Developing computer software system is a crucial part of the intelligent design. In order to solve problems presented in software system quality analysis, this paper proposes a quality analysis model for computer software system based on fuzzy information content. In this model, fuzzy information content of quality analysis indicators is defined according to information axiom, and a software sy...

Human language content in video is typically manifested either as spoken audio that accompanies the visual content, or as text that is overlaid on the video or contained within the video scene itself. The bulk of research and engineering in language extraction from video thus far has focused on spoken language content. More recently, researchers have also developed technologies capable of detec...

INTRODUCTION Eugene Garfield laid one of the key empirical foundations for modern information science through the innovation of the citation indexing of science. He created the impact factor as part of the process of developing the Science Citation Index (SCI) produced by his company, the Institute for Scientific Information (ISI). In determining the coverage of this index, Garfield utilized tw...

Our goal is to link social media content to contextually relevant information in complementary media in the domain of daily news. Web links from tweets with user-included URLs are transferred to URLless tweets, using manually annotated events. The new cross-media ties establish authoritative feedback documents for unsupported social media content, and enable extracting an improved set of event-...

KEYWORDS The terms 'unified index' and 'unified search index' libraries are getting associated with discovery services. Discovery services are that unified search index to search content from all sources they have access to from a single index. It ia single and simply entry point which searches the single entry point which searches the pre-indexing metadata and fulltext documents. Similarly web...

We present analyses aimed at eliciting which specific aspects of discourse provide the strongest indication for text importance. In the context of content selection for single document summarization of news, we examine the benefits of both the graph structure of text provided by discourse relations and the semantic sense of these relations. We find that structure information is the most robust ...

We present analyses aimed at eliciting which specific aspects of discourse provide the strongest indication for text importance. In the context of content selection for single document summarization of news, we examine the benefits of both the graph structure of text provided by discourse relations and the semantic sense of these relations. We find that structure information is the most robust ...