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Enabling Collaboration on Semiformal Mathematical Knowledge by Semantic Web Integration.

Mathematics is becoming increasingly collaborative, but software does not sufficiently support that: Social Web applications do not currently make mathematical knowledge accessible to automated agents that have a deeper understanding of mathematical structures. Such agents exist but focus on individ...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lange, C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: IOS Press, 2011.
©2011
Colección:Studies on the Semantic Web ; v. 11.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Enabling Collaboration on Semiformal Mathematical Knowledge by Semantic Web Integration. 
260 |b IOS Press,  |c 2011. 
264 4 |c ©2011 
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490 1 |a Studies on the Semantic Web,  |x 1868-1158 ;  |v Volume 011 
588 0 |a Print version record. 
504 |a Includes bibliographical references. 
505 0 |a Title Page; Contents; Abstract; Acknowledgments; Part I. Introduction; Chapter 1. Web Collaboration on Mathematical Knowledge; Current Practices of Doing Mathematics -- Enabling Management, Understanding, and Application of Mathematical Knowledge; Web 2.0 and Semantic Web in Science; Mathematics on the Web -- State of the Art and Challenges; Collaborative Mathematics on the Web -- Why Retry Now?; Challenges to be Addressed by a New MKM Infrastructure; Structure and Contribution of this Thesis; Part II. Knowledge Representation; Chapter 2. Representing Mathematical Knowledge 
505 8 |a Structures of Mathematical KnowledgeRequirements for Reusably Representing and Exchanging Mathematical Knowledge; Knowledge Representation on the [Semantic] Web (State of the Art); Representing Semiformal Mathematical Knowledge (State of the Art); Designing an Improved Representation and Exchange Language; Chapter 3. Ontologies for Structures of Mathematical Knowledge; Overview of the Ontologies by Structural Dimension; Logical and Functional Structures, and Notation; Rhetorical and Document Structures; Metadata; The Application Environment; Discussions about Knowledge Items 
505 8 |a Requirements for Extracting Structures from Semantic Markup to RDFRelated Work; Conclusion and Future Work; Chapter 4. Using Mathematical Markup for Implementing and Documenting Expressive Ontologies; Problem and Requirements Statement; State of the Art; Implementing and Documenting Heterogeneous Ontologies in OMDoc; Implementation of the OMDoc Ontology; Case Study: Reimplementing FOAF in OMDoc; Related Work; Conclusion and Future Work; Chapter 5. Multi-Dimensional Metadata Markup; The Metadata Syntax of OMDoc 1.2 (State of the Art); The new OMDoc+RDFa Metadata Framework; Related Work 
505 8 |a ConclusionPart III. Services and their Integration; Chapter 6. Primitive Services for Managing Mathematical Knowledge; Tasks, Scenarios, and Required Primitive Services; Editing; Validating; Human- and Machine-Comprehensible Publishing; Information Retrieval; Arguing about Problems and their Solutions; Conclusion; Chapter 7. Integrating Assistive Services into Interactive Documents; State of the Art and Related Work; Requirements for Integrating Services into Documents; The JOBAD Architecture; In-Document Client Services; Symbol-based Client Services; Expression-based Client Services 
505 8 |a Conclusion and Future WorkChapter 8. Transparent Translations in Knowledge Bases; Extracting Structures from Semantic Markup; Migration to More Expressive Languages; Coping with Different Representation Granularities on Import and Export; Recommendations for Running Translations Transparently; Conclusion; Chapter 9. The Semantic Wiki SWiM -- An Integrated Collaboration Environment; Wikis and Semantic Wikis (State of the Art); Requirements Analysis and Design Decisions; Architecture; How SWiM Supports OpenMath CD Maintenance Workflows; Related Work; Conclusion and Future Work 
520 |a Mathematics is becoming increasingly collaborative, but software does not sufficiently support that: Social Web applications do not currently make mathematical knowledge accessible to automated agents that have a deeper understanding of mathematical structures. Such agents exist but focus on individual research tasks, such as authoring, publishing, peer-review, or verification, instead of complex collaboration workflows. This work effectively enables their integration by bridging the document-oriented perspective of mathematical authoring and publishing, and the network perspective of threaded. 
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650 0 |a Knowledge representation (Information theory) 
650 0 |a Semantic Web. 
650 0 |a Mathematics. 
650 0 |a OMDoc (Document markup language) 
650 2 |a Mathematics 
650 6 |a Représentation des connaissances. 
650 6 |a Web sémantique. 
650 6 |a Mathématiques. 
650 7 |a Knowledge representation (Information theory)  |2 fast 
650 7 |a Mathematics  |2 fast 
650 7 |a OMDoc (Document markup language)  |2 fast 
650 7 |a Semantic Web  |2 fast 
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