XMLibrary Search: An XML Search Engine Oriented to Digital Libraries

2005 ◽  
pp. 81-91 ◽  
Author(s):  
Enrique Sánchez-Villamil ◽  
Carlos González Muñoz ◽  
Rafael C. Carrasco
Keyword(s):  
Search Engine ◽  
Digital Libraries ◽  
Xml Search Engine

scholarly journals Search Engine Technology and Digital Libraries

2004 ◽  
Vol 10 (9) ◽  
Author(s):  
Friedrich Summann ◽  
Norbert Lossau
Keyword(s):  
Search Engine ◽  
Digital Libraries

scholarly journals CiteSeerX: AI in a Digital Library Search Engine

AI Magazine ◽  
2015 ◽  
Vol 36 (3) ◽  
pp. 35-48 ◽  
Author(s):  
Jian Wu ◽  
Kyle Mark Williams ◽  
Hung-Hsuan Chen ◽  
Madian Khabsa ◽  
Cornelia Caragea ◽  
...  
Keyword(s):  
Search Engine ◽  
Digital Library ◽  
Digital Libraries ◽  
Library Search ◽  
Design Concepts ◽  
Metadata Extraction ◽  
Group Members ◽  
Maintenance Requirements ◽  
Search Modes ◽  
Algorithm Search

CiteSeerX is a digital library search engine providing access to more than five million scholarly documents with nearly a million users and millions of hits per day. We present key AI technologies used in the following components: document classification and de-duplication, document and citation clustering, automatic metadata extraction and indexing, and author disambiguation. These AI technologies have been developed by CiteSeerX group members over the past 5–6 years. We show the usage status, payoff, development challenges, main design concepts, and deployment and maintenance requirements. We also present AI technologies implemented in table and algorithm search, which are special search modes in CiteSeerX. While it is challenging to rebuild a system like CiteSeerX from scratch, many of these AI technologies are transferable to other digital libraries and/or search engines.

HETEROGENEOUS DIGITAL LIBRARY QUERY PLATFORM USING A TRULY DISTRIBUTED MULTI-AGENT SEARCH

2000 ◽  
Vol 09 (03) ◽  
pp. 229-254
Author(s):  
A. N. ZINCIR-HEYWOOD ◽  
M. I. HEYWOOD ◽  
C. R. CHARTWIN ◽  
T. TUNALI
Keyword(s):  
Search Engine ◽  
Digital Library ◽  
Service Time ◽  
Digital Libraries ◽  
Simulation Studies ◽  
Tree Representation ◽  
Multi Agent ◽  
Information Providers

A platform for performing multi-agent searches in heterogeneous digital libraries is proposed. This differs significantly from previous approaches by completely removing the concept of a centralized search engine. Specifically, the organization of information held on domain index servers is constrained to conform to a virtual tree representation based on facets and global keyword concept schema particular to the set of information providers associated with the domain of interest (e.g. preparatory intranet). Simulation studies are used to compare this platform against a digital library platform presently in use, which employs the traditional central server scheme. Improvements in terms of query service time and robustness are demonstrated.

scholarly journals Leopoldina online - in site digital content aggregating service

2021 ◽  
pp. 34-37
Author(s):  
Piotr Malak
Keyword(s):  
Search Engine ◽  
Digital Libraries ◽  
Universal Access ◽  
Short Description ◽  
Digital Transformation ◽  
Digital Content ◽  
Easy Access ◽  
Digital Resources ◽  
Engine Design ◽  
Valuable Content

Increasing amount of digitised content is a very promising fact. It promises a wide and easy access to digitised pictures of valuable content and artefacts. But reality shows us it may be contrary – we encounter problems searching digitised content. Metadata aggregating services solve the problem. Splendid example of such is Europeana providing universal access to European digital cultural heritage resources. Locally we may know digital libraries metadata aggregators, such as Polish FBC (Federation of Digital Libraries). Very functional they have limitation, though. They provide access to limited, in terms of formats, sources. Organisations aiming towards digital transformation face a new challenge – combining variety of available digital content formats. An attempt to address problem of access to different digital resources in a Leopoldina online platform. Developed by University of Wroclaw (UWr), in cooperation with PSNC – Polish national meta data aggregator for Europeana, it aims to aggregate and deliver digital resources of various UWr units. In current paper we present goals of the project, short description of different digital resources available, metadata handling and common, universal search engine design.

SEEC

2010 ◽  
pp. 57-81
Author(s):  
Kamal Taha ◽  
Ramez Elmasri
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Marked Improvement ◽  
World Wide ◽  
Query Language ◽  
Search Techniques ◽  
The World ◽  
Xml Search Engine

With the emergence of the World Wide Web, business’ databases are increasingly being queried directly by customers. The customers may not be aware of the exact structure of the underlying data, and might have never learned a query language that enables them to issue structured queries. Some of the employees who query the databases may also not be aware of the structure of the data, but they are likely to be aware of some labels of elements containing the data. There is a need for a dual search engine that accommodates both business employees and customers. We propose in this chapter an XML search engine called SEEC, which accepts Keyword-Based queries (which can be used for answering customers’ queries) and Loosely Structured queries (which can be used for answering employees’ queries). We proposed previously a stand-alone Loosely Structured search engine called OOXSearch (Taha & Elmasri, 2007). SEEC integrates OOXSearch with a Keyword-Based search engine and uses novel search techniques. It is built on top of an XQuery search engine (Katz, 2005). SEEC was evaluated experimentally and compared with three recently proposed systems: XSEarch (Cohen & Mamou & Sagiv, 2003), Schema Free XQuery (Li & Yu & Jagadish, 2004), and XKSearch (Xu & Papakonstantinou, 2005). The results showed marked improvement.

Social Information Seeking in Digital Libraries

2011 ◽  
pp. 209-229
Author(s):  
George Buchanan ◽  
Annika Hinze
Keyword(s):  
Search Engine ◽  
Digital Libraries ◽  
Information Seeking ◽  
Classification Scheme ◽  
Retrieval System ◽  
Social Information ◽  
Social Contexts ◽  
Complex Task

Information seeking is a complex task, and many models of the basic, individual seeking process have been proposed. Similarly, many tools now exist to support “sit-forward” information seeking by single users, where the solitary seeker interacts intensively with a search engine or classification scheme. However, in many situations, there is a clear interaction between social contexts beyond the immediate interaction between the user and the retrieval system.

Sign in / Sign up

Export Citation Format

Share Document