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Purpose – This paper is aimed at describing semantics equivalence of cultural terms in meurukon texts translated from Acehnese into Indonesian. A qualitative descriptive approach is used to analyze the context of semantics equivalence in these texts: varied semantics structure, especially the ones caused by the cultural gap between the two languages.

Design/Methodology/Approach – This research is designed to be of qualitative descriptive nature, wherein data are documented and analyzed using various methods proposed by Miles, Huberman, and Saldana (2014), such as data condensation, data display, drawing and verifying conclusions. The researcher is considered the key instrument in the whole process. The source of the data collected is from meurukon texts and its translation that consists of 623 sentences: they mainly comprise words and phrases that contain semantics equivalence of cultural terms.

Findings – The result of the research shows that there are 129 cultural terms found in 623 sentences. Of the analyzed data, it is seen that only 16.66% of the data is not equivalent with the target text, while 83.34% words and phrases of meurukon text are equivalent. This suggests that as a result of translation, the meurukon text has high semantics or lexical equivalences with the target text.

Research Limitations/Implications – This research is focused on semantics equivalence found in meurukon texts. The semantic equivalence here only pertains to lexical meaning of nouns and adjectives by using componential analysis.

Practical Implications – The result can be used in a sample of ways for the analysis of semantics equivalence of cultural terms in meurukon text translated from Acehnese into Indonesian using componential analysis.

Originality/Value – This research identifies meurukon as an oral tradition of Acehnese culture, which is in the question and answer format about Islamic law in Aceh, specifically North Aceh.

This study aims to develop a Web-based application system called Infomediary of Taiwanese Indigenous Peoples (ITIP) that can help individuals comprehend the society and culture of indigenous people. The ITIP is based on the use of Semantic Web technologies to integrate a number of data sources, particularly including the bibliographic records of a museum. Moreover, an ontology model was developed to help users search cultural collections by topic concepts.

Two issues were identified that needed to be addressed: the integration of heterogeneous data sources and semantic-based information retrieval. Two corresponding methods were proposed: SPARQL federated queries were designed for data integration across the Web and ontology-driven queries were designed to semantically search by knowledge inference. Furthermore, to help users perform searches easily, three searching interfaces, namely, ethnicity, region and topic, were developed to take full advantage of the content available on the Web.

Most open government data provides structured but non-resource description framework data, Semantic Web consumers, therefore, require additional data conversion before the data can be used. On the other hand, although the library, archive and museum (LAM) community has produced some emerging linked data, very few data sets are released to the general public as open data. The Semantic Web’s vision of “web of data” remains challenging.

This study developed data integration from various institutions, including those of the LAM community. The development was conducted based on the mode of non-institution members (i.e. institutional outsiders). The challenges encountered included uncertain data quality and the absence of institutional participation.

Government organizations often store large amounts of data and need to choose effective data governance service to achieve digital government. This paper aims to propose a novel multi-attribute group decision-making (MAGDM) method with multigranular uncertain linguistic variables for the selection of data governance service provider.

This paper presents a MAGDM method based on multigranular uncertain linguistic variables and minimum adjustment consensus. First, a novel transformation function is proposed to unify the multigranular uncertain linguistic variables. Then, the weights of the criteria are determined by building a linear programming model with positive and negative ideal solutions. To obtain the consensus opinion, a minimum adjustment consensus model with multigranular uncertain linguistic variables is established. Furthermore, the consensus opinion is aggregated to obtain the best data governance service provider. Finally, the proposed method is demonstrated by the application of the selection of data governance service provider.

The proposed consensus model with minimum adjustments could facilitate the consensus building and obtain a higher group consensus, while traditional consensus methods often need multiple rounds of modifications. Due to different backgrounds and professional fields, decision-makers (DMs) often provide multigranular uncertain linguistic variables. The proposed transformation function based on the positive ideal solution could help DMs understand each other and facilitate the interactions among DMs.

The minimum adjustment consensus-based MAGDM method with multigranular uncertain linguistic variables is proposed to achieve the group consensus. The application of the proposed method in the selection of data governance service provider is also investigated.

The study aims to investigate, through mapping analysis, the operation of knowledge organization systems (KOS) in different languages (English and Chinese), the types of term equivalence and the degree of similarity between different conceptual structures, and issues related thereto.

Terms are selected from the Art & Architecture Thesaurus developed by Getty Research Institute in the USA (source language) and the National Palace Museum in Taiwan participating in Taiwan e‐Learning and Digital Archives Program (target language). In respect of data analysis, mapping analysis and content analysis are both adopted.

Among the six types of term equivalence, “exact equivalence” appears most frequently. The degree of similarity between different conceptual structures can be divided into four types: similar structure, transferring part of the structure of source language into the system of target language by modeling; similar structure, but the structure of source language needs to be expanded or revised; dissimilar structure, the term in target language can be partially mapped to the term in source language; lack of structure, no matches between target language and source language.

The next step is to develop a more comprehensive conceptual structure that can incorporate multicultural perspectives. If the “partial equivalence” terms are further identified as important concepts, the problems of non‐exact equivalence terms and dissimilar conceptual structures can be solved by addressing the needs of English users in searching for Chinese art collections.

The study serves as a pilot study applicable to the development of multilingual KOS in the domain of Chinese fine arts, building the first demonstration model for the interoperability of KOS in Chinese and English.

A web service is a software system designed to support interoperable machine‐to‐machine or application‐to‐application interactions over networks. Descriptions enable web services to be discovered, used by other web services, and composed into new web services. Web service composition is a mechanism for creating new web services by reusing existing ones. In order to compose a web service, the right primitive services have to be discovered. A matchmaking technique enables discovering these services. Web services have functional, non‐functional, behavioral, and semantic characteristics. These four aspects of web services provide different key information about the service; therefore they have to be considered for description, matching, and composition. The purpose of this paper is to propose a formal description framework and a formal matchmaking technique that allows describing and discovering web services by considering their four characteristics.

In this paper, the description framework combines two existing languages for functional, semantic, and behavioral description, along with a simple and new language for non‐functional description.

A case study is used to illustrate the description framework and the matchmaking technique. The implementation and performance evaluation of the matchmaking technique is presented. The framework formalizes and integrates the languages in a common semantic domain in order to match and manipulate the different aspects together and formally. Isabelle is used by the matchmaking technique for discovering the partially and fully matched services.

The contribution of this paper lies in the new description framework and the new matchmaking technique.

Theories of computation related to the semantics of programming languages, like those of McCarthy and Scott, rely on non‐constructive mathematical “ideas.” Turing's theory does not assume any mathematical “ideas.” In the approaches of Floyd, McCarthy and Scott the attempt is to develop a general theory of “meaning of programs” and then to consider the problem of correctness and equivalence. From a constructive point of view, suggested in this paper, correctness is considered only from that of meaning of a particular program. A general theory of meaning is rejected because of its ontological assumptions. It is shown why for a constructive semantics of programming languages the distinction in ontology between a “mathematical algorithm” and the corresponding program is so fundamental.

The purpose of this paper is to explore a semantics representation framework for narrative images, conforming to the image-interpretation process.

This paper explores the essential features of semantics evolution in the process of narrative images interpretation. It proposes a novel semantics representation framework, ESImage (evolution semantics of image) for narrative images. ESImage adopts a hierarchical architecture to progressively organize the semantic information in images, enabling the evolutionary interpretation under the support of a graph-based semantics data model. Also, the study shows the feasibility of this framework by addressing the issues of typical semantics representation with the scenario of the Dunhuang fresco.

The process of image interpretation mainly concerns three issues: bottom-up description, the multi-faceted semantics representation and the top-down semantics complementation. ESImage can provide a comprehensive solution for narrative image semantics representation by addressing the major issues based on the semantics evolution mechanisms of the graph-based semantics data model.

ESImage needs to be combined with machine learning to meet the requirements of automatic annotation and semantics interpretation of large-scale image resources.

This paper sorts out the characteristics of the gradual interpretation of narrative images and has discussed the major issues in its semantics representation. Also, it proposes the semantic framework ESImage which deploys a flexible and sound mechanism to represent the semantic information of narrative images.

Efficient processing of XML queries is critical for XML data management and related applications. Previously proposed techniques are unsatisfactory. The purpose of this paper is to present Determined – a new prototype system designed for XML query processing and optimization from a system perspective. With Determined, a number of novel techniques for XML query processing are proposed and demonstrated.

The methodology emphasizes on query pattern minimization, logic‐level optimization, and efficient query execution. Accordingly, three lines of investigation have been pursued in the context of Determined: XML tree pattern query (TPQ) minimization; logic‐level XML query optimization utilizing deterministic transformation; and specialized algorithms for fast XML query execution.

Developed and demonstrated were: a runtime optimal and powerful algorithm for XML TPQ minimization; a unique logic‐level XML query optimization approach that solely pursues deterministic query transformation; and a group of specialized algorithms for XML query evaluation.

The experiments conducted so far are still preliminary. Further in‐depth, thorough experiments thus are expected, ideally carried out in the setting of a real‐world XML DBMS system.

The techniques/approaches proposed can be adapted to real‐world XML database systems to enhance the performance of XML query processing.

The reported work integrates various novel techniques for XML query processing/optimization into a single system, and the findings are presented from a system perspective.

On Justification: Economies of Worth (Boltanski & Thévenot, 1991/2006) was a synthetic and comprehensive parsing of common goods, goods that could and had to be justified in public. In response to Bourdieu’s critical sociology, they rather provided a robust and disciplined sociology of critique, the situated requirements of justification. They refused power and violence as integral to the operability of justification. They emphasized the ways in which conventions of worth afforded coordination, not their constitution of or by domination. They refused to make either capitalism, or the state, into primary motors of social order. Indeed, they refused social sphere, structure, or group as the ground of the good. They emphasized the cognitive capacities of agents. There was no passion, no desire, no bodily affect in these justified worlds. There wasn’t even any account of production of value, of children, or of money. And while they recognized the metaphysical aspect of the good and even used Christianity as a template for one of their cités, they rigorously excluded religion. The theory was designed to analyze moments of controversy, not quiescence or quietude. In his subsequent work, Boltanski aimed to address these absences. In this essay, we examine how Boltanski sought to restore love, violence, religion, production, and institution across five texts: Love and Justice as Competences (1990/2012), The New Spirit of Capitalism, co-authored with Eve Chiapello (1999/2007), The Foetal Condition: A Sociology of Engendering and Abortion (2004/2013), On Critique: A Sociology of Emancipation (2009/2011), and La «Collection», Une Forme Neuve du Capitalisme – La Mise en Valeur Economique du Passé et ses Effets (2014) co-authored with Arnaud Esquerre.