Charnyote Pluempitiwiriyawej

dblp:76/5344 · DBLP profile ↗
← Back
7ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 1 first-authorDatabases, data management, data science and information retrieval · 4 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 87% Information extraction and text analysis · 13%
Software engineering, system software, and programming languages
2 papers
Services computing and microservices · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%
Theoretical computer science
1 paper
Computational complexity · 50% Algorithmic game theory and mechanism design · 50%

Topics — the 5 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
lexical ontology
0.112010
Inference of lexical ontologies. The LeOnI methodology · Artif. Intell. 2010
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition
ontology learning
0.112010
Inference of lexical ontologies. The LeOnI methodology · Artif. Intell. 2010
Distributed systems
distributed coordination
0.012001
An Internet-based negotiation server for e-commerce · VLDB J. 2001
Services computing and microservices
automated negotiation
0.012000
The IDEAL Approach to Internet-Based Negotiation for E-Business · ICDE 2000
Computational complexity
constraint satisfaction
0.012000
The IDEAL Approach to Internet-Based Negotiation for E-Business · ICDE 2000

Methods — techniques the papers use, named apart from their topics

event-trigger-rule · 0.1constraint satisfaction · 0.1
YearPublicationVenuePosition
2010 Inference of lexical ontologies. The LeOnI methodology
Javier Farreres, Karina Gibert, Horacio Rodríguez, Charnyote Pluempitiwiriyawej
Artif. Intell.4
2010 Ontology-based multiperspective requirements traceability framework
Namfon Assawamekin, Thanwadee Sunetnanta, Charnyote Pluempitiwiriyawej
Knowl. Inf. Syst.3
2008 Automated Multiperspective Requirements Traceability Using Ontology Matching Technique
Namfon Assawamekin, Thanwadee Sunetnanta, Charnyote Pluempitiwiriyawej
SEKE3
2005 Construction of Thai WordNet Lexical Database from Machine Readable Dictionaries
abstract
We describe a method of constructing Thai WordNet, a lexical database in which Thai words are organized by their meanings. Our methodology takes WordNet and LEXiTRON machine-readable dictionaries into account. The semantic relations between English words in WordNet and the translation relations between English and Thai words in LEXiTRON are considered. Our methodology is operated via WordNet Builder system. This paper provides an overview of the WordNet Builder architecture and reports on some of our experience with the prototype implementation.
Patanakul Sathapornrungkij, Charnyote Pluempitiwiriyawej
MTSummit2
2004 Element matching across data-oriented XML sources using a multi-strategy clustering model
Charnyote Pluempitiwiriyawej, Joachim Hammer
Data Knowl. Eng.1
2001 An Internet-based negotiation server for e-commerce
Stanley Y. W. Su, Chunbo Huang, Joachim Hammer, Haifei Li 0002, Liu Wang 0003, Youzhong Liu, Charnyote Pluempitiwiriyawej, Minsoo Lee, Herman Lam
VLDB J.8
2000 The IDEAL Approach to Internet-Based Negotiation for E-Business
abstract
With the emergence of e-business as the next killer application for the Web, automating bargaining-type negotiations between clients (i.e., buyers and sellers) has become increasingly important. With IDEAL (Internet based Dealmaker for e-business), we have developed an architecture and framework, including a negotiation protocol, for automated negotiations among multiple IDEAL servers. The main components of IDEAL are a constraint satisfaction processor (CSP) to evaluate a proposal, an Event-Trigger-Rule (ETR) server for managing and triggering the execution of rules which make up the negotiation strategy (rules can be updated at run-time to deal with the dynamic nature of negotiations), and a cost-benefit analysis to help in the selection of alternative strategies. We have implemented a fully functional prototype system of IDEAL to demonstrate automated negotiations among buyers and suppliers participating in a supply chain.
Joachim Hammer, Chunbo Huang, Charnyote Pluempitiwiriyawej, Minsoo Lee, Haifei Li 0002, Liu Wang 0003, Youzhong Liu, Stanley Y. W. Su
ICDE4