Adding Semantics to Social Software Engineering (by Steffen Lohmann & Thomas Riechert)


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These are the slides of Steffen Lohmann and Thomas Riechert presented at the SSE 2010 workshop at the SE 2010 in Paderborn.

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Adding Semantics to Social Software Engineering (by Steffen Lohmann & Thomas Riechert)

  1. 1. 3rd International Workshop on February 24, 2010 Social Software Engineering g g Paderborn, Germany , y Adding Semantics to Social Software Engineering: d (Re-)Using Ontologies in a Community-oriented Requirements Engineering Environment Steffen Lohmann Thomas Riechert DEI Laboratory Agile Knowledge Engineering and Semantic Web Computer Science Department Department of Computer Science Carlos III University of Madrid, Spain University of Leipzig, Germany Steffen Lohmann, Thomas Riechert
  2. 2. Contents 1. Social Software Engineering 2. Ontologies in Software Engineering 3. 3 Reusing basic ontologies from the Semantic Web 4. SWORE upper ontologie for community-oriented RE Steffen Lohmann, Thomas Riechert
  3. 3. Social Software Engineering ‘social aspects’ are key to successful SE ‘social aspe ts’ e ei e ene ed ‘so ial aspects’ receive renewed attention these days da s (Social Software, Social Web, …) Social Software Engineering (SSE) is about… 1. social interaction in software communities 2. sharing knowledge in online environments* * The online environment’s architecture can be centralized (e.g., community website) or decentralized (e.g., integrated in IDE). (e g IDE) Steffen Lohmann, Thomas Riechert
  4. 4. Social Software Engineering Social Software Engineering Social Software vs. Software Engineering Social Software: Software Engineering: • ad-hoc collaboration • structured processes • weakly structured contents vs. • well-defined artifacts f f • low formal semantics • high formal semantics Steffen Lohmann, Thomas Riechert
  5. 5. Ontologies in Software Engineering General solution approach: - applying ontologies* to SSE l i l i * Reusing ontologies to represent… - collaboratively created artifacts - involved participants - (self )organizing structures (self-)organizing …that emerge in online environments for SSE * An ontology is a “specification of a conceptualization” gy p p ( (Gruber 1993) ) Steffen Lohmann, Thomas Riechert
  6. 6. Ontologies in Software Engineering Popular examples: - O t l Ontology D fi iti Definition M t Metamodel (ODM) of OMG d l f - Ontology Driven Architecture (ODA) of W3C Applications of Ontologies in SE Happ & Seedor 2006 OED particularly relevant for SSE rf Promising: Semantic Wikis* pel * “Semantic Wikis try to combine the strengths of Semantic Web (machine processable, data integration, complex queries) and Wiki (easy to use and contribute, strongly interconnected, contribute interconnected collaborativeness) technologies” ( Steffen Lohmann, Thomas Riechert
  7. 7. Ontologies in Software Engineering Existing approaches: - define own ontologies - reuse software-related ontologies g - support ontology development many activities and artifacts are not SE-specific Reusing basic ontologies from the Semantic Web Steffen Lohmann, Thomas Riechert
  8. 8. Reusing basic ontologies from the Semantic Web Web environment for community-oriented Requirements Engineering Based on the Semantic Wiki OntoWiki and integrating several ontologies Steffen Lohmann, Thomas Riechert
  9. 9. Reusing basic ontologies from the Semantic Web DC (+TAGS) DC + SIOC + FOAF dc:title dc:description dc:subject tags:taggedWithTag dc:creator dc:contributor dc:source foaf:Agent sioc:User SKOS skos:Concept skos:broader skos:narrower skos:definition skos definition tags:Tag tags:name skos:definition TAGS (+SKOS) class <vocabulary>:<Class name> sioc:Item sioc:Post sioctypes:Poll sioctypes:Comment property <vocabulary>:<Property name> SIOC Steffen Lohmann, Thomas Riechert
  10. 10. Reusing basic ontologies from the Semantic Web Dublin Core (DC) for requirement metadata - DC defines general properties for information resources: title, description, creator, contributor, subject, and source… SKOS and TAGS for classification - SKOS for taxonomy: broader, narrower, definition… - TAGS for folksonomy: Tag as subclass of Concept FOAF and SIOC for stakeholders and discussions d f t k h ld d di i - FOAF for stakeholders: Person, Group, Organization… - SIOC for discussions: Post Poll Post, Poll… Steffen Lohmann, Thomas Riechert
  11. 11. Reusing basic ontologies from the Semantic Web Benefits of cross-domain ontology reuse: - interoperability – extended tool range ( p y g (non-CASE tools) ) - new opportunities to utilize, enhance, and analyze artifacts • refinement of classification structure • social network analysis i l t k l i • reasoning and consistency checking • … - shared understanding between participants - common practices on elaborated knowledge - no redundant modeling effort - fewer misconceptions not all aspects covered by available ontologies additional modeling required g q Steffen Lohmann, Thomas Riechert
  12. 12. req:Title req:Description req:details; req:isDetailedBy; req:dependsOn; reg:invalidates; req:isInvalidFor; dc:description dc:title req:isCommentedBy SWORE Upper Ontology req:entails; req:isSimilarTo; t il i Si il T req:Requirement dc:source req:isReferredBy req:refersTo req:Source dc:creator req:ReferencePoint dc:contributor dc:subject req:Stakeholder req:Document req:ApplicationState req:ApplicationPointer FOAF foaf:Agent foaf:Organization foaf:holdsAccount skos:Concept foaf:Person foaf:Group skos:broader tags:taggedWithTag skos:narrower sioc:about SKOS tags:Tag sioc:account_of sioc:account of sioc:Item TAGS sioc:has_modifier SIOC sioc:modifier_of sioc:Post sioc:User class: sioctypes#Poll <vacabulary>:<Class name> sioctypes#Comment property: subClassOf property: req:Vote <vocabulary>:<property name> subPropertyOf property: req:QualityRating req:PriorityRating Steffen Lohmann, Thomas Riechert
  13. 13. Conclusions & Future Work Conclusions: many domain-independent aspects of SE are already described y p p y by ontologies reusing these ontologies can be valuable (interoperability) in particular in SSE (Semantic Wiki) l Limitations: not all aspects represented (additional modeling) performance and scalability (Semantic Web technologies) Future Work: integration of further features and ontologies extension of SWORE upper ontology Steffen Lohmann, Thomas Riechert
  14. 14. Thank Th k you f your attention. for tt ti Steffen Lohmann, Thomas Riechert