A Cognitive Approach to Semantic Disorientation in Mandarin I —Theoretical Prerequisites and a Case Study

Semantic disorientation refers to the phenomenon where sentence constituents with direct syntactic relations have no direct semantic linkage. The phenomenon is ubiquitous in Mandarin and related structures have been frequent research topics in the field of Chinese language study. However, there’s no systemic description of their syntactic and semantic features, nor in-depth exploration of the linguistic and non-linguistic motivations. From the perspective of cognitive linguistics, the current study approaches this phenomenon with a usage-based and non-derivational language view. The phenomenon is defined and categorized on the cognitive and psychological basis and a descriptive and explanative frame-work is built for a more accurate and adequate account of the phenomenon. The syntactic and semantic features, as well as the linguistic and non-linguistic motivations of the disoriented verb-complement constructions are addressed as a case study.

The Academic Landscapes of Manufacturing Enterprise Performance and Environmental Sustainability: A Study of Commonalities and Differences

This article reviews literature on manufacturing enterprise performance (MEP) and environmental sustainability (ES) to identify their commonalities and distinguishing factors; it is expected to help determine gaps and paths for future research. Topics are classified based on patterns in the citation networks of 7308 and 6275 MEP and ES articles, respectively. Additionally, a semantic linkage was computed to reveal overlap in vocabulary between the two topics. A total of 17 and 21 topics were found in MEP and ES, respectively, where the main shared theme was the green supply chain. However, research on biofuels is unique to ES, and privatization is unique to MEP, among others. The concept of “performance” has also been covered by MEP and ES researchers. This article provides an objective snapshot of current research trends based on quantitative data, and the findings may be used to guide future research directions at the intersection of MEP and ES.

The Representation of Facts about Old Russian Charters on the Semantic Web: Attempto Controlled English (ACE)

This paper discusses some promising approaches to the representation of meta-information (facts) about medieval Russian charters on the Semantic Web in order to provide researchers with appropriate tools for the capture, aggregation, and semantic linkage of facts related to the charters and automatic logical inference. The authors demonstrate the actual and potential possibilities of a controlled natural language, ACE (Attempto Controlled English), in the representation of the meta-information about Old Russian charters. Recent research conducted by the authors confirms that the prospects for using ACE as a tool for representation of the facts about the charters on the Semantic Web are closely connected with the possibilities to make logic inferences based on ACE texts. Therefore, special attention is devoted to ACE tools, especially to Ace Rules and ACE Reasoner (RACE).

A Study of Pakistani English Newspaper Texts: An Application of Halliday and Hasan’s Model of Cohesion: A Discourse Analysis

This article aims to examine the patterns of each type of cohesive device in light of the cohesion model proposed by Halliday and Hasan in 1976. Halliday and Hasan identified five different types of cohesion: reference, substitution, ellipsis, conjunction and lexical cohesion in the text. This study uses the selected weekly articles authored by Cyril Almeida from well-known daily published English Newspaper “The Daily Dawn”. Analysis of text comprises Halliday and Hasan’s cohesion model, and analyzes linguistic techniques used in newspaper texts. The study finds repeated occurrences of cohesive devices such as referencing, substitution, ellipsis, conjunction, and lexical cohesion. Moreover, reiteration is found to be the most frequently occurring cohesive device. Reference from grammatical cohesion also outnumbers all other subcategories of cohesion. In addition, many of the literary terms employed in articles make it diverse in uncovering some of the political contexts to the audience. Hence, it concludes that in the overall occurrences of lexical cohesion, reiteration and collocation are dominant; suggesting that the texts of selected news articles of Cyril Almeida are cohesive mainly because of lexical cohesion, i.e. semantic linkage through vocabulary rather than grammar.

A study of Pakistani English Newspaper Texts: An application of Halliday and Hasan’s Model of Cohesion: A Discourse Analysis

The research aims to examine the patterns of each type of cohesive device in the light of cohesion model proposed by Halliday and Hasan in 1976. Halliday and Hasan (1976) identified five different types of cohesion: reference, substitution, ellipsis, conjunction and lexical cohesion in the text. This study uses the selected weekly articles authored by Cyril Almeida from well-known daily published English Newspaper “The Daily Dawn”. Analysis of text comprises Halliday and Hasan’s cohesion model, and analysis linguistic techniques used in newspaper texts. The study finds repeated occurrences of cohesive devises such as referencing, substitution, ellipsis, conjunction and lexical cohesion. Moreover, reiteration is found to be the most frequently occurring cohesive device. In addition, reference from grammatical cohesion also outnumbered all other subcategories of cohesion. In addition, a many of literary terms used in articles makes it diverse in uncovering some of political context to audience. Hence, it concludes that in, the overall occurrences of lexical cohesion i.e. reiteration and collocation are dominant; suggesting that the texts of selected news articles of Cyril Almeida are cohesive mainly because of lexical cohesion i.e. semantic linkage through vocabulary rather than grammar

Semantic Web-Based Agricultural Information Integration

A huge volume of information is available in the worldwide web. However, the demand is on relevant information rather than available information, which are often heterogeneous and distributed. Agriculture is one such domain, which includes information like soil, crops, weather, etc. under one roof. This information is in different representations and structures (e.g., weather). This scenario leads to a challenge of how to integrate the available and heterogeneous agricultural information to deliver better production. As the information on the web is syntactically structured, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this chapter, a semantic-based agricultural information system (AIS) is proposed that addresses heterogeneity issues among weather systems and integrates information like soil, weather, crop, and fertilizers. AIS helps the farmers regarding the type of crop/soil, crop/climate, fertilizer applications, diseases, and prevention methods using effective retrieval of information from integrated systems.

Semantic Web Based Agricultural Information Integration

Huge volume of information is available in the WWW. However, the demand is on relevant information rather than available information, which are often heterogeneous and distributed. Agriculture is one such domain, which includes information like soil, crops, weather, etc., under one roof. This information is in different representations and structures e.g. weather. This scenario leads to a challenge that how to integrate the available and heterogeneous agricultural information to deliver better production. The information on the web is syntactically structured but, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this paper, a semantic based Agricultural Information System (AIS) is proposed which addresses heterogeneity issues among weather systems and integrates information like soil, weather, crop and fertilizers. AIS helps the farmers regarding the type of crop/soil, crop/climate, fertilizer applications, diseases and prevention methods using effective retrieval of information from integrated systems.

Semantic Web Based Agricultural Information Integration

Huge volume of information is available in the WWW. However, the demand is on relevant information rather than available information, which are often heterogeneous and distributed. Agriculture is one such domain, which includes information like soil, crops, weather, etc., under one roof. This information is in different representations and structures e.g. weather. This scenario leads to a challenge that how to integrate the available and heterogeneous agricultural information to deliver better production. The information on the web is syntactically structured but, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this paper, a semantic based Agricultural Information System (AIS) is proposed which addresses heterogeneity issues among weather systems and integrates information like soil, weather, crop and fertilizers. AIS helps the farmers regarding the type of crop/soil, crop/climate, fertilizer applications, diseases and prevention methods using effective retrieval of information from integrated systems.