Semantic search on the Web

被引：18

作者：

Fazzinga, Bettina ^{[1
]}

Lukasiewicz, Thomas ^{[2
]}

机构：

[1] Univ Calabria, Dipartimento Elettron Informat & Sistemist, I-87030 Commenda Di Rende, Italy

[2] Univ Oxford, Comp Lab, Oxford OX1 2JD, England

来源：

SEMANTIC WEB | 2010年 / 1卷 / 1-2期

基金：

欧洲研究理事会;

关键词：

Semantic search on the Web; Semantic Web search; Web search; Semantic Web; ontologies; NATURAL-LANGUAGE INTERFACES; KEYWORDS;

D O I：

10.3233/SW-2010-0023

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Web search is a key technology of the Web, since it is the primary way to access content on the Web. Current standard Web search is essentially based on a combination of textual keyword search with an importance ranking of the documents depending on the link structure of the Web. For this reason, it has many limitations, and there are a plethora of research activities towards more intelligent forms of search on the Web, called semantic search on the Web, or also Semantic Web search. In this paper, we give a brief overview of existing such approaches, including own ones, and sketch some possible future directions of research.

引用

页码：89 / 96

页数：8

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