1.

Record Nr.

UNINA9910815928603321

Autore

Pearse Margie

Titolo

Learning that never ends : qualities of a lifelong learner / / Margie Pearse and Mary Dunwoody

Pubbl/distr/stampa

Lanham : , : Rowman & Littlefield Publishers, Inc., , [2013]

©2013

ISBN

1-4758-0530-6

1-4758-0532-2

Descrizione fisica

1 online resource (261 p.)

Altri autori (Persone)

DunwoodyMary

Disciplina

374

Soggetti

Continuing education

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Contents; Foreword; Preface; Acknowledgments; Introduction; Ch01. Lifelong Learners Are Tenacious; Ch02. Lifelong Learners Are Reflective; Ch03. Lifelong Learners Are Metacognitive; Ch04. Lifelong Learners Are Divergent Thinkers; Ch05. Lifelong Learners Are Self-Efficacious; Ch06. Lifelong Learners See Learning As Valuable; Ch07. Lifelong Learners Are Collaborative; Conclusion; Appendix A. Resources for Chapter 2: "Lifelong Learners Are Reflective"; Appendix B. Resources for Chapter 3: "Lifelong Learners Are Metacognitive"

Appendix C. Resources for Chapter 4: "Lifelong Learners Are Divergent Thinkers"Appendix D. Resources for Chapter 6: "Lifelong Learners See Learning As Valuable"; Appendix E. Resources for Chapter 7: "Lifelong Learners Are Collaborative"; References; Index; About the Authors

Sommario/riassunto

Learning That Never Ends demystifies the concept of lifelong learning in a way that makes it easy and accessible for all. This work literally levels the playing field for any and all students to find success in life. Every idea, every tool provided comes from fifteen years of research and experimentation across socioeconomic levels and subject areas from elementary to college, in hundreds of classrooms. With the ideas from this book, you can empower all students with the qualities of a lifelong learner.



2.

Record Nr.

UNINA9910437764903321

Autore

Wang Xia

Titolo

Discovery and selection of semantic web services / / Xia Wang and Wolfgang A. Halang

Pubbl/distr/stampa

Berlin ; ; Heidelberg, : Springer, c2013

ISBN

9783642339387

3642339387

Edizione

[1st ed. 2013.]

Descrizione fisica

1 online resource (XIV, 154 p.)

Collana

Studies in computational intelligence, , 1860-949X ; ; 453

Altri autori (Persone)

HalangWolfgang A. <1951->

Disciplina

006.3

Soggetti

Semantic Web

Web services

Web search engines

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

SemanticWeb Services and Ontologies -- RelatedWork -- A Service Model Facilitating to Discover SemanticWeb Services -- Building Application Ontologies for SemanticWeb Services -- Ontology-based Service Selection.-QoS-based Selection of Semantic Services -- Evaluation.

Sommario/riassunto

For advanced web search engines to be able not only to search for semantically related information dispersed over different web pages, but also for semantic services providing certain functionalities, discovering semantic services is the key issue. Addressing four problems of current solution, this book presents the following contributions. A novel service model independent of semantic service description models is proposed, which clearly defines all elements necessary for service discovery and selection. It takes service selection as its gist and improves efficiency. Corresponding selection algorithms and their implementation as components of the extended Semantically Enabled Service-oriented Architecture in the Web Service Modeling Environment are detailed. Many applications of semantic web services, e.g. discovery, composition and mediation, can benefit from a general approach for building application ontologies. With application ontologies thus built, services are discovered in the same way as with



single domain ontologies, and the mediation problem between service ontologies is solved. Further, an ontology-based approach to improve service discovery is proposed and validated. Within the service model, a service selection approach oriented at quality criteria is proposed. It normalises diverse qualities of a service in their respective metrics and employs a service selection algorithm based on soundness.