Matches in ScholarlyData for { ?s ?p ?o. }
- 32 keyword "sparql".
- 32 keyword "statistical relational learning".
- 32 title "Adding Data Mining Support to SPARQL via Statistical Relational Learning Methods".
- 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 christoph-kiefer.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent abraham-bernstein.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent andre-locher.
- item-3 previous item-2.
- 325 creator siegfried-handschuh.
- 325 creator simon-scerri.
- 325 creator stefan-decker.
- 325 type InProceedings.
- 325 label "Semantic Email as a communication medium for the Social Semantic Desktop".
- 325 sameAs 325.
- 325 abstract "In this paper, we introduce a formal email workflow model based on traditional email, which enables the user to define and execute ad-hoc workflows in an intuitive way. This model paves the way for semantic annotation of implicit, well-defined workflows, thus making them explicit and exposing the missing information in a machine processable way. Grounding this work within the Social Semantic Desktop [1] via appropriate ontologies means that this information can be exploited for the benefit of the user. This will have a direct impact on their personal information management - given email is not just a major channel of data exchange between desktops, but it also serves as a virtual working environment where people collaborate. Thus the presented workflow model will have a concrete manifestation in the creation, organization and exchange of semantic desktop data.".
- 325 hasAuthorList authorList.
- 325 hasTopic Collaborative_software.
- 325 hasTopic Natural_language_processing.
- 325 hasTopic Semantic_Web.
- 325 isPartOf proceedings.
- 325 keyword "personal information management".
- 325 keyword "semantic email".
- 325 keyword "social semantic desktop".
- 325 keyword "speech act theory".
- 325 keyword "workflow patterns".
- 325 title "Semantic Email as a communication medium for the Social Semantic Desktop".
- 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 simon-scerri.
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- item-2 type ListItem.
- item-2 hasContent siegfried-handschuh.
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- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent stefan-decker.
- item-3 previous item-2.
- 330 creator amit-sheth.
- 330 creator angela-maduko.
- 330 creator kemafor-anyanwu.
- 330 creator paul-schliekelman.
- 330 type InProceedings.
- 330 label "Graph Summaries for Subgraph Frequency Estimation".
- 330 sameAs 330.
- 330 abstract "Graphs are increasingly used to model data in many disciplines. Structure search which matches a query graph against a data graph, is a common information retrieval paradigm for graph structured data. A crucial factor in optimizing such searches is the ability to estimate the frequency of substructures within a query graph. In this work, we present and evaluate two techniques for estimating the frequency of subgraphs from a summary of the data graph. In the first technique, we assume that edge occurrences on edge sequences are position independent and summarize only the most informative dependencies. In the second technique, we prune small subgraphs based on a valuation scheme that blends information about their importance and estimation power. In both techniques, we assume conditional independence to estimate the frequencies of larger subgraphs. We validate the effectiveness of our techniques using experiments on real and synthetic datasets".
- 330 hasAuthorList authorList.
- 330 hasTopic Database_management_system.
- 330 hasTopic SPARQL.
- 330 hasTopic Semantic_Web.
- 330 isPartOf proceedings.
- 330 keyword "graph summaries".
- 330 keyword "result cardinality estimation".
- 330 keyword "subgraph cardinality estimation".
- 330 title "Graph Summaries for Subgraph Frequency Estimation".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent angela-maduko.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent kemafor-anyanwu.
- 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 paul-schliekelman.
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- 346 creator antoine-isaac.
- 346 creator guus-schreiber.
- 346 creator laura-hollink.
- 346 creator mark-van-assem.
- 346 creator shenghui-wang.
- 346 type InProceedings.
- 346 label "Two Variations on Ontology Alignment Evaluation: Methodological Issues".
- 346 sameAs 346.
- 346 abstract "Evaluation of ontology alignments is in practice done in two ways: (1) assessing individual correspondences and (2) comparing the alignment to a reference alignment. However, this type of evaluation does not guarantee that an application which uses the alignment will perform well. In this paper, we contribute to the current ontology alignment evaluation practices by proposing two alternative evaluation methods that take into account some characteristics of a usage scenario without doing a full-fledged end-to-end evaluation. We compare different evaluation approaches in three case studies, focussing on methodological issues. Each case study considers an alignment between a different pair of ontologies, ranging from rich and well-structured to small and poorly structured. This enables us to conclude on the use of different evaluation approaches in different settings.".