A Topologically Linguistic Approach dor Conceptual Analysis: Case Study on "Community"
Date Issued
2007
Date
2007
Author(s)
Tseng, Lan-Ting
Abstract
In 2003, Taiwan came under the attack of Severe Acute Respiratory Syndrome (SARS). The SARS epidemic had a huge impact on Taiwan society. From the event, we observed that no one can be regardless of interdisciplinary collaboration in the delivering of public policies. However, collaboration needs communication. Especially when a team comprises various professionals; they have to value joint comprehension under trans-disciplinary situations. That is the reason for the research to propose a new semi-automatic skill to visualize implicated contexts in case of the term 「社區[shèqū]」(“community”).o analyze “community”, this research proposes an analytical mechanism based on computational linguistics and ontological engineering. Hence, the way to identify concepts among knowledge domains (various types of speakers) is a step-by-step procedure:.Collecting Data: after retrieving all documents, we keep all the sentences containing the term “community”. A sentence is an entry to be analyzed..Implementing analysis: for data processing, the mechanism is made for carrying transformations to increase the maneuverability. Then, a sentence would be decomposed as tuples to reveal their concepts and operators. .Profiling Concepts: the corpus is analyzed to identify concepts and their relationships. Thus, the research creates a schema for profiling each sentence. The schema is a framework not only to structure our knowledge in lexical chains, but also to explicate their interpretations in context. .Mapping conceptual graphs: the study generates a well-formed database to exhibit the given texts (community) within their contexts according to the analysis. Results are categorized as the extended senses. Furthermore, the research applies the graphic tool GRAPHVIZ which conveys the star topologies. onclusively, all the star topologies show various kinds of conceptual structures of “community”. Apparently, there seems to be the shifting of domain ontologies while contrasting to knowledge domains and relationships. To be convinced, we apply two strategies to evaluate the results and the method of the research. For the result, the research uses double-blind test to check the transformation from sentence to tuple. For the method, the research makes a contrast to the Chinese Sketch Engine (CSE) which owns the largest readership globally. Also, we apply several statistic indexes to measure the difference between CSE and the four domains. Then, by ways of Index of Qualitative Variance (IQV) and Chi-square test, the research has verified its method on the dimension of variance and diversity.
Subjects
community
computational linguistics
ontological engineering
concepts
star topology
Type
thesis
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