Matches in ScholarlyData for { ?s ?p ?o. }
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- item-1 hasContent andres-garcia-silva.
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- item-2 hasContent jeon-hyung-kang.
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- item-3 hasContent kristina-lerman.
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- item-4 hasContent oscar-corcho.
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- 157 creator axel-cyrille-ngonga-ngomo.
- 157 creator klaus-lyko.
- 157 type InProceedings.
- 157 label "EAGLE: Efficient Active Learning of Link Specifications using Genetic Programming".
- 157 sameAs 157.
- 157 abstract "With the growth of the Linked Data Web, time-efficient approaches for computing links between data sources have become indispensable. Most Link Discovery frameworks implement approaches that require two main computational steps. First, a link specification has to be explicated by the user. Then, this specification must be executed. While several approaches for the time-efficient execution of link specifications have been developed over the last few years, the discovery of accurate link specifications remains a tedious problem. In this paper, we present EAGLE, an active learning approach based on genetic programming. EAGLE generates highly accurate link specifications while reducing the annotation burden for the user. We present EAGLE and the framework within which it is implemented. We evaluate EAGLE against batch learning on three different data sets and show that it can detect specifications with an F-measure superior to 90% while requiring a small number of questions.".
- 157 hasAuthorList authorList.
- 157 isPartOf proceedings.
- 157 keyword "Active Learning".
- 157 keyword "Genetic Programming".
- 157 keyword "Link Discovery".
- 157 title "EAGLE: Efficient Active Learning of Link Specifications using Genetic Programming".
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- item-1 hasContent axel-cyrille-ngonga-ngomo.
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- item-2 hasContent klaus-lyko.
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- 158 creator dimitris-karampinas.
- 158 creator peter-triantafillou.
- 158 type InProceedings.
- 158 label "Crowdsourcing Taxonomies".
- 158 sameAs 158.
- 158 abstract "Taxonomies are a useful mechanism to organize, evaluate, and search web content. As such, many popular classes of web applications, from product categorization, similar-product comparative pricing, localized services, to vertical or enterprise search, utilize them. However, their manual generation and maintenance by experts is a time-costly and cumbersome procedure, often resulting in platform-dependent and static vocabularies. Hence lots of research has been focusing currently on more flexible and dynamic methods to develop them, as evidenced for example by the huge interest of folksonomies within the social media realm. We propose a new approach for constructing taxonomies. Our idea stems from the increased human involvement and desire to provide tags and annotate web content (e.g., in social media and product categorization applications). We define the required input from human users in the form of explicit structural information; that is, supertype-subtype relationships between concepts. Humans have a good understanding of such relationships. In this way, we harvest, via common annotation practices, the collective wisdom of users with respect to the (categorization of) web content they share and access. We further define the principles upon which crowdsourced taxonomy construction algorithms should be based. We show that the resulting problem is NP-Hard. We provide heuristic algorithms and relevant optimizations that aggregate human input, resolving conflicting input, and produce taxonomies. Our algorithm's evaluation is based on real-world crowdsourcing experiments (where real users provide such information) and on real-world taxonomies.".
- 158 hasAuthorList authorList.
- 158 isPartOf proceedings.
- 158 keyword "collective intelligence".
- 158 keyword "crowdsourcing".
- 158 keyword "social web".
- 158 keyword "tagging".
- 158 keyword "taxonomies".
- 158 title "Crowdsourcing Taxonomies".
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- item-1 type ListItem.
- item-1 hasContent dimitris-karampinas.
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- item-2 hasContent peter-triantafillou.
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- 164 creator christina-hoppermann.
- 164 creator claus-zinn.
- 164 creator thorsten-trippel.
- 164 type InProceedings.
- 164 label "The ISOcat Registry Reloaded".
- 164 sameAs 164.
- 164 abstract "The linguistics community is building a metadata-based infrastructure for the description of its research data and tools. At its core is the ISOcat registry, a collaborative platform to hold a (to be standardized) set of data catgories (i.e., field descriptors). Descriptors have definitions in natural language and little explicit interrelations. With the registry growing to many hundred entries, authored by many, it is becoming increasingly apparent that the rather informal definitions and their glossary-like design make it hard for users to grasp, exploit and manage the registry's content. In this paper, we take a large subset of the ISOcat term set and reconstruct from it a tree structure following the footsteps of schema.org. Our ontological re-engineering yields a representation that gives users a hierarchical view of linguistic, metadata-related terminology. The new representation adds to the precision of all definitions by making explicit information which is only implicitly given in the ISOcat registry. It also helps uncovering and addressing potential inconsistencies in term definitions as well as gaps and redundancies in the overall ISOcat term set. The new representation can serve as a complement to the existing ISOcat model, providing additional support for authors and users in browsing, (re-)using, maintaining, and further extending the community's terminological metadata repertoire.".
- 164 hasAuthorList authorList.
- 164 isPartOf proceedings.
- 164 keyword "(Collaborative) Ontology (Re-)Engineering".
- 164 keyword "Languages, tools, and methodologies for ontology engineering".
- 164 keyword "Ontologies for specific domains".
- 164 keyword "Ontology management, maintenance and reuse".
- 164 keyword "schema.org".
- 164 title "The ISOcat Registry Reloaded".
- authorList type List.
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- item-1 hasContent claus-zinn.
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- item-2 hasContent christina-hoppermann.
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- item-3 hasContent thorsten-trippel.
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- 171 creator maximilian-nickel.
- 171 creator volker-tresp.
- 171 creator xueyan-jiang.
- 171 creator yi-huang.