What is Semantic Similarity? Definition of Semantic Similarity: A concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning/semantic content. ( Wikipedia, 2012e ).
Inrupt’s dedicated team of developers, designers and business people have been working with a core of Solid experts and members of the open-source community to ensure it’s becoming robust, feature-rich and increasingly ready for wide-scale adoption.
What is the Semantic Web? Read on for a brief introduction to the Semantic Web, how to get started using it, and to understand why we should invest in making our content semantic.
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.
F. Abel, Q. Gao, G. Houben, и K. Tao. Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II, стр. 375--389. Berlin, Heidelberg, Springer-Verlag, (2011)
F. Abel, N. Henze, R. Kawase, и D. Krause. The Semantic Web: Research and Applications, 7th Extended
Semantic Web Conference, ESWC 2010, Heraklion, Crete, Greece,
May 30 - June 3, 2010, Proceedings, Part II, том 6089 из Lecture Notes in Computer Science, Springer, (мая 2010)
E. Agirre, и M. Stevenson. Word Sense Disambiguation: Algorithms and Applications, том 33 из Text, Speech and Language Technology, Springer, Dordrecht, The Netherlands, (2006)