Matches in ScholarlyData for { ?s ?p ?o. }
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent clement-jonquet.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent nigam-shah.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent mark-a-musen.
- item-5 previous item-4.
- 387 creator sheila-mcilraith.
- 387 creator shirin-sohrabi.
- 387 type InProceedings.
- 387 label "Optimizing Web Service Composition while Enforcing Regulations".
- 387 sameAs 387.
- 387 abstract "To direct automated Web service composition, it is compelling to provide a template, workflow or scaffolding that dictates the ways in which services can be composed. In this paper we present an approach to Web service composition that builds on work using AI planning, and more specifically Hierarchical Task Networks (HTNs), for Web service composition. A significant advantage of our approach is that it provides much of the how-to knowledge of a choreography while enabling customization and optimization of integrated Web service selection and composition based upon the needs of the specific problem, the preferences of the customer, and the available services. Many customers must also be concerned with enforcement of regulations, perhaps in the form of corporate policies and/or government regulations. Regulations are traditionally enforced at design time by verifying that a workflow or composition adheres to regulations. Our approach supports customization, optimization and regulation enforcement all at composition construction time. To maximize efficiency, we have developed novel search heuristics together with a branch and bound search algorithm that enable the generation of high quality compositions with the performance of state-of-the-art planning systems.".
- 387 hasAuthorList authorList.
- 387 hasTopic Semantic_Web.
- 387 isPartOf proceedings.
- 387 title "Optimizing Web Service Composition while Enforcing Regulations".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent shirin-sohrabi.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent sheila-mcilraith.
- item-2 previous item-1.
- 391 creator edgar-meij.
- 391 creator hugo-zaragoza.
- 391 creator peter-mika.
- 391 type InProceedings.
- 391 label "Investigating the Semantic Gap through Query Log Analysis".
- 391 sameAs 391.
- 391 abstract "Significant efforts have focused in the past years on bringing large amounts of metadata online and the success of these efforts can be seen by the impressive number of web sites exposing data in RDFa or RDF/XML. However, little is known about the extent to which this data fits the needs of ordinary web users with everyday information needs. In this paper we study what we perceive as the semantic gap between the supply of data on the Semantic Web and the needs of web users as expressed in the queries submitted to a major Web search engine. We perform our analysis on both the level of instances and ontologies. First, we first look at how much data is actually relevant to Web queries and what kind of data is it. Second, we provide a generic method to extract the attributes that Web users are searching for regarding particular classes of entities. This method allows to contrast class definitions found in Semantic Web vocabularies with the attributes of objects that users are interested in. Our findings are crucial to measuring the potential of semantic search, but also speak to the state of the Semantic Web in general.".
- 391 hasAuthorList authorList.
- 391 hasTopic Semantic_Web.
- 391 isPartOf proceedings.
- 391 title "Investigating the Semantic Gap through Query Log Analysis".
- 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 peter-mika.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent edgar-meij.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent hugo-zaragoza.
- item-3 previous item-2.
- 403 creator andreas-harth.
- 403 creator sheila-kinsella.
- 403 creator stefan-decker.
- 403 type InProceedings.
- 403 label "Using Naming Authority to Rank Data and Ontologies for Web Search".
- 403 sameAs 403.
- 403 abstract "The focus of web search is moving away from returning relevant documents towards returning structured data as results to user queries. A vital part in the architecture of search engines are link-based ranking algorithms, which however are targeted towards hypertext documents. Existing ranking algorithms for structured data, on the other hand, require manual input of a domain expert and are thus not applicable in cases where data integrated from a large number of sources exhibits enormous variance in vocabularies used. In such environments, the authority of data sources is an important signal that the ranking algorithm has to take into account. This paper presents algorithms for prioritising data returned by queries over web datasets expressed in RDF. We introduce the notion of naming authority which provides a correspondence between identifiers and the sources which can speak authoritatively for these identifiers. Our algorithm uses the original PageRank method to assign authority values to data sources based on a naming authority graph, and then propagates the authority values to identifiers referenced in the sources. We conduct performance and quality evaluations of the method on a large web dataset. Our method is schema-independent, requires no manual input, and has applications in search, query processing, reasoning, and user interfaces over integrated datasets.".
- 403 hasAuthorList authorList.
- 403 hasTopic Semantic_Web.
- 403 isPartOf proceedings.
- 403 title "Using Naming Authority to Rank Data and Ontologies for Web Search".
- 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 andreas-harth.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent sheila-kinsella.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent stefan-decker.
- item-3 previous item-2.
- 405 creator eva-blomqvist.
- 405 type InProceedings.
- 405 label "OntoCase - Automatic Ontology Enrichment Based on Ontology Design Patterns".
- 405 sameAs 405.
- 405 abstract "OntoCase is a framework for semi-automatic pattern-based ontology construction. In this paper we focus on the retain and reuse phases, where an initial ontology is enriched based on content ontology design patterns (Content ODPs), and especially the implementation and evaluation of these phases. Applying Content ODPs within semiautomatic ontology construction, i.e. ontology learning (OL), is a novel approach. The main contributions of this paper are the methods for pattern ranking, selection, and integration, and the subsequent evaluation showing the characteristics of ontologies constructed automatically based on ODPs. We show that it is possible to improve the results of existing OL methods by selecting and reusing Content ODPs. OntoCase is able to introduce a general top structure into the ontologies, and by exploiting background knowledge the ontology is given a richer overall structure.".
- 405 hasAuthorList authorList.
- 405 hasTopic Semantic_Web.
- 405 isPartOf proceedings.
- 405 title "OntoCase - Automatic Ontology Enrichment Based on Ontology Design Patterns".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.