A Unifying Translation of Natural Language Patterns to Object and Process Modeling

2011 ◽  
pp. 259-267
Author(s):  
Alexandra Galatescu
Keyword(s):  
Natural Language ◽  
Process Modeling ◽  
Graphical Representation ◽  
Semantic Networks ◽  
Logical Interpretation ◽  
Syntactic Knowledge ◽  
Language Patterns ◽  
Classical Semantic

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.

Translation of Natural Language Patterns to Object and Process Modeling

2005 ◽  
pp. 2851-2856
Author(s):  
Alexandra Galatescu
Keyword(s):  
Information Systems ◽  
Natural Language ◽  
Process Modeling ◽  
Lifecycle Analysis ◽  
Organizational Models ◽  
Complex Information ◽  
Language Patterns ◽  
Analysis Design ◽  
Functional Process

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.

Assisting Process Modeling by Identifying Business Process Elements in Natural Language Texts

2017 ◽  
pp. 154-163 ◽  
Author(s):  
Renato César Borges Ferreira ◽  
Lucinéia Heloisa Thom ◽  
José Palazzo Moreira de Oliveira ◽  
Diego Toralles Avila ◽  
Rubens Ideron dos Santos ◽  
...  
Keyword(s):  
Natural Language ◽  
Business Process ◽  
Process Modeling ◽  
Process Elements

scholarly journals From Existential Graphs to Conceptual Graphs

2014 ◽  
pp. 439-472
Author(s):  
John F. Sowa
Keyword(s):  
Natural Language ◽  
Computational Linguistics ◽  
Formal Semantics ◽  
Semantic Networks ◽  
Conceptual Graphs ◽  
Computationally Efficient ◽  
Graphic Notation ◽  
Neural Processes ◽  
Existential Graphs ◽  
The Mind

Existential graphs (EGs) are a simple, readable, and expressive graphic notation for logic. Conceptual graphs (CGs) combine a logical foundation based on EGs with features of the semantic networks used in artificial intelligence and computational linguistics. CG design principles address logical, linguistic, and cognitive requirements: a formal semantics defined by the ISO standard for Common Logic; the flexibility to support the expressiveness, context dependencies, and metalevel commentary of natural language; and cognitively realistic operations for reasoning by induction, deduction, abduction, and analogy. To accommodate the vagueness and ambiguities of natural language, informal heuristics can supplement the formal semantics. With sufficient background knowledge and a clarifying dialog, informal graphs can be refined to any degree of precision. Peirce claimed that the rules for reasoning with EGs generate “a moving picture of the action of the mind in thought.” Some philosophers and psychologists agree: Peirce's diagrams and rules are a good candidate for a natural logic that reflects the neural processes that support thought and language. They are psychologically realistic and computationally efficient.

scholarly journals Analysis of Using Resources in Business Process Modeling and Simulation

2014 ◽  
Vol 16 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Olegas Vasilecas ◽  
Evaldas Laureckas ◽  
Audrius Rima
Keyword(s):  
Modeling And Simulation ◽  
Business Process ◽  
Process Modeling ◽  
Process Model ◽  
Graphical Representation ◽  
Business Process Modeling ◽  
Business Process Model ◽  
Simulation Tools ◽  
Resource Modeling ◽  
Process Instance

Abstract One of the key purposes of Business Process Model and Notation (BPMN) is to support graphical representation of the process model. However, such models have a lack of support for the graphical representation of resources, whose processes are used during simulation or execution of process instance. The paper analyzes different methods and their extensions for resource modeling. Further, this article presents a selected set of resource properties that are relevant for resource modeling. The paper proposes an approach that explains how to use the selected set of resource properties for extension of process modeling using BPMN and simulation tools. They are based on BPMN, where business process instances use resources in a concurrency manner.

HYBRID HEURISTIC SEMANTIC NETWORKS IN NATURAL LANGUAGE UNDERSTANDING

1995 ◽  
Vol 03 (04) ◽  
pp. 389-400 ◽  
Author(s):  
DAN CORBETT
Keyword(s):  
Natural Language ◽  
Semantic Network ◽  
Semantic Networks ◽  
Hybrid Network ◽  
Language Understanding ◽  
English Sentence ◽  
Hybrid Heuristic ◽  
Natural Language Text ◽  
Working Together ◽  
Language Text

It has never been demonstrated that a pure semantic analysts of an English sentence can be accomplished without any aid from a syntactic analyzer. It has therefore become interesting to demonstrate semantic systems which can be guided by fast and efficient syntactic methods. We show that non-probabilistic, abductive techniques can be used in a hybrid network to correctly interpret the meaning of an English sentence. We discuss the implementation of an abductive system which uses heuristics working together with a semantic network in an attempt to eliminate uncertainty and ambiguity in natural language text.

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