Defining a formal domain ontology is generally considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are largely unfamiliar with these.

Ga evic and his co-authors try to fill this gap by covering the subject of MDA application for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG s new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. The book is supported by a website showing many ontologies, UML and other MDA-based models, and the transformations between them.

"The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research. The writing is technical yet clear and accessible, illustrated throughout with useful and easily digestible examples." from the Foreword by Bran Selic, IBM Rational Software, Canada.

"I do not know another book that offers such a high quality insight into UML and ontologies." Steffen Staab, U Koblenz, Germany"

With the shift towards the knowledge society, the change of working conditions, and the high-speed evolution of information and communication technologies, peoples' knowledge and skills need continuous updating. Learning based on collaborative working, creativity, multidisciplinarity, adaptiveness, intercultural communication, and problem solving has taken on an important role in everyday life.""Technology Enhanced Learning: Best Practices"" goes beyond traditional discussion on technology enhanced learning to provide research and insights on increasing the efficiency of learning for individuals and groups, facilitating the transfer and sharing of knowledge in organizations, and understanding of the learning process by exploring links among human learning, cognition, and technologies. This Premier Reference Source offers estimable, comprehensive research to researchers and practitioners in the field of technology enhanced learning in various disciplines, including education, sociology, information technology, workplace learning, entertainment, healthcare, tourism, and many others.

This book constitutes the thoroughly refereed proceedings of the Second International Symposium on Data-Driven Process Discovery and Analysis held in Campione d'Italia, Italy, in June 2012. The six revised full papers were carefully selected from 17 submissions. To improve the quality of the contributions the symposium fostered the discussion during the presentation, giving authors the opportunity to improve their work extending the presented results. The selected papers cover topics spanning from theoretical issues related to process representation, discovery and analysis to practical and operational experiences in process discovery and analysis.

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.

We are pleased to present the proceedings of the Second International Conf- ence on Software LanguageEngineering (SLE 2009). The conference was held in Denver, Colorado (USA) during October 5-6, 2009 and was co-located with the th 12 IEEE/ACM International Conference on Model-Driven Engineering L- th guages and Systems (MODELS 2009) and the 8 ACM International Conf- ence on Generative Programming and Component Engineering (GPCE 2009). TheSLEconferenceseriesisdevotedtoawiderangeoftopicsrelatedtoarti?cial languages in software engineering. SLE is an international research forum that brings together researchers and practitioners from both industry and academia to expand the frontiers of software language engineering. SLE'sforemostmissionis to encourageand organizecommunicationbetween communities that have traditionally looked at software languagesfrom di?erent, more specialized, and yet complementary perspectives. SLE emphasizes the f- damental notion of languages, as opposed to any realization in speci?c technical spaces. In this context, the term "software language" comprises all sorts of - ti?cial languages used in software development, including general-purpose p- gramming languages, domain-speci?c languages, modeling and meta-modeling languages, data models, and ontologies. Software language engineering is the application of a systematic, disciplined, quanti?able approach to the devel- ment, use, andmaintenanceoftheselanguages. TheSLEconferenceisconcerned with all phases of the lifecycle of software languages; these include the design, implementation, documentation, testing, deployment, evolution, recovery, and retirement of languages. Of special interest are tools, techniques, methods, and formalisms that support these activities. In particular, tools are often based on, or automatically generated from, a formal description of the language.

We are pleased to present the proceedings of the First International Conf- ence on Software LanguageEngineering (SLE 2008). The conference was held in th Toulouse, FranceduringSeptember29-30,2008andwasco-locatedwiththe11 IEEE/ACM International Conference on Model-Driven Engineering Languages and Systems (MODELS 2008). The SLE conference series is devoted to a wide range of topics related to arti?cial languages in software engineering. SLE is an international research forum that brings together researchers and practitioners from both industry and academia to expand the frontiers of software language engineering. Historically, SLE emerged from two established workshop series: LDTA, Language Descriptions, Tools, and Applications, which has been a sat- lite event at ETAPS for the last 9 years, and ATEM which has been co-located with MODELS and WCRE for 5 years. SLE'sforemostmissionis to encourageand organizecommunicationbetween communities that have traditionally looked at software languagesfrom di?erent, more specialized, and yet complementary perspectives. SLE emphasizes the f- damental notion of languages as opposed to any realization in speci?c technical spaces. In this context, the term "software language" comprises all sorts of - ti?cial languages used in software development including general-purpose p- gramming languages, domain-speci?c languages, modeling and meta-modeling languages, data models, and ontologies. Software language engineering is the application of a systematic, disciplined, quanti?able approach to the devel- ment, use, andmaintenanceoftheselanguages. TheSLEconferenceisconcerned with all phases of the lifecycle of software languages; these include the design, implementation, documentation, testing, deployment, evolution, recovery, and retirement of languages.

According to the W3C Semantic Web Activity [1]: The Semantic Web provides a common framework that allows data to be shared and reused across appli- tion, enterprise, and community boundaries. This statement clearly explains that the Semantic Web is about data sharing. Currently, the Web uses hyperlinks to connect Web pages. The Semantic Web goes beyond that and focuses on data and envisions the creation of the web of data. On the Semantic Web, anyone can say anything about any resource on the Web. This is fully based on the concept of semantic - notations, where each resource on the Web can have an assigned meaning. This is done through the use of ontologies as a formal and explicit representation of domain concepts and their relationships [2]. Ontologies are formally based on description logics. This enables agents and applications to reason over the data when searching the Web, which has not previously been possible. Web 2. 0 has gradually evolved from letting the Web users play a more active role. Unlike the initial version of the Web, where the users mainly "consumed" content, users are now offered easy-to-use services for content production and publication. Mashups, blogs, wikis, feeds, interface remixes, and social networking/tagging s- tems are examples of these well-known services. The success and wide adoption of Web 2. 0 was in its reliance on social interactions as an inevitable characteristic of the use and life of the Web. In particular, Web 2.