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- item-1 hasContent birte-glimm.
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- 301 creator jeff-heflin.
- 301 creator yingjie-li.
- 301 type InProceedings.
- 301 label "Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources".
- 301 sameAs 301.
- 301 abstract "In order to effectively and quickly answer queries in environments with distributed RDF/OWL, we present a query optimization algorithm to identify the potentially relevant Semantic Web data sources using structural query features and a term index. This algorithm is based on the observation that the join selectivity of a pair of query triple patterns is often higher than the overall selectivity of these two patterns treated independently. Given a rule goal tree that expresses the reformulation of a conjunctive query, our algorithm uses a bottom-up approach to estimate the selectivity of each node. It then prioritizes loading of selective nodes and uses the information from these sources to further constrain other nodes. Finally, we use an OWL reasoner to answer queries over the selected sources and their corresponding ontologies. We have evaluated our system using both a synthetic data set and a subset of the real-world Billion Triple Challenge data.".
- 301 hasAuthorList authorList.
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- 301 keyword "information integration".
- 301 keyword "query optimization".
- 301 keyword "query reformulation".
- 301 keyword "semantic web".
- 301 keyword "source selectivity".
- 301 title "Using Reformulation Trees to Optimize Queries over Distributed Heterogeneous Sources".
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- 304 creator sheila-mcilraith.
- 304 creator shirin-sohrabi.
- 304 type InProceedings.
- 304 label "Preference-based Web Service Composition: A Middle Ground Between Execution and Search".
- 304 sameAs 304.
- 304 abstract "Much of the AI-related work on Web Service Composition (WSC) relates it to an Artificial Intelligence (AI) planning problem, where the composition is primarily done offline prior to execution. Recent research on WSC has argued convincingly for the importance of optimizing quality of service and user preferences. While some of this optimization can be done offline, many interesting and useful optimizations are data-dependent, and must be done following execution of at least some information-providing services. In this paper, we examine this class of WSC problems, attempting to bridge the gap between offline composition and online information gathering with a view to producing high-quality compositions without excessive data gathering. Our investigation is performed in the context of an existing preference-based Hierarchical Task Networks (HTNs) WSC system. Our experiments show an improvement in both the quality and speed of finding a composition.".
- 304 hasAuthorList authorList.
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- 304 keyword "semantic web".
- 304 title "Preference-based Web Service Composition: A Middle Ground Between Execution and Search".
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- 305 creator aidan-hogan.
- 305 creator axel-polleres.
- 305 creator jeff-z-pan.
- 305 creator stefan-decker.
- 305 type InProceedings.
- 305 label "SAOR: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data Triples".
- 305 sameAs 305.
- 305 abstract "In this paper, we discuss optimisations of rule-based materialisation approaches for reasoning over large static RDF datasets. We generalise and reformalise what we call the "partial-indexing" approach to scalable rule-based materialisation: the approach is based on a separation of terminological data, which has been shown in previous and related works to enable highly scalable and distributable reasoning for specific rulesets; in so doing, we provide some completeness propositions with respect to semi-naive evaluation. We then show how related work on template rules - T-Box-specific dynamic rulesets created by binding the terminological patterns in the static ruleset - can be incorporated and optimised for the partial-indexing approach. We evaluate our methods using LUBM(10) for RDFS, pD* (OWL Horst) and OWL 2 RL, and thereafter demonstrate pragmatic distributed reasoning over 1.12 billion Linked Data statements for a subset of OWL 2 RL/RDF rules we argue to be suitable for Web reasoning.".
- 305 hasAuthorList authorList.
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- 305 keyword "semantic web".
- 305 title "SAOR: Template Rule Optimisations for Distributed Reasoning over 1 Billion Linked Data Triples".
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- item-1 hasContent aidan-hogan.
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- 307 creator carlos-viegas-damasio.
- 307 creator joao-leite.
- 307 creator jose-julio-alferes.
- 307 type InProceedings.
- 307 label "Declarative Semantics for the Rule Interchange Format Production Rule Dialect".
- 307 sameAs 307.