Companies use Extract-Transform-Load (Etl) tools to save time and costs when developing and maintaining data migration tasks. Etl tools allow the definition of often complex processes to extract, transform, and load heterogeneous data into a data warehouse or to perform other data migration tasks. In larger organizations many Etl processes of different data integration and warehouse projects ac...

We propose a mid-level melody-based representation that incorporates melodic, rhythmic and structural aspects of a music signal and is useful for calculating audio similarity measures. Most current approaches to music similarity use either low-level signal features, such as MFCCs that mostly capture timbral characteristics of music and contain little semantic information, or require symbolic re...

The credibility of website is a sort of psychological feeling, in other words, a sense of trust and its intensity towards the enterprise’s website produced by the customers from individual or collective perspective. The credibility of website has become a decisive factor for the website’s survival and an important driving force of promotion and market expansion. Currently, the credibility of we...

We propose in this paper a method for extracting highlights from a sport TV broadcast. Unlike the existing highlights-extracting approaches our method does not require modeling of domainspecific events that are supposed to be interpreted by the user as highlights. Instead, we search for highlights at places where strong excitement is evoked in the user by the content of a video. It is namely re...

In model management, the Merge operator takes as input a pair of schemas, together with a set of mappings between their objects, and returns an integrated schema. In this paper we present a new approach to implementing the Merge operator based on semantic mappings between objects. Our approach improves upon previous work by (1) using formal low-level transformation rules that can be translated ...

We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and reliability information of tracked objects to learn a hierarchy of state and event concepts. Simultaneously, the approach recognises the states and events of the tracked objects. This approach proposes an automatic bri...

The development of large sample surveys creates new opportunities for analysis of subpopulations that would hitherto have been impossible to examine systematically. But it also raises key challenges. Low level measurement error can potentially lead to substantial biases in estimates drawn from small subsamples. This study details strategies researchers may take to make inferences in the context...

We present a real-time strategy (RTS) game AI agent that integrates multiple specialist components to play a complete game. Based on an analysis of how skilled human players conceptualize RTS gameplay, we partition the problem space into domains of competence seen in expert human play. This partitioning helps us to manage and take advantage of the large amount of sophisticated domain knowledge ...