Linguistics and LIS: A Research Agenda

Linguistics and Library and Information Science (LIS) are both interdisciplinary fields that draws from areas such as languages, psychology, sociology, cognitive science, computer science, anthropology, education, and management. The theories and methods of linguistic research can have significant explanatory power for LIS. This article presents a research agenda for LIS that proposes the use of linguistic analysis methods, including discourse analysis, typology, and genre theory

Knowledge Representation with Ontologies: The Present and Future

Recently, we have seen an explosion of interest in ontologies as artifacts to represent human knowledge and as critical components in knowledge management, the semantic Web, business-to-business applications, and several other application areas. Various research communities commonly assume that ontologies are the appropriate modeling structure for representing knowledge. However, little discussion has occurred regarding the actual range of knowledge an ontology can successfully represent

PROMOTING OUTCOME BASED LEARNING (OBL) IN A LINGUISTICS COURSE

Teaching and learning linguistics in higher education is very important especially for English students because of learning language aspects. Linguistics is a course learnt by English students in Department of English Education. In the process of teaching and learning linguistics, the lecturers should focus on the outcome of the learning. They do not only demonstrate how to understand the branches of linguistics such as morphology, semantics, discourse but they also should be able to make a successful teaching and learning. One of the ways is by applying Outcome Based Learning (OBL) which is rarely applied. This approach covers three basic elements: designing the course intended learning outcomes, designing teaching and learning activities, and designing assessment. That is why the literature study is used to know whether OBL can be a potential approach in teaching and learning a linguistics course in Department of English Education. This article focuses on how OBL contributes in the teaching and learning a linguistics course

On the role of domain ontologies in the design of domain-specific visual modeling langages

Domain-Specific Visual Modeling Languages should provide notations and abstractions that suitably support problem solving in well-defined application domains. From their user’s perspective, the language’s modeling primitives must be intuitive and expressive enough in capturing all intended aspects of domain conceptualizations. Over the years formal and explicit representations of domain conceptualizations have been developed as domain ontologies. In this paper, we show how the design of these languages can benefit from conceptual tools developed by the ontology engineering community

DETERMINING LANGUAGE TYPOLOGY BASED ON DIRECTED MOTION LEXICALIZATION PATTERNS AS A LANGUAGE DOCUMENTATION: A CASE STUDY ON JAVANESE

Every language has directed motion constructions, but the lexicalization pattern of the constructions may differ from one language to another. The similarities and differences of directed motion lexicalization patterns can be used as the basis for classifying languages typologically. This paper aims to discuss how language typology can be determined based on directed motion lexicalization patterns found in a language. In this study I use the data of Javanese to examine whether Javanese can be classified into Talmy’s (1975, 1985) typology of verb-framed or satellite framed languages. Some problems and implications of this language typology will be discussed to see whether there is interaction between directed motion lexicalization patterns and other syntactic structures. The data of Javanese show that Javanese has some verb framing and satellite framing characteristics, and so language typology is not exactly definite in the sense that there are some restrictions that need to be considered

Toward Semantics-aware Representation of Digital Business Processes

An extended enterprise (EE) can be described by a set of models each representing a specific aspect of the EE. Aspects can for example be the process flow or the value description. However, different models are done by different people, which may use different terminology, which prevents relating the models. Therefore, we propose a framework consisting of process flow and value aspects and in addition a static domain model with structural and relational components. Further, we outline the usage of the static domain model to enable relating the different aspects

Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology

Every culture and language is unique. Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia. We develop sets of sentiment- and emotion-polarized visual concepts by adapting semantic structures called adjective-noun pairs, originally introduced by Borth et al. (2013), but in a multilingual context. We propose a new language-dependent method for automatic discovery of these adjective-noun constructs. We show how this pipeline can be applied on a social multimedia platform for the creation of a large-scale multilingual visual sentiment concept ontology (MVSO). Unlike the flat structure in Borth et al. (2013), our unified ontology is organized hierarchically by multilingual clusters of visually detectable nouns and subclusters of emotionally biased versions of these nouns. In addition, we present an image-based prediction task to show how generalizable language-specific models are in a multilingual context. A new, publicly available dataset of >15.6K sentiment-biased visual concepts across 12 languages with language-specific detector banks, >7.36M images and their metadata is also released.Comment: 11 pages, to appear at ACM MM'1