• Russian Language and Literature
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• no.61
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• pp.89-112
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• 2018

This paper deals with pronoun doubling construction commonly attested in Colloquial Russian. The doubling phenomena in general are observed among various languages and in various levels of language. The Russian pronoun doubling construction is composed of a lexical noun, whether argument or adjunct, that is attracted to a sentence initial position with a pronoun copy immediately following it. The pronominal copy bears the identical case. From the semantic side, the fronted noun-pronoun phrase forms a topic, and often elicits the reading of predicate with permanent property. After Sirotinina(1974)'s observation, such aspectual restriction has been widely accepted in the scholarship, and was reinterpreted by McKoy (1998, 2003) as the distinction Individual-level vs. Stage-level predicates in terms of Milsark (1974) and Carlson (1977). I argue that such an aspectual interpretation or restriction is not derived from at the construction level, but is epiphenomenal to the small clause, which lies at the bottom of derivation. And I propose that the small-clause based structure is derived by the Generic Topic Operator, which is base generated at Spec, TP. With these two theoretical apparatuses, idiosyncratic properties both in syntax and semantics of the construction can be effectively accounted for.

• Journal of KIISE:Software and Applications
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• v.33 no.9
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• pp.787-801
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• 2006

Ontology merging describes the process of integrating two ontologies into a new ontology. How this is done best is a subject of ongoing research in the Semantic Web, Data Integration, Knowledge Management System, and other ontology-related application systems. Earlier research on ontology merging, however, has studied for developing effective ontology matching approaches but missed analyzing and solving methods of problems of merging two ontologies given correspondences between them. In this paper, we propose a specific ontology merging process and a generic operator, T-MERGE, for integrating two source ontologies into a new ontology. Also, we define a taxonomy of merging conflicts which is derived from differing representations between input ontologies and a method for detecting and resolving them. Our T-MERGE operator encapsulates the process of detection and resolution of conflicts and merging two entities based on given correspondences between them. We define a data structure, MergeLog, for logging the execution of T-MERGE operator. MergeLog is used to inform detailed results of execution of merging to users or recover errors. For our experiments, we used oriental philosophy ontologies, western philosophy ontologies, Yahoo western philosophy dictionary, and Naver philosophy dictionary as input ontologies. Our experiments show that the automatic merging module compared with manual merging by a expert has advantages in terms of time and effort.