In recent literature, several models have been proposed for reproducing and understanding the tagging behavior of regular users. Until now, they all have been evaluated by visually comparing their ability to reproduce characteristic properties found in tagging systems. This paper is the first which applies statistical methods for comparing the different tagging models and for measuring the stat...

Currently proposed tagging ontologies are mostly focused on the definition of a common schema for representing the agents involved in a tagging process. In this paper we describe preliminary research around the idea of extending tagging ontologies by incorporating some domain specific class definitions and relations. We illustrate our idea with a particular use case where a tag recommendation s...

With this paper we will be exploring the usage of Collaborative Tagging in administrative Information Systems of the Estonian Defence Forces (EDF), which is currently using Information Systems (IS) mainly for administrative purposes. The potentials of using Collaborative Tagging in Interand Intra-organizational settings for knowledge management and sharing are not well understood at present. Mo...

This paper is to investigate some general features of social tagging and folksonomies along with their advantages and disadvantages, and to present an overview of a tag ontology that can be used to represent tagging data at a semantic level using Semantic Web technologies. Several tag ontologies have been developed with a specific purpose and used in various websites. However, in order to repre...

Named Entity Recognition and Classification is the process of identifying named entities and classifying them into one of the classes like person name, organization name, location name, etc. In this paper, we propose a tagging scheme Begin Inside Last -2 (BIL2) for the Subject Object Verb (SOV) languages that contain postposition. We use the Urdu language as a case study. We compare the F-measu...

We propose a novel semantic tagging task, sem-tagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets). Our tagger uses both word and character representations, and includes a novel residual bypass architecture. We evaluate the tagset both intrinsically on the new task of semantic tagging, as well as on Part-of-Speec...

Purpose – The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery. Design/methodology/approach – A defini...

Purpose – The purpose of the paper is to provide an overview of the collaborative tagging phenomenon and explore some of the reasons for its emergence. Design/methodology/approach – The paper reviews the related literature and discusses some of the problems associated with, and the potential of, collaborative tagging approaches for knowledge organisation and general resource discovery. A defini...

Although a number of people have participated in tagging activity on many Web 2.0 sites and the sites allow users to get their tagging data through Mash-up APIs, there are many issues (e.g. tag semantics) associated with social tagging or folksonomies. Many studies have focused on semantics of a tag that offers a way of exact meaning of an individual tag or among the tags. Surprisingly, there h...

Data sparseness in tagging highly inflectional languages with large tagsets and scarce training resources is a problem that cannot be addressed using only common tagging techniques. Tiered tagging is a two-stage technique that uses for tagging a smaller ”hidden” tagset and, in the second phase, recovers the original tagset using a lexicon and a set of hand-written rules. The recovering is possi...