Papers by Noredin Ziatabar
Foundations and Trends in Information Retrieval, Jan 1, 2008
An important part of our information-gathering behavior has always been to find out what other pe... more An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.
Web Semantics: Science, Services and Agents on the …, Jan 1, 2005
Hsinchun Chen for many years has lead the world in applying new information technologies to large... more Hsinchun Chen for many years has lead the world in applying new information technologies to large complex information management problems encountered in all large enterprises. This book provides a practical tutorial with compelling case studies on how to address the information avalanche we all face."
Knowledge-Based Systems, Jan 1, 2006
This publication shows how the gap between the HTML based internet and the RDF based vision of th... more This publication shows how the gap between the HTML based internet and the RDF based vision of the semantic web might be bridged, by linking words in texts to concepts of ontologies. Most current search engines use indexes that are built at the syntactical level and return hits based on simple string comparisons. However, the indexes do not contain synonyms, cannot differentiate between homonyms ('mouse' as a pointing vs. 'mouse' as an animal) and users receive different search results when they use different conjugation forms of the same word. In this publication, we present a system that uses ontologies and Natural Language Processing techniques to index texts, and thus supports word sense disambiguation and the retrieval of texts that contain equivalent words, by indexing them to concepts of ontologies.
The Semantic Web—ISWC 2002, Jan 1, 2002
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Papers by Noredin Ziatabar