Advanced Information Retrieval

Advanced Information Retrieval Using XML Standards

The bulk of clinical data is available in an electronic form. About 80% of the electronic data, however, is narrative text and therefore limited with respect to machine interpretation. As a result, the discussion has shifted from "electronic versus paper based data" towards "structured versus unstructured electronic data". The XML technology of today paves a way towards more structured clinical...

Advanced Information Retrieval from Web Pages

A lightweight, web based with near to real-time speed algorithm is proposed in this work. It is able to retrieve main parts (menu, main text, header and footer) of a randomly selected web page entirely using CSS, JavaScript, frames, layers, images, etc. for retrieval. Moreover shortcomings of wellknown modern algorithms for content retrieval from web pages are discussed in this proposal. The al...

Public Transport Ontology for Passenger Information Retrieval

Passenger information aims at improving the user-friendliness of public transport systems while influencing passenger route choices to satisfy transit user’s travel requirements. The integration of transit information from multiple agencies is a major challenge in implementation of multi-modal passenger information systems. The problem of information sharing is further compounded by the multi-l...

An Advanced System for Information Retrieval via Key Concepts

Probabilistic datalog: Implementing logical information retrieval for advanced applications

In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Datalog (function-free Horn clause predicate logic) with probability theory. Therefore, probabilistic weights may be attached to both facts and rules. The underlying semantics extends the well-founded semantics of modular...