Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2006
Genre:	EDV / Informatik
	Application software / C / Computer and Information Systems Applications / computer science / Data structures (Computer science) / Data Structures and Information Theory / Data Warehousing / Database Management / database programming / Databases / Information Retrieval / Information Storage and Retrieval / Information Systems Applications (incl. Internet) / Information theory / Internet searching
ISBN:	9783540349624
EAN-Code:	9783540349624
Verlag:	Springer Nature EN
Einband:	Kartoniert
Sprache:	English
Serie:	Information Systems and Applications, incl. Internet/Web, and HCI #3977 - Lecture Notes in Computer Science
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	1750 gr
Seiten:	556
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

Content-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements ¿ instead of complete documents ¿ in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users¿ e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents. Implementing this, more focused, retrieval paradigm means that an XML IR system needs not only to ?nd relevant information in the XML documents, but it also has to determine the appropriate level of granularity to be returned to the user. In addition, the relevance of a retrieved component may be dependent on meeting both content and structural query conditions.