Matches in ScholarlyData for { ?s ?p ?o. }
- 133 abstract "This research explores our novel method for Semantic Web service matchmaking based on iSPARQL queries, which enable the user to query the Semantic Web with techniques from traditional information retrieval. The strategies for matchmaking which we develop and evaluate in the paper make use of a plethora of similarity measures and combination functions from SimPack -- our library of similarity measures for the use in ontologies. We show how our combination of structured and imprecise querying can be used to perform hybrid Semantic Web service matchmaking in simple and amazingly fast fashion. We analyze our approach thoroughly on a large OWL-S service test collection, and show how our initial strategies can be improved by applying machine learning algorithms such as regression, decision trees, or support vector machines to result in the most effective strategies for matchmaking.".
- 133 hasAuthorList authorList.
- 133 hasTopic Machine_learning.
- 133 hasTopic SPARQL.
- 133 hasTopic Search_engine.
- 133 hasTopic Semantic_Web.
- 133 hasTopic Semantic_Web_Services.
- 133 isPartOf proceedings.
- 133 keyword "evaluation".
- 133 keyword "information retrieval".
- 133 keyword "machine learning".
- 133 keyword "matchmaking".
- 133 keyword "sparql".
- 133 title "The Creation and Evaluation of iSPARQL Strategies for Matchmaking".
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- item-1 type ListItem.
- item-1 hasContent christoph-kiefer.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent abraham-bernstein.
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- 14 creator boontawee-suntisrivaraporn.
- 14 type InProceedings.
- 14 label "Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies".
- 14 sameAs 14.
- 14 abstract "The description logic EL+ has recently proved practically useful in the life science domain with presence of several large-scale biomedical ontologies such as SNOMED CT. To deal with ontologies of this scale, standard reasoning of classification is essential but not sufficient. The ability to extract relevant fragments from a large ontology and to incrementally classify it has become more crucial to support ontology design, maintenance and re-use. In this paper, we propose a pragmatic approach to module extraction and incremental classification for EL+ ontologies and report on empirical evaluations of our algorithms which have been implemented as an extension of the CEL reasoner.".
- 14 hasAuthorList authorList.
- 14 hasTopic Ontology_%28computer_science%29.
- 14 hasTopic Semantic_Web.
- 14 hasTopic Web_Ontology_Language.
- 14 isPartOf proceedings.
- 14 keyword "description logic".
- 14 keyword "incremental classification".
- 14 keyword "module extraction".
- 14 keyword "ontology".
- 14 title "Module Extraction and Incremental Classification: A Pragmatic Approach for EL+ Ontologies".
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- item-1 type ListItem.
- item-1 hasContent boontawee-suntisrivaraporn.
- 141 creator henrik-lochmann.
- 141 creator matthias-braeuer.
- 141 type InProceedings.
- 141 label "An Ontology for Software Models and its Practical Implications for Semantic Web Reasoning".
- 141 sameAs 141.
- 141 abstract "Ontology-Driven Software Development (ODSD) advocates using ontologies for capturing knowledge about a software system at development time. So far, ODSD approaches have mainly focused on the unambiguous representation of domain models during the system analysis phase. However, the design and implementation phases can equally benefit from the logical foundations and reasoning facilities provided by the Ontology technological space. This applies in particular to model-driven approaches that employ models as first class entities throughout the entire software development process. We are currently developing a toolsuite called HybridMDSD that employs Semantic Web technologies to integrate different domain-specific modeling languages based on their ontological foundations. To this end, we have defined a new upper ontology for software models that complements existing work in conceptual and business modeling. This paper describes the structure and axiomatization of our ontology and its underlying conceptualization. Further, we report on the experiences gained with validating the integrity and consistency of software models using a Semantic Web reasoning architecture. We illustrate practical solutions to the problems arising from the open-world assumption in OWL and lack of nonmonotonic queries in SWRL.".
- 141 hasAuthorList authorList.
- 141 hasTopic Electronic_business.
- 141 hasTopic Semantic_Web.
- 141 isPartOf proceedings.
- 141 keyword "model-driven software development".
- 141 keyword "ontologies".
- 141 keyword "software engineering".
- 141 title "An Ontology for Software Models and its Practical Implications for Semantic Web Reasoning".
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- item-1 type ListItem.
- item-1 hasContent matthias-braeuer.
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- item-2 hasContent henrik-lochmann.
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- 146 creator katharina-siorpaes.
- 146 creator martin-hepp.
- 146 type InProceedings.
- 146 label "OntoGame: Weaving the Semantic Web by Online Gaming".
- 146 sameAs 146.
- 146 abstract "Most of the challenges faced when building the Semantic Web require a substantial amount of human labor and intelligence. Despite significant advancement in ontology learning and human language technology, building ontologies, annotating data, and establishing alignments between multiple ontologies remain tasks that highly depend on human intelligence, both as a source of domain expertise and for specifying the results. This means that individuals need to contribute time, and sometimes other resources. Now, we can observe a sharp contrast in user interest in two branches of Web activity: While the “Web 2.0�? movement lives from an unprecedented amount of contributions from Web users, we witness a substantial lack of user involvement in the aforementioned tasks . We assume that one cause of the latter is a lack of proper incentive structures, i.e., settings in which the perceived benefits outweigh the efforts for people to contribute. As a novel solution, we (1) propose to masquerade the core tasks of weaving the Semantic Web behind on-line, multi-player game scenarios, in order to create proper incentives for humans to get involved. Doing so, we adopt the findings from the already famous “games with a purpose�? by von Ahn, who has shown that presenting a useful task, which requires human intelligence, in the form of an on-line game can motivate a large amount of people to work heavily on this task, and this for free. Then, we (2) describe our OntoGame prototypes, (3) provide preliminary evidence that users are willing to invest a lot of time into those games, (4) show that the users’ input creates reliable results, and (5) discuss how, by doing so, they unknowingly weave the Semantic Web.".
- 146 hasAuthorList authorList.
- 146 hasTopic Collaborative_software.
- 146 hasTopic Ontology_%28computer_science%29.
- 146 hasTopic Semantic_Web.
- 146 hasTopic Web_2.0.
- 146 hasTopic Web_Ontology_Language.
- 146 isPartOf proceedings.
- 146 keyword "incentives".
- 146 keyword "online games".
- 146 keyword "ontology engineering".
- 146 keyword "semantic web".
- 146 title "OntoGame: Weaving the Semantic Web by Online Gaming".
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- item-1 hasContent katharina-siorpaes.
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- item-2 hasContent martin-hepp.
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