Matches in ScholarlyData for { ?s ?p ?o. }
- 83 keyword "Semantic services".
- 83 keyword "workflow composition".
- 83 title "SPSC: Efficient Composition of Semantic Services in Unstructured P2P Networks".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent xiaoqi-cao.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent patrick-kapahnke.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent matthias-klusch.
- item-3 previous item-2.
- 86 creator kjetil-kjernsmo.
- 86 type InProceedings.
- 86 label "A survey of HTTP caching implementations on the open Semantic Web".
- 86 sameAs 86.
- 86 abstract "Scalability of the data access architecture in the Semantic Web is dependent on the establishment of caching mechanisms to take the load off of servers. Unfortunately, there is a chicken and egg problem here: Research, implementation, and evaluation of caching infrastructure is uninteresting as long as data providers do not publish relevant metadata. And publishing metadata is useless as long as there is no infrastructure that uses it. We show by means of a survey of live RDF data sources that caching metadata is prevalent enough already to be used in some cases. On the other hand, they are not commonly used even on relatively static data, and when they are given, they are very conservatively set. We point out future directions and give recommendations for the enhanced use of caching in the Semantic Web.".
- 86 hasAuthorList authorList.
- 86 isPartOf proceedings.
- 86 keyword "Caching".
- 86 keyword "HTTP".
- 86 keyword "Open Web".
- 86 keyword "Recommendations".
- 86 keyword "SPARQL Endpoints".
- 86 title "A survey of HTTP caching implementations on the open Semantic Web".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent kjetil-kjernsmo.
- 89 creator amit-sheth.
- 89 creator krishnaprasad-thirunarayan.
- 89 creator pavan-kapanipathi.
- 89 creator revathy-krishnamurthy.
- 89 type InProceedings.
- 89 label "Knowledge Enabled Approach to Predict the Location of Twitter Users".
- 89 sameAs 89.
- 89 abstract "The use of knowledge bases have been shown to improve performance in applications ranging from web search and event detection to entity recognition and disambiguation. More recently, knowledge bases have been used to address challenges in analyzing social data. A key challenge in this domain has been that of identifying the geographic footprint of online users in a social network such as Twitter. Existing approaches to predict the location of users, based on their tweets, solely rely on social media features or probabilistic language models. These approaches are purely data-driven and require large training dataset of geo-tagged tweets to build statistical models that predict the location of a user. As most Twitter users are reluctant to publish their location, the collection of geo-tagged tweets is a time intensive process. To address this issue, we present an alternative, knowledge-based approach to predict a Twitter user's location at the city level. We utilize Wikipedia as the source of our knowledge base by exploiting its hyperlink structure which alleviates the dependence on training data set. Our experiments, on a publicly available dataset demonstrate an improvement of 3\% in the accuracy of prediction, over the state of the art supervised techniques.".
- 89 hasAuthorList authorList.
- 89 isPartOf proceedings.
- 89 keyword "Location Prediction".
- 89 keyword "Semantics".
- 89 keyword "Twitter".
- 89 keyword "Wikipedia".
- 89 title "Knowledge Enabled Approach to Predict the Location of Twitter Users".
- authorList type List.
- authorList hasFirstItem item-1.
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- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent revathy-krishnamurthy.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent pavan-kapanipathi.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent amit-sheth.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent krishnaprasad-thirunarayan.
- item-4 previous item-3.
- 90 creator axel-cyrille-ngonga-ngomo.
- 90 creator jens-lehmann.
- 90 creator mohamed-ahmed-sherif.
- 90 type InProceedings.
- 90 label "Automating RDF Dataset Transformation and Enrichment".
- 90 sameAs 90.
- 90 abstract "With the adoption of RDF across several domains come growing requirements pertaining to the completeness and quality of RDF datasets. Currently, this problem is most commonly addressed by manually devising means to enriching an input dataset. The few tools that aim at supporting this endeavour usually focus on supporting the manual definition of enrichment pipelines. In this paper, we present a supervised learning approach based on a refinement operator for enriching RDF datasets. We show how we can use exemplary descriptions of enriched resources to generate accurate enrichment pipelines. We evaluate our approach against 8 manually defined enrichment pipelines and show that our approach can learn accurate pipelines even when provided with a small number of training examples.".
- 90 hasAuthorList authorList.
- 90 isPartOf proceedings.
- 90 keyword "Linked Data".
- 90 keyword "data enrichment".
- 90 keyword "refinement operators".
- 90 title "Automating RDF Dataset Transformation and Enrichment".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
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- item-1 type ListItem.
- item-1 hasContent mohamed-ahmed-sherif.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent axel-cyrille-ngonga-ngomo.
- item-2 next item-3.
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