Search for dissertations about: "Information Retrieval"

Showing result 1 - 5 of 176 swedish dissertations containing the words Information Retrieval.

  1. 1. Textual information retrieval : An approach based on language modeling and neural networks

    Author : Apostolos A. Georgakis; Haibo Li; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; computer and systems science; Language modeling; Informatik; data- och systemvetenskap; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

    Abstract : This thesis covers topics relevant to information organization and retrieval. The main objective of the work is to provide algorithms that can elevate the recall-precision performance of retrieval tasks in a wide range of applications ranging from document organization and retrieval to web-document pre-fetching and finally clustering of documents based on novel encoding techniques. READ MORE

  2. 2. Modern GIR Systems : Framework, Retrieval Model and Indexing Techniques

    Author : Xing Lin; Yifang Ban; Harrie Lars; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information Retrieval; GIR; Framework; Indexing; Retrieval Model; Other information technology; Övrig informationsteknik;

    Abstract : Geographic information is one of the most important and the most common types of information in human society. It is estimated that more than 70% of all information in the world has some kind of geographic features. READ MORE

  3. 3. Subject retrieval in web-based library catalogs

    Author : Koraljka Golub; Jadranka Lasić-Lazić; Department of Information Science Filozofski fakultet u Zagrebu; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; British university libraries; Croatian university libraries; Indexing and retrieval systems; Online library catalogs; Subject access points; Subject retrieval; User interface; User search behavior; WebPACs; Library and Information Science; Biblioteks- och informationsvetenskap;

    Abstract : This thesis has been motivated by past research, problems and realizations that online library catalog users frequently perform subject searches – using keywords, subject headings and descriptors – and these searches have yielded unsatisfactory results. Web-based catalogs or WebPACs (Web-based Online Public Access Catalogs), belonging to the so-called third generation of online catalogs and providing a wide variety of search options, remain largely underutilized despite the continuous advancement of information retrieval systems. READ MORE

  4. 4. Resource Lenient Approaches to Cross Language Information Retrieval : Using Amharic

    Author : Atelach Alemu Argaw; Lars Asker; Jussi Karlgren; Douglas Oard; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Cross language information retrieval; Amharic; stemming; MRD based query translation; transliteration; named entity detection; translation term selection; sense discrimination; POS tagging; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Information Retrieval (IR) deals with finding and presenting information from a collection of documents/data that are relevant to an information need (a query) expressed by a user. Cross Language Information Retrieval (CLIR) is a subfield of IR where queries are posed in a different language than that of the document collection. READ MORE

  5. 5. Efficient Image Retrieval with Statistical Color Descriptors

    Author : Linh Viet Tran; Reiner Lenz; Björn Kruse; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; color properties; images; statistical; content-based image retrieval CBIR ; non-parametric density estimators; image database; Kernel; Gram-Schmidt; geometry-based; Information technology; Informationsteknologi;

    Abstract : Color has been widely used in content-based image retrieval (CBIR) applications. In such applications the color properties of an image are usually characterized by the probability distribution of the colors in the image. READ MORE