Automatic case acquisition from texts for process-oriented case-based reasoning

This paper introduces a method for the automatic acquisition of a rich case representation from free text for process-oriented case-based reasoning. Case engineering is among the most complicated and costly tasks in implementing a case-based reasoning system. This is especially so for process-oriented case-based reasoning, where more expressive case representations are generally used and, in our opinion, actually required for satisfactory case adaptation. In this context, the ability to acquire cases automatically from procedural texts is a major step forward in order to reason on processes. We therefore detail a methodology that makes case acquisition from processes described as free text possible, with special attention given to assembly instruction texts. This methodology extends the techniques we used to extract actions from cooking recipes. We argue that techniques taken from natural language processing are required for this task, and that they give satisfactory results. An evaluation based on our implemented prototype extracting workflows from recipe texts is provided.Comment: Sous presse, publication pr\'evue en 201

Business Ontology for Evaluating Corporate Social Responsibility

This paper presents a software solution that is developed to automatically classify companies by taking into account their level of social responsibility. The application is based on ontologies and on intelligent agents. In order to obtain the data needed to evaluate companies, we developed a web crawling module that analyzes the company’s website and the documents that are available online such as social responsibility report, mission statement, employment structure, etc. Based on a predefined CSR ontology, the web crawling module extracts the terms that are linked to corporate social responsibility. By taking into account the extracted qualitative data, an intelligent agent, previously trained on a set of companies, computes the qualitative values, which are then included in the classification model based on neural networks. The proposed ontology takes into consideration the guidelines proposed by the “ISO 26000 Standard for Social Responsibility”. Having this model, and being aware of the positive relationship between Corporate Social Responsibility and financial performance, an overall perspective on each company’s activity can be configured, this being useful not only to the company’s creditors, auditors, stockholders, but also to its consumers.corporate social responsibility, ISO 26000 Standard for Social Responsibility, ontology, web crawling, intelligent agent, corporate performance, POS tagging, opinion mining, sentiment analysis

A Review and Research Methodology of Chinese University EFL Students’ Perspectives on Anxiety in Native and Non-Native English Speaker Classes

The aim of this paper is to reveal how native and non-native speaker EFL (English as a foreign language) teachers influence students’ levels of Foreign Language Anxiety (FLA) in classrooms. Researchers in the area of second and foreign language acquisition have long been studying the role that anxiety plays among foreign language learners. Their findings are reported and analyzed in the first part of this paper. Then, research methodology is presented on two groups of students (180 in total) of whom 90 is in NS (Native Speaker) class and 90 in NNS (Non-Native Speaker) class taking English as a foreign language course for 4 hours a week at one university in China

A BIM-based value for money assessment in public-private partnership: an overall review

Public-private partnerships (PPPs) have proliferated and adapted to public development in recent decades; within it, the value for money (VfM) assessment defines the feasibility of the project procurement model as one of the essential components of PPP. However, evaluating the VfM in PPPs remains problematic. Given concerns about PPP profitability, a more integrated VfM evaluation is urgently needed to manage multiple indicators along the project lifecycle. Building information management (BIM), popular in architecture, engineering, and construction, provides resources that could support the VfM to a great extent. This paper uses a review approach to identify the current issues that are affecting VfM assessments and suggests that BIM, functioning throughout the PPP lifecycle, could support decision-making in VfM processes in order to satisfy service targets

The Burden of Choice, the Complexity of the World and Its Reduction: The Game of Go/Weiqi as a Practice of "Empirical Metaphysics

The main aim of the text is to show how a game of Go (Weiqi, baduk, Igo) can serve as a model representation of the ontological-metaphysical aspect of the actor–network theory (ANT). An additional objective is to demonstrate in return that this ontological-metaphys⁠ical aspect of ANT represented on Go/Weiqi game model is able to highlight the key aspect of this theory—onto-methodological praxis

From Rationality To Relationality: Teacher-Student Relationship As Unknowing

This dissertation reimagines the teacher-student relationship through a philosophical approach that draws on Laozi, Karen Barad, Deleuze & Guattari, and Emmanuel Levinas. The teacher-student relationship is normally considered a relationship of the knower (teacher) and the unknower (student) based on the modern western tradition of episteme. This dissertation interrogates the modern binary of the teacher/student, subject/object relationship by bringing ontology and ethics into educational discourse. The problematic practices of modern schooling include the reduction of teaching to knowledge transmission, and the rigid dichotomy of a subject/object relation between teacher and student. Following a Taoist Way of philosophical thinking, this work re-imagines the teacher-student relationship by shifting the understanding of “knowing,” “being” and “child” from a modern perspective to an “ethico-onto-epistemological” perspective. Re-thinking the modern concept of knowing into the entanglement of knowing, being, and ethics does not mean we depreciate the value of knowing; rather we adhere to a fundamental break in a privileging of the discursive and a thinking of knowledge as the sole domain of epistemology. Laozi’s philosophy of “wu-wei”, Barad’s concepts of “intra-actions,” “ethico-onto-epistemology,” Deleuze & Guattari’s concepts of “rhizome” and “becoming,” and Levinas’ ethics of the “Other” propose a “pedagogy of unknowing”, where both teachers and students partake in an intra-active process of “becoming.” Based on the pedagogy of unknowing, I argue that it is not knowledge or the knowledge of the Other that is important, rather, our orientation to the Other’s unknowability as a starting point for learning from the Other. Ultimately, in responding to the rational dualism and the crisis of representation in language and theories, the last chapter turns to silence as the end/beginning of the conversation

Natural language processing

Beginning with the basic issues of NLP, this chapter aims to chart the major research activities in this area since the last ARIST Chapter in 1996 (Haas, 1996), including: (i) natural language text processing systems - text summarization, information extraction, information retrieval, etc., including domain-specific applications; (ii) natural language interfaces; (iii) NLP in the context of www and digital libraries ; and (iv) evaluation of NLP systems

i-JEN: Visual interactive Malaysia crime news retrieval system

Supporting crime news investigation involves a mechanism to help monitor the current and past status of criminal events. We believe this could be well facilitated by focusing on the user interfaces and the event crime model aspects. In this paper we discuss on a development of Visual Interactive Malaysia Crime News Retrieval System (i-JEN) and describe the approach, user studies and planned, the system architecture and future plan. Our main objectives are to construct crime-based event; investigate the use of crime-based event in improving the classification and clustering; develop an interactive crime news retrieval system; visualize crime news in an effective and interactive way; integrate them into a usable and robust system and evaluate the usability and system performance. The system will serve as a news monitoring system which aims to automatically organize, retrieve and present the crime news in such a way as to support an effective monitoring, searching, and browsing for the target users groups of general public, news analysts and policemen or crime investigators. The study will contribute to the better understanding of the crime data consumption in the Malaysian context as well as the developed system with the visualisation features to address crime data and the eventual goal of combating the crimes