Translation of Natural Language Patterns to Object and Process Modeling

Author(s):  
Alexandra Galatescu

In order to shorten the engineering period of the complex information systems (ISs), the integration of the models is needed for uniformly: (1) traversing all phases of ISs’ lifecycle (analysis, design, coding, testing), and (2) representing object, functional, process and organizational models on the business domain.

Author(s):  
Alexandra Galatescu

The proposed translation of natural language (NL) patterns to object and process modeling is seen as an alternative to the symbolic notations, textual languages or classical semantic networks, the main representation tools today. Its necessity is motivated by the universality, unifying abilities, natural extensibility, logic and reusability of NL. The translation relies on a formalized, stylized and graphical representation of NL, bridging NL to an integrated view on the object and process modeling. Only the morphological and syntactic knowledge in NL is subject to translation, but the proposed solution anticipates the semantic and logical interpretation of a model. A brief presentation and exemplification of NL patterns in consideration precede the translation.


Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 55
Author(s):  
Shan Zhang

By applying the concept of natural science to the study of music, on the one hand, we can understand the structure of music macroscopically, on the other, we can reflect on the history of music to a certain extent. Throughout the history of western music, from the classical period to the 20th century, music seems to have gone from order to disorder, but it is still orderly if analyzed carefully. Using the concept of complex information systems can give a good answer in the essence.


2002 ◽  
Vol 8 (2-3) ◽  
pp. 93-96
Author(s):  
AFZAL BALLIM ◽  
VINCENZO PALLOTTA

The automated analysis of natural language data has become a central issue in the design of intelligent information systems. Processing unconstrained natural language data is still considered as an AI-hard task. However, various analysis techniques have been proposed to address specific aspects of natural language. In particular, recent interest has been focused on providing approximate analysis techniques, assuming that when perfect analysis is not possible, partial results may be still very useful.


Author(s):  
A.N. Belikov ◽  
◽  
S.A. Belikova

The existing approach to requirements extraction is that the requirements are formed by the system developer through direct interaction with the customer using a number of methods (for example, interviewing; prototyping; analysis of use cases; user stories; seminars, etc.). In this case, most often the requirements are formed by the developer himself, taking into account the opinion of the customer’s representative. The disadvantage of the existing approach is the problem of loss of knowledge transferred from the customer’s representatives to the developer, which results in the failure of projects, which is recorded by the existing statistics. As statistical studies show, more than half of projects for the creation of information systems (IS) are failures or require changes (in terms of budget, time and customer satisfaction). In modern research in the field of__ design and development of information systems, there is a tendency to involve the end user (customer) in the design process. To develop this idea, an approach is proposed to involve the user in the process of extracting requirements, where the developer will no longer be the person forming the requirements. The main idea of the approach is to develop special tools that allow you to independently transform the customer’s natural language into such a form of representation of the model of the process of solving professional problems, from which an interface will be built, which will allow extracting functional requirements from the unity (process model and interface).


2003 ◽  
Vol 9 (4) ◽  
pp. 325-363
Author(s):  
SYLVAIN DELISLE ◽  
BERNARD MOULIN ◽  
TERRY COPECK

Most information systems that deal with natural language texts do not tolerate much deviation from their idealized and simplified model of language. Spoken dialog is notoriously ungrammatical, however. Because the MAREDI project focuses in particular on the automatic analysis of scripted dialogs, we needed to develop a robust capacity to analyze transcribed spoken language. This paper summarizes the current state of our work. It presents the main elements of our approach, which is based on exploiting surface markers as the best route to the semantics of the conversation modelled. We highlight the foundations of our particular conversational model, and give an overview of the MAREDI system. We then discuss its three key modules, a connectionist network to recognise speech acts, a robust syntactic analyzer, and a semantic analyzer.


Author(s):  
Renato César Borges Ferreira ◽  
Lucinéia Heloisa Thom ◽  
José Palazzo Moreira de Oliveira ◽  
Diego Toralles Avila ◽  
Rubens Ideron dos Santos ◽  
...  

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