InfoSearch: A Social Search Engine

2014 ◽  
pp. 193-223
Author(s):  
Prantik Bhattacharyya ◽  
Shyhtsun Felix Wu
Keyword(s):  
Search Engine ◽  
Social Search

DemonD

2010 ◽  
pp. 652-668
Author(s):  
Charles Delalonde ◽  
Eddie Soulier
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Community Participation ◽  
Search Engine ◽  
Management Practices ◽  
Actor Network Theory ◽  
Social Search ◽  
Retrieval Systems ◽  
Knowledge Management Practices ◽  
Collaborative Information Retrieval

This research leverages information retrieval activity in order to build a network of organizational expertise in a distributed R&D laboratory. The authors describe traditional knowledge management practices and review post-cognitivists theories in order to define social creation in collaborative information retrieval activity. The Actor-Network theory accurately describes association processes and includes both human and non-human entities. This chapter compares this theory with the emergence of Social Search services online and Experts’ Retrieval Systems. The chapter authors suggest afterward, a social search engine named DemonD that identifies documents but more specifically users relevant to a query. DemonD relies on transparent profile construction based upon user activity, community participation, and shared documents. Individuals are invited to participate in a dedicated newsgroup and the information exchanged is capitalized. The evaluation of our service both ergonomic and through a simulation provides encouraging data.

A Semantic++ Social Search Engine Framework in the Cloud

2012 ◽  
Author(s):  
Guigang Zhang ◽  
Chao Li ◽  
Chunxiao Xing ◽  
Guigang Zhang
Keyword(s):  
Search Engine ◽  
Social Search

DemonD

2010 ◽  
pp. 165-183
Author(s):  
Charles Delalonde ◽  
Eddie Soulier
Keyword(s):  
Knowledge Management ◽  
Information Retrieval ◽  
Community Participation ◽  
Search Engine ◽  
Management Practices ◽  
Actor Network Theory ◽  
Social Search ◽  
Retrieval Systems ◽  
Knowledge Management Practices ◽  
Collaborative Information Retrieval

This research leverages information retrieval activity in order to build a network of organizational expertise in a distributed R&D laboratory. The authors describe traditional knowledge management practices and review post-cognitivists theories in order to define social creation in collaborative information retrieval activity. The Actor-Network theory accurately describes association processes and includes both human and non-human entities. This chapter compares this theory with the emergence of Social Search services online and Experts’ Retrieval Systems. The chapter authors suggest afterward, a social search engine named DemonD that identifies documents but more specifically users relevant to a query. DemonD relies on transparent profile construction based upon user activity, community participation, and shared documents. Individuals are invited to participate in a dedicated newsgroup and the information exchanged is capitalized. The evaluation of our service both ergonomic and through a simulation provides encouraging data.

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

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