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.
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.
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.
Semantic UI React is the official React integration for Semantic UI: jQuery Free; Declarative API; Augmentation; Shorthand Props; Sub Components; Auto Controlled State.
In the Beginning... ...there was no inheritance and no composition, only code. And the code was unwieldy, repetitive, blocky, unhappy, verbose, and tired. Copy and Paste were the primary mechanisms of code reuse. Procedures and functions were rare, newfangled gadgets viewed with suspicion. Calling a procedure was expensive! Separating pieces of code from the main logic caused confusion! It was a Dark Time.
The desire for better Web APIs is what motivated the creation of JSON-LD, not the Semantic Web. If you want to make the Semantic Web a reality, stop making the case for it and spend your time doing something more useful, like actually making machines smarter or helping people publish data in a way that’s useful to them.
he W3C Web Ontology Language (OWL) is a Semantic Web language designed to represent rich and complex knowledge about things, groups of things, and relations between things.
F. Abel, Q. Gao, G. Houben, und K. Tao. Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II, Seite 375--389. Berlin, Heidelberg, Springer-Verlag, (2011)
F. Abel, N. Henze, R. Kawase, und 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, Volume 6089 von Lecture Notes in Computer Science, Springer, (Mai 2010)
E. Agirre, und M. Stevenson. Word Sense Disambiguation: Algorithms and Applications, Volume 33 von Text, Speech and Language Technology, Springer, Dordrecht, The Netherlands, (2006)