In this paper we describe a novel approach to extract contextual information from user reviews, which can be exploited by context-aware recommender systems. The approach makes use of a generic, large-scale context taxonomy that is composed of semantic entities from DBpedia, the core ontology and knowledge base of the Linked Data initiative. The taxonomy is built in a semi-automatic fashion thro...

A new method to develop an objective Quality Taxonomy for an interactive auditory virtual environment (AVE) with the help of a DELPHI expert survey is presented. The development process with the steps: purpose identification, building, evaluation and documentation is explained. The Quality Taxonomy developed here includes the descriptive and relation orientated characterisation. Additionally, i...

In many machine learning applications that deal with sequences, there is a need for learning algorithms that can effectively utilize the hierarchical grouping of words. We introduce Word Taxonomy guided Naive Bayes Learner for the Multinomial Event Model (WTNBL-MN) that exploits word taxonomy to generate compact classifiers, and Word Taxonomy Learner (WTL) for automated construction of word tax...

This paper presents an interaction taxonomy for classifying and identifying requirement interactions in software systems. The proposed taxonomy is in the form of a four-layered pyramid that defines 6 Main Interaction Categories in the first layer, 17 Interaction Subcategories in the second layer, 29 Interaction Types in the third layer, and 29 Interaction Scenarios in the fourth layer. Each int...

This study aimed at finding features of collocational deviations in the translations of Tuesdays with Mor- rie. In this direction, categories of collocations and collocational clashes, as well as causes of collocation- al clashes were explored. The present work investigated five Persian translations of the novel. All the books were examined completely and all possible collocational clashes were...

The growing number of eXtensible Business Reporting Language (XBRL) projects around the world and strong interest from bodies such as Security Exchange Commission in the United States (SEC), Central European Banking Supervisors in the European Union (CEBS) or International Accounting Standards Board (IASB) in building XBRL taxonomies demonstrate the need for formalisation and methodical approac...

The aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling-driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role...

Thoroughly characterizing and continuously monitoring the public health workforce is necessary for ensuring capacity to deliver public health services. A prerequisite for this is to develop a standardized methodology for classifying public health workers, permitting valid comparisons across agencies and over time, which does not exist for the public health workforce. An expert working group, al...

Taxonomy is becoming indispensable to a growing number of applications in software engineering such as software repository mining and defect prediction. However, the existing related taxonomies are always manually constructed. The sizes of these taxonomies are small and their depths are limited. In order to show the full potential of taxonomies in software engineering applications, in this pape...

This paper describes the philosophy behind our tool called “Legal Taxonomy Syllabus”, the analytical instruments it provides and some case studies. The Legal Taxonomy Syllabus is an ontology based tool designed to annotate and recover multi-lingua legal information and build conceptual dictionaries. The Legal Taxonomy Syllabus allows to build legal dictionaries in a bottom up fashion starting f...