This paper reviews research into social tagging and
folksonomy (as reflected in about 180 sources published
through December 2007). Methods of researching the
contribution of social tagging and folksonomy are described,
and outstanding research questions are presented. This is a
new area of research, where theoretical perspectives and
relevant research methods are only now being defined. This
paper provides a framework for the study of folksonomy,
tagging and social tagging systems. Three broad approaches
are identified, focusing first, on the folksonomy itself (and the
role of user tags in indexing and retrieval); secondly, on
tagging (and the behaviour of users); and thirdly, on the
nature of social tagging systems (as socio-technical frameworks).
We propose a novel attention network for document annotation with user-generated tags. The network is designed according to the human reading and annotation behaviour. Usually, users try to digest the title and obtain a rough idea about the topic first, and then read the content of the document. Present research shows that the title metadata could largely affect the social annotation. To better utilise this information, we design a framework that separates the title from the content of a document and apply a title-guided attention mechanism over each sentence in the content. We also propose two semanticbased loss regularisers that enforce the output of the network to conform to label semantics, i.e. similarity and subsumption. We analyse each part of the proposed system with two real-world open datasets on publication and question annotation. The integrated approach, Joint Multi-label Attention Network (JMAN), significantly outperformed the Bidirectional Gated Recurrent Unit (Bi-GRU) by around 13%-26% and the Hierarchical Attention Network (HAN) by around 4%-12% on both datasets, with around 10%-30% reduction of training time.
S. Pandya, P. Virparia, und R. Chavda. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 5 (1):
09 - 15(Februar 2016)