Turkish information retrieval: Past changes future
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
13 - 22
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/27267
One of the most exciting accomplishments of computer science in the lifetime of this generation is the World Wide Web. The Web is a global electronic publishing medium. Its size has been growing with an enormous speed for over a decade. Most of its content is objectionable, but it also contains a huge amount of valuable information. The Web adds a new dimension to the concept of information explosion and tries to solve the very same problem by information retrieval systems known as Web search engines. We briefly review the information explosion problem and information retrieval systems, convey the past and state of the art in Turkish information retrieval research, illustrate some recent developments, and propose some future actions in this research area in Turkey. © Springer-Verlag Berlin Heidelberg 2006.
Showing items related by title, author, creator and subject.
Soysal, E.; Cicekli I.; Baykal, N. (2010)This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules ...
An analysis of manipulated information and respective alternative costs in information systems and in decision making structures Güvenen O.; Öztürk, M.H. (International Institute of Informatics and Systemics, IIIS, 2006)Today Information Technologies create base for the most important decision support systems for the practices in academia, business and politics. The effectiveness and success of operations that are supported by information ...
Altingövde İ.S.; Özel, S.A.; Ulusoy Ö.; Özsoyoğlu G.; Özsoyoğlu, Z.M. (Springer Verlag, 2001)This paper deals with the problem of modeling web information resources using expert knowledge and personalized user information, and querying them in terms of topics and topic relationships. We propose a model for web ...