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In Enterprise Modeling, we use several languages for designing, analyzing, and communicating the different domains of an enterprise. Two important criteria for choosing a domainspecific language are its appropriateness to the requirements of the enterprise, as well as the accuracy of the language in describing the domain at hand. However, in some business domains, core concepts --such as Capability,...
The article presents the use of generative grammars in linguistic modeling. A description of sentence syntax modeling is used to automate the process of analysis and synthesis of natural language texts. The article reveals the features of synthesizing sentences of different languages with the use of generative grammars. The article examines influence of norms and rules of a language on the process...
Enterprise Modeling Languages (EMLs) are generally perceived as conceptual modeling languages having a formal syntax and informal semantics. The non-formality of semantics is mainly caused by the materiality of the addressed domain (enterprises and its related aspects) and the resulting personal interpretation of syntactical constructs. However, EMLs may also explicitly define invariant interpretations...
Proposes an approach to assessing the state of plant species (based on an example of assessing the state of large-leaved linden) in urban environment on the basis of fuzzy information from a group of experts. Formalization of the expert information is carried out on the basis of complete orthogonal semantic spaces. The proposed approach allows to avoid mistakes in the assessment of a single expert...
Proposes a model of comprehensive analysis of an enterprise conditions and monitoring the risk of bankruptcy on the basis of complete orthogonal semantic spaces. The model allows to find the fuzzy rating of the enterprise condition, to recognize it by the degree of risk of bankruptcy and monitoring at different times in order to make management decisions.
Translingual Text Mining (TTM) is an innovative technology of natural language processing for building multilingual parallel corpora, processing machine translation, contextual knowledge acquisition, information extraction, query profiling, language modeling, contextual word sensing, creating feature test sets and for variety of other purposes. The Keynote Lecture will discuss opportunities and challenges...
The study of sustainable urban systems requires analysis of interdependencies and relationships among infrastructures and social processes. Federated simulations using the High Level Architecture is a natural approach to modeling such systems-of-systems. Simulations interoperability requires a common structure and meaning of shared data represented in a Federation Object Model (FOM). Developing the...
This paper proposes a logical and linguistic model for automatic identification of collocation similarity. The method of component analysis is proposed to determine the semantic equivalence between collocates. The set of semantic and grammatical characteristics of collocates is identified by means of algebra of predicates to formalize collocation similarity.
Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation model for computing with words (CWW). In addition to the Herrera and Martinez model, two different models based on linguistic 2-tuples (i.e., the model of Herrera et al. and the numerical scale model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term...
Based on three evolutionary computational models that respectively simulate lexical, categorical and syntactic evolutions, we explore the effect of power-law distributed social popularity on language origin and change. Simulation results reveal a critical scaling degree (λ ≈ 1.0) in power-law distributions that helps accelerate the diffusion of linguistic conventions and preserve high linguistic understandability...
Within the information systems field the application of modeling languages for conceptual modeling has gained tremendous importance. In this context, different works discuss aspects of label quality and its influence on process model quality. In order to deliver valuable results for the quality improvement of process models in practice, the applied measurement methods have to cover the multi-dimensional...
The development of internet and information technology provides customers a new opportunity to share their shopping experience online. Online customer reviews (OCR) have a significant value on purchasing decisions and corporate reputation management. However, how to aggregate and utilize OCR is a big challenge. This paper explores the OCR processing and proposes an OCR processing model by introducing...
We discuss cognitive topics related to an Intelligence Analyst's Geospatial and Ontological Assistant (IAGOA) under development that associates an analyst's understanding of an agent's activities with the geospatial features of the area where they take place. IAGOA uses linguistic resources from the lexical database FrameNet, based on Fillmore's frame semantics (not related to Minsky's frames), and...
The task of analytic-synthetic process of text information cannot be solved without deep knowledge about the structure of language, without using a deep linguistic processor, processing morphology and syntax as well as semantics of language. On the stage of semantic analysis methods and algorithms of the theory of categories and predicate algebra are suggested to be used for defining connections between...
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