Matches in ScholarlyData for { ?s ?p ?o. }
- 113 title "Is There Anything Worth Finding on the Semantic Web?".
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- item-1 hasContent harry-halpin.
- 114 type InProceedings.
- 114 label "Instance-based Probabilistic Reasoning in the Semantic Web".
- 114 sameAs 114.
- 114 abstract "Most of the approaches for dealing with uncertainty in the Semantic Web rely on the principle that this uncertainty is already asserted. In this paper, we propose a new approach to learn and reason about uncertainty in the Semantic Web. Using instance data, we learn the uncertainty of an OWL ontology, and use that information to perform probabilistic reasoning on it. For this purpose, we use Markov logic, a new representation formalism that combines logic with probabilistic graphical models. cumbersome and difficult task, invalidating all the gains that could arise from the annotation. In fact, uncertainty is a common characteristic of the current Web. When we create a webpage, for example, search engines are responsible to assert what is the probabilistic relevance of it, compared to other pages, to certain topics. We don't have to explicitly refer that information: we just create its content, and search engines do the rest. So, we must develop similar automatic mechanisms to perform reasoning in the Semantic Web. In this work, we study how we can make probabilistic reasoning on OWL ontologies without any kind of uncertainty annotation. To assert the uncertainty of its axioms, we use solely the information of its instances. For this purpose, we use Markov logic [4], a novel approach that combines logic and probability in the same representation.".
- 114 hasAuthorList authorList.
- 114 isPartOf proceedings.
- 114 keyword "Poster Session".
- 114 title "Instance-based Probabilistic Reasoning in the Semantic Web".
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- item-1 hasContent pedro-oliveira.
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- item-2 hasContent paulo-gomes.
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- 115 type InProceedings.
- 115 label "A Flight Meta-Search Engine with Metamorph".
- 115 sameAs 115.
- 115 abstract "We demonstrate a flight meta-search engine that is based on the Metamorph framework. Metamorph provides mechanisms to model web forms together with the interactions which are needed to fulfil a request, and can generate interaction sequences that pose queries using these web forms and collect the results. In this paper, we discuss an interesting new feature that makes use of the forms themselves as an information source. We show how data can be extracted from web forms (rather than the data behind web forms) to generate a graph of flight connections between cities. The flight connection graph allows us to vastly reduce the number of queries that the engine sends to airline websites in the most interesting search scenarios; those that involve the controversial practice of creative ticketing, in which agencies attempt to find lower price fares by using more than one airline for a journey. We describe a system which attains data from a number of websites to identify promising routes and prune the search tree. Heuristics that make use of geographical information and an estimation of cost based on historical data are employed. The results are then made available to improve the quality of future search requests. Categories and Subject Descriptors: H.3.4 [Information Storage and Retrieval]: Systems and Software General Terms: Algorithms, Design, Experimentation. Keywords: Hidden Web, Web Data Extraction, Web Form Mapping, Web Form Extraction.".
- 115 hasAuthorList authorList.
- 115 isPartOf proceedings.
- 115 keyword "Poster Session".
- 115 title "A Flight Meta-Search Engine with Metamorph".
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- item-1 hasContent bernhard-krueepl.
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- item-2 hasContent wolfgang-holzinger.
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- item-3 hasContent yansen-darmaputra.
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- item-4 hasContent robert-baumgartner.
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- 116 type InProceedings.
- 116 label "Thumbs-Up: A Game for Playing to Rank Search Results".
- 116 sameAs 116.
- 116 abstract "Human computation is an effective way to channel human effort spent playing games to solving computational problems that are easy for humans but difficult for computers to automate. We propose Thumbs-Up, a new game for human computation with the purpose of playing to rank search result. Our experience from users shows that Thumbs-Up is not only fun to play, but produces more relevant rankings than both a major search engine and optimal rank aggregation using the Kemeny rule.".
- 116 hasAuthorList authorList.
- 116 isPartOf proceedings.
- 116 keyword "Poster Session".
- 116 title "Thumbs-Up: A Game for Playing to Rank Search Results".
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- item-1 hasContent ali-dasdan.
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- item-2 hasContent chris-drome.
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- item-3 hasContent santanu-kolay.
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- 117 type InProceedings.
- 117 label "Search Shortcuts: Driving Users Towards Their Goals".
- 117 sameAs 117.
- 117 abstract "Giving suggestions to users of Web-based services is a common practice aimed at enhancing their navigation experience. Major Web Search Engines usually provide Suggestions under the form of queries that are, to some extent, related to the current query typed by the user, and the knowledge learned from the past usage of the system. In this work we introduce Search Shortcuts as "Successful " queries allowed, in the past, users to satisfy their information needs. Differently from conventional suggestion techniques, our search shortcuts allows to evaluate effectiveness by exploiting a simple train-and-test approach. We have applied several Collaborative Filtering algorithms to this problem, evaluating them on a real query log data. We generate the shortcuts from all user sessions belonging to the testing set, and measure the quality of the shortcuts suggested by considering the similarity between them and the navigational user behavior.".
- 117 hasAuthorList authorList.
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- 117 title "Search Shortcuts: Driving Users Towards Their Goals".
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- item-1 hasContent ranieri-baraglia.
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