Knowledge-guided semantic computing network

The Effects of Guided and Unguided Semantic Mapping on Iranian EFL Learners’ Vocabulary and Grammar Knowledge

ASKNet: Automated Semantic Knowledge Network

The ASKNet system is an attempt to automatically generate large scale semantic knowledge networks from natural language text. State-of-the-art language processing tools, including parsers and semantic analysers, are used to turn input sentences into fragments of semantic network. These network fragments are combined using spreading activation-based algorithms which utilise both lexical and sema...

DNA Computing Approach to Semantic Knowledge Representation

DNA computing has a lot of potential, in terms of ability to implement a relational database with circular molecules. In this work, a new DNA-based semantic model is proposed and described theoretically for implementing DNA based memories. This model, referred to as ‘semantic model based on molecular computing’ (SMC), has the structure of a graph formed by the set of all attribute-value pairs c...

Semantic Computing and Language Knowledge Bases

As the proposition of the next-generation Web – semantic Web, semantic computing has been drawing more and more attention within the circle and the industries. A lot of research has been conducted on the theory and methodology of the subject, and potential applications have also been investigated and proposed in many fields. The progress of semantic computing made so far cannot be detached from...

An Association Network for Computing Semantic Relatedness

To judge how much a pair of words (or texts) are semantically related is a cognitive process. However, previous algorithms for computing semantic relatedness are largely based on co-occurrences within textual windows, and do not actively leverage cognitive human perceptions of relatedness. To bridge this perceptional gap, we propose to utilize free association as signals to capture such human p...