Matches in ScholarlyData for { ?s ?p ?o. }
- 420 isPartOf proceedings.
- 420 title "Reliable QoS Monitoring Based on Client Feedback".
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- item-1 hasContent radu-jurca.
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- item-2 hasContent walter-binder.
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- item-3 hasContent boi-faltings.
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- 428 creator kalina-bontcheva.
- 428 creator yaoyong-li.
- 428 type InProceedings.
- 428 label "Hierarchical, Perceptron-like Learning for Ontology-Based Information Extraction".
- 428 sameAs 428.
- 428 abstract "Recent work on ontology-based Information Extraction (IE) has tried to make an increased use of the knowledge from the target ontology in order to improve the semantic annotation results. However, only very few approaches are able to benefit from the ontology structure and one of them is not a learning system, thus is not easy to adapt to new domains, whereas the other one does not perform semantic annotation of documents, but only ontology population.<br /><br /> This paper introduces a hierarchical learning approach for IE, which uses the target ontology as an essential part of the extraction process. Hierarchical classification takes into account the relations between concepts, thus benefiting directly from the ontology.<br /><br /> We also carry out evaluation experiments on the largest available semantically annotated corpus of 146 classes. The results demonstrate clearly the benefits of using knowledge from the ontology for ontology-based IE. We also demonstrate the advantages of our approach over other state-of-the-art learning systems on a commonly used benchmark dataset.".
- 428 hasAuthorList authorList.
- 428 isPartOf proceedings.
- 428 title "Hierarchical, Perceptron-like Learning for Ontology-Based Information Extraction".
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- item-1 hasContent yaoyong-li.
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- item-2 hasContent kalina-bontcheva.
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- 429 creator juliana-freire.
- 429 creator luciano-barbosa.
- 429 type InProceedings.
- 429 label "An Adaptive Crawler for Locating Hidden-Web Entry Points".
- 429 sameAs 429.
- 429 abstract "In this paper we describe new adaptive crawling strategies to efficiently locate the entry points to hidden-Web sources. The fact that hidden-Web sources are very sparsely distributed makes the problem of locating them especially challenging. We deal with this problem by using the contents of pages to focus the crawl on a topic; by prioritizing promising links within the topic; and by also following links that may not lead to immediate benefit. We propose a new framework whereby crawlers automatically learn patterns of promising links, and adapt their focus as the crawl progresses, thus greatly reducing the amount of required manual setup and tuning. Our experiments over real Web pages in a representative set of domains indicate that online learning leads to significant gains in harvest rates'the adaptive crawlers retrieve up to three times as many forms as crawlers that use a fixed focus strategy.".
- 429 hasAuthorList authorList.
- 429 isPartOf proceedings.
- 429 title "An Adaptive Crawler for Locating Hidden-Web Entry Points".
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- item-1 hasContent luciano-barbosa.
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- item-2 hasContent juliana-freire.
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- 433 creator bernardo-cuenca-grau.
- 433 creator ian-horrocks.
- 433 creator ulrike-sattler.
- 433 creator yevgeny-kazakov.
- 433 type InProceedings.
- 433 label "Just the Right Amount: Extracting Modules from Ontologies".
- 433 sameAs 433.
- 433 abstract "The ability to extract meaningful fragments from an ontology is key for ontology re-use. We propose a definition of a module that guarantees to completely capture the meaning of a given set of terms, i.e., to include all axioms relevant to the meaning of these terms, and study the problem of extracting minimally sized modules. We show that the problem of deciding if a module is minimal is undecidable even for rather restricted sub-languages of OWL DL. Hence we propose two ``approximations'', i.e., alternative definitions of modules for a vocabulary that still provide the above guarantee, but that are possibly too strict, and that may thus result in larger modules: the first approximation is semantic and can be checked using existing DL reasoners; the second is syntactic, and can be computed in polynomial time. Finally, we report on an empirical evaluation of our syntactic approximation that demonstrates that the modules we extract are surprisingly small.".
- 433 hasAuthorList authorList.
- 433 isPartOf proceedings.
- 433 title "Just the Right Amount: Extracting Modules from Ontologies".
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- item-1 hasContent bernardo-cuenca-grau.
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- item-2 hasContent ian-horrocks.
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- item-3 hasContent yevgeny-kazakov.
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- item-4 hasContent ulrike-sattler.
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- 435 creator axel-polleres.
- 435 type InProceedings.
- 435 label "From SPARQL to Rules (and back)".
- 435 sameAs 435.
- 435 abstract "As the data and ontology layers of the Semantic Web stack have achieved a certain level of maturity in standard recommendations such as RDF and OWL, the current focus lies on two related aspects. On the one hand, the definition of a suitable query language for RDF, SPARQL, seems to be close to candidate recommendation status within the W3C. The establishment of the Rules layer on top of the existing stack on the other hand marks the next step to be tackled, where especially languages with their roots in Logic Programming and Deductive Databases are receiving considerable attention. The purpose of this paper is threefold. First, we discuss the formal semantics of SPARQL extending recent results in several ways. Second, we provide translations from SPARQL to Datalog with stratified negation as failure. Third, we propose some useful and easy to implement extensions of SPARQL, based on this translation. As it turns out, the combination serves for direct implementations of SPARQL on top of existing rules engines as well as a basis for more general rules and query languages on top of RDF.".
- 435 hasAuthorList authorList.
- 435 isPartOf proceedings.
- 435 title "From SPARQL to Rules (and back)".
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