In this paper, we attempt to improve topic-specific web crawling by disambiguating the sense of the topic. This would avoid crawling irrelevant links interlaced ...

Abstract - As the Internet grows rapidly, finding desirable information becomes a tedious and time consuming task. Topic-specific web crawlers, ...

This paper introduces an ontology based focused crawling system that exhibits high recall and high precision. The reason behind the power of the system is two– ...

Abstract— To automatically test web applications, crawling- based techniques are usually adopted to mine the behavior models, explore the state spaces or ...

In this paper, we propose a concept context graph to store the knowledge context based on the user's history of clicked web pages and to guide a focused crawler ...

Semantic similarity can also be applied to suggest if a GUI state is newly discovered and a DOM element is clickable under an unsupervised learning paradigm. We ...

We firstly build a concept lattice using the visited pages, extract the core concepts which reflect the user's query topic from the concept lattice, and then ...

Missing: measures | Show results with:measures

The semantic-based similarity measure provides the precise relevance score, even if the synonyms of the given topic occur in the web page. The unavailability of ...

We propose a new measure of semantic similarity integrating multiple conceptual relationships (SIMCR) for Web service discovery.