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Penanda Bagikan

E Book

Intelligent Document Retrieval

Kruschwitz, Udo. - Nama Orang; SpringerLink (Online service) - Nama Orang;

Related Work -- Data Analysis and Domain Model Construction -- Incorporating Additional Knowledge -- A Dialogue System for Partially Structured Data -- UKSearch - Intelligent Web Search -- UKSearch - Evaluation and Discussion -- YPA - Searching Classified Directories -- Future Directions and Conclusions.Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from the Web in general. The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. So we construct it automatically.


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Informasi Detail
Judul Seri
-
No. Panggil
-
Penerbit
: .,
Deskripsi Fisik
XVI, 198 p.online resource.
Bahasa
English
ISBN/ISSN
9781402037689
Klasifikasi
004.0151
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
1st ed. 2005.
Subjek
COMPUTERS.
Application software.
Information Systems Applications (incl. Internet).
Computer system failures.
System Performance and Evaluation.
Information storage and retrieval.
Theory of Computation.
Computer science.
Natural language processing (Computer science).
Natural Language Processing (NLP).
Computer Science, general.
Info Detail Spesifik
-
Pernyataan Tanggungjawab
by Udo Kruschwitz.
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UPT Perpustakaan UNS
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UNSLA (UNS Library Automation) adalah sistem manajemen perpustakaan daring yang dikembangkan untuk mendukung layanan informasi, penelusuran koleksi, dan pengelolaan sumber daya pustaka di lingkungan Universitas Sebelas Maret. Menggunakan platform Senayan Library Management System (SLiMS), aplikasi ini memberikan kemudahan bagi pemustaka dan pustakawan dalam mengakses, mengelola, dan memanfaatkan koleksi perpustakaan secara cepat, akurat, dan terintegrasi.

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