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Enterprise Information Systems 10th International Conference, ICEIS 2008, Barcelona, Spain, June 12-16, 2008, Revised Selected Papers

:	Will Aalst, John Mylopoulos, Norman M. Sadeh, Michael J. Shaw, Clemens Szyperski, Joaquim Filipe, Jo
:	Enterprise Information Systems 10th International Conference, ICEIS 2008, Barcelona, Spain, June 12-16, 2008, Revised Selected Papers
:	Springer-Verlag
:	9783642006708
:	1
:	CHF 47.80
:

:	Sonstiges
:	English

:	366
:	DRM
:	PC/MAC/eReader/Tablet
:	PDF

This books contains the best papers of the 10th International Conference on Enterprise Information Systems, ICEIS 2008, held in Barcelona, Spain, in June 2008. Two invited papers are presented together with 24 papers which were carefully reviewed and selected from 62 full papers accepted for presentation at the conference itself (out of 665 submissions). The topics covered are: databases and information systems integration, artificial intelligence and decision support systems, information systems analysis and specification, software agents and internet computing, and human-computer interaction.

	Title Page	2
	Preface	5
	Organization	6
	Table of Contents	13
	Invited Papers	16
	The Link between Paper and Information Systems	17
	Introduction	17
	Digital Pen and Paper	18
	Interactive Paper	20
	Accessing Information	22
	Capturing Information	25
	Conclusions	27
	References	27
	Service Engineering for the Internet of Services	29
	Introduction	29
	Marketplaces for the Internet of Services	30
	What Are Services?	30
	Discovery, Invocation and/or Execution of Services	32
	Atomic vs. Composite Services	33
	Requirements for the IoS and Marketplaces	34
	Service Engineering	36
	Definition	36
	The ISE Methodology	37
	Service Model Integration	38
	Conclusions	40
	References	40
	Part I Databases and Information Systems Integration	42
	Bringing the XML and Semantic Web Worlds Closer: Transforming XML into RDF and Embedding XPath into SPARQL	43
	Introduction	43
	Further Related Work	44
	Comparison of XML/RDF and XPath/SPARQL	45
	XPath and XQuery Data Model and XPath Query Language	45
	RDF Data Model and SPARQL	46
	Translation of XPath Subqueries into SPARQL Queries	48
	Translation of Data	48
	Translation of Queries	49
	Translation of Result	50
	Performance Analysis	52
	Conclusions	53
	References	53
	Appendix	55
	A Framework for Semi-automatic Data Integration	58
	Introduction	58
	Data Integration	60
	Matching	60
	Identifier Constraints and Attribute Relations	62
	Mapping	66
	FCA-Based Mapping Generation	66
	Conclusions	71
	References	72
	Experiences with Industrial Ontology Engineering	73
	Introduction	73
	The Subsea Petroleum Industry	74
	Semantic Web and Interoperability	77
	Developing Oil and Gas Ontologies	78
	Industrial Adoption of Semantic Standards	81
	Conclusions	82
	References	83
	A Semiotic Approach to Quality in Specifications of Software Measures	85
	Introduction	85
	A Semiotic Quality Framework	86
	Specification of the Framework	86
	Discussion	92
	An Evaluation of Database Design Measures	94
	Conclusions	96
	References	97
	Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms	99
	Introduction	99
	Related Work	101
	Datasets and Performance Metrics	102
	Datasets Description	102
	Performance Metrics	103
	Experimental Approach	104
	A Basic ANN-Model Approach	104
	A Hybrid Model Approach	107
	Conclusions	110
	References	112
	Part II Artificial Intelligence and Decision Support Systems	113
	How to Semantically Enhance a Data Mining Process?	114
	Introduction	114
	Related Works	115
	Knowledge Integration in Data Mining	115
	Ontology Driven Information System (ODIS)	116
	Ontology-Based Validation Methods	116
	KEOPS Methodology	117
	Business Understanding	118
	Data Understanding	118
	Data Preparation	120
	Evaluation	121
	Experiments	122
	Discussion	124
	Conclusions	125
	References	126
	Next-Generation Misuse and Anomaly Prevention System	128
	Introduction	128
	Architecture and Approach	130
	ESIDE-Depian Knowledge Model Generation Process	131
	Connection Tracking and Payload Analysis Bayesian Experts Knowledge Model Generation	132
	Naive Bayesian Network of the Expert Modules	133
	The Structural Learning Challenge	134
	PC-Algorithm Application	134
	Partial Bayesian Structures Unifying Process	136
	Evaluation	136
	Conclusions and Future Lines	138
	References	139
	Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes	141
	Introduction	141
	Formal Framework	143
	A Method for the Discovery of Multi-perspective Process Models	144
	ProcessMining Technique	144
	Log Restructuring