono problematykę zarządzania wiedzą, w tym w szczególności wiedzą chronioną. Podjęto problematykę systemów informatycznych oraz stosowanych w nich mechanizmów, których zadaniem jest ochrona kapitału intelektualnego. Systemy te zajmują się prawidłowym obiegiem informacyjnym, monitorowaniem informacji wchodzącej do organizacji i z niej wychodzącej, a także skutecznym zabezpieczaniem informacji w formie elektronicznej. W artykule przedstawiono autorski system ochrony własności intelektualnej SOWI, w którym istotne jest zastosowanie zaawansowanych struktur reprezentacji wiedzy i opartych na nich mechanizmów semantycznych do ochrony własności intelektualnej przechowywanej w publicznie dostępnych dokumentach tekstowych.
EN
The paper presents the issues of knowledge management, and particularly protected knowledge. It takes the problem of IT systems and mechanisms, whose function is to protect intellectual capital of an organisation. These systems deal with the proper circulation of information, monitoring of incoming and outgoing information from the organization, as well as an with effective securing of the information stored in electronic form in the corporate databases. The paper presents the Intellectual Property Protection System SOWI developed by the author. The system uses an extensive set of semantic net mechanisms for the Polish and English language which allows it to detect plagiarism in suspicious documents and which is also able to protect intellectual property on the level far beyond simple text matching. The SOWI system uses the mechanism of semantic compression developed to generalise concepts during a comparison of documents. The main focus of this work is to give the reader an overview of architecture and the mechanisms of the system in question.
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