Data Brokers: Building collections through automated negotiation
Authors: Makedon, Filia 
Ye, Song 
Zhang, Sheng 
Ford, James C. 
Shen, Li 
Kapidakis, Sarantos 
Publisher: Springer
Issue Date: 1-Jan-2004
Conference: Hellenic Conference on Artificial Intelligence 
Book: Methods and Applications of Artificial Intelligence 
Series: Lecture Notes in Computer Science
Volume: 3025
Keywords: Digital Library, Negotiation Process, Negotiation System, Negotiation Strategy, Negotiation Activity
Abstract: 
Collecting digital materials is time-consuming and can gain from automation. Since each source - and even each acquisition - may involve a separate negotiation of terms, a collector may prefer to use a broker to represent his interests with owners. This paper describes the Data Broker Framework (DBF), which is designed to automate the process of digital object acquisition. For each acquisition, a negotiation agent is assigned to negotiate on the collector's behalf, choosing from strategies in a strategy pool to automatically handle most bargaining cases and decide what to accept and what counteroffers to propose. We introduce NOODLE (Negotiation OntOlogy Description LanguagE) to formally specify terms in the negotiation domain.
ISBN: 978-3-540-24674-9
ISSN: 03029743
DOI: 10.1007/978-3-540-24674-9_3
URI: https://uniwacris.uniwa.gr/handle/3000/591
Type: Conference Paper
Department: Department of Archival, Library and Information Studies 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

CORE Recommender
Show full item record

SCOPUSTM   
Citations 20

3
checked on Nov 3, 2024

Page view(s)

34
checked on Nov 5, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.