Najmeh Mousavi Nejad
Ignoring End-User License Agreements (EULAs) for online services due to their length and complexity is a risk undertaken by the majority of online and mobile service users. This paper presents an Ontology-Based Information Extraction (OBIE) method for EULA term and phrase extraction to facilitate a better understanding by humans.
Kolawole John Adebayo
In this paper, we present a multi-featured supervised automatic keyword extraction system. We extracted salient semantic features which are descriptive of candidate keyphrases, a Random Forest classifer was used for training. The system achieved an accuracy of 58.3 % precision and has shown to outperform two top performing systems when benchmarked on a crowdsourced dataset.
Many ranking methods have been proposed for RDF data. These methods often use the structure behind the data to measure its importance. Recently, some of these methods have started to explore information from other sources such as the Wikipedia page graph for better ranking RDF data. In this work, we propose DBtrends, a ranking function based on query logs.