In this paper, we proposed the learning resource ontology(LRO) models to formally describe learning content and learning context, respectively. In addition to utilizing the models...
Zongkai Yang, Tao Huang, Qingtang Liu, Xia Li, Bei...
We investigate the idea of finding semantically related search engine queries based on their temporal correlation; in other words, we infer that two queries are related if their p...
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Background: Semantic similarity scores for protein pairs are widely applied in functional genomic researches for finding functional clusters of proteins, predicting protein functi...
Jing Wang 0004, Xianxiao Zhou, Jing Zhu, Chenggui ...
Model-based design methods, and model-based architectures, have gained adoption in authoring applications for the WWW. This is further reinforced by the increasing visibility of t...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...