Information Extraction for Inclusive Recommender Systems

Within computer science, many approaches to supporting choice and decision making have been developed (see, e.g., [1,2] for recent syntheses), but one strategy has been

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In this work we focus on data ex- traction and data visualization for information retrieval sys- tems, i.e., how to extract data from the sources of inter- est in a convenient way,

There exist many extraction tools that can process web pages and produce structured machine under- standable data (or information) that corresponds with the content of a web page..

Current information extraction systems can do a good job of discov- ering entities, relations and events in natural language text.. The traditional out- put of such systems is XML,

Making the data provider or pro- fessional catalogers responsible for the creation and maintenance of the metadata is the common approach and its drawbacks are discussed afterwards..

The system includes agents for intrusion detection and state forecasting, takes into account the dynamics and stochastic uncertainty of the main information

The purpose of this article is to show how geographic information systems (GIS) can be used in the development of reforms in the sphere of public finance.. GIS can become a