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We found 78 hits for your search of 'Semantic+web'.
  1. Le Monde

    /departments/databases-and-information-systems/research/yago-naga/le-monde

    Entities from the Web Using Unique Identifiers” ( pdf ) Workshop paper at Web and Databases (WebDB) at SIGMOD , 2015 See also: IBEX Web page Fabian M. Suchanek , Nicoleta Preda : “Semantic Culturomics” ( [...] Research Departments Databases and Information Systems Research YAGO-NAGA Le Monde Semantic Culturomics This project is developed jointly with the DBWeb team of Télécom ParisTech . The last decade has [...] the average age of famous people in different professions. By mining commercial products from the Web, we can trace the global trade flow on a map. People Huet, Thomas Suchanek, Fabian Publications Aliaksandr

  2. EnBlogue – What is New and Interesting in Web 2.0 ?

    /news/spotlight-articles/information-search-digital-knowledge/enblogue-what-is-new-and-interesting-in-web-20

    Interesting in Web 2.0 ? EnBlogue – What is New and Interesting in Web 2.0 ? Foteini Alvanaki & Sebastian Michel EnBlogue – What is New and Interesting in Web 2.0 ? The success of the Web 2.0 has drastically [...] supposed to sound like “in vogue”, meaning it is popular. EnBlogue processes web contents, annotated with the time of creation and semantic notes to detect surprising changes in the behavior of topics, which can [...] drastically changed the way information is generated on the Web, with millions of users actively contributing content in form of blog entries or micro-news (e.g., Twitter). In order to maintain an over- view

  3. Espresso

    /departments/databases-and-information-systems/research/yago-naga/espresso

    entity,snippet Download 462M ClueWeb12 Counts Number of entity occurrences in ClueWeb entity,count Download 8.4M ClueWeb12 Cooccurrence Entity-cooccurences in ClueWeb entity1,entity2,count Download 728M [...] Andrey Gubichev, and Klaus Berberisch Posters and Demonstrations Track of the 12th International Semantic Web Conference ( ISWC 2013 ), Sydney, NSW, Australia, October 21-25, 2013. People Seufert, Stephan [...] Espresso Espresso: Explaining Relationships between Entity Sets Espresso is a system to compute semantically meaningful substructures (so-called relatedness cores) from a knowledge graph. The purpose of

  4. Completeness, Recall, and Negation in Open-World Knowledge Bases - VLDB'21 Tutorial

    /vldb-2021-tutorial

    Summary General-purpose knowledge bases (KBs) are a cornerstone of the Semantic Web. Pragmatically constructed from available web sources, these KBs are far from complete, which poses a set of challenges [...] negative statements in Knowledge Bases, published at AKBC’20, and presented at ISWC’20, as significant Web Semantic related work in a sister-conference. Shrestha Ghosh - Max Planck Institute for Informatics, people [...] introduce the logical foundations of knowledge representation and querying under partial closed-world semantics. (ii) We show how information about recall can be identified inside KBs and in text, and (iii) how

  5. Research Reports

    /departments/databases-and-information-systems/publications/research-reports

    providing automatically gen- erated semantic aspects that can guide users to satisfying results regarding their information needs. To generate semantic aspects, we use semantic an- notations available in the [...] automatically gen-<br>erated semantic aspects that can guide users to satisfying results regarding<br>their information needs. To generate semantic aspects, we use semantic an-<br>notations available in [...] automatically gen-<br>erated semantic aspects that can guide users to satisfying results regarding<br>their information needs. To generate semantic aspects, we use semantic an-<br>notations available in

  6. Completeness, Recall, and Negation in Open-World Knowledge Bases - KR 2021 tutorial

    /kr-2021-tutorial

    Summary General-purpose knowledge bases (KBs) are a cornerstone of the Semantic Web. Pragmatically constructed from available web sources, these KBs are far from complete, which poses a set of challenges [...] negative statements in Knowledge Bases, published at AKBC’20, and presented at ISWC’20, as significant Web Semantic related work in a sister-conference. Shrestha Ghosh - Max Planck Institute for Informatics, people [...] introduce the logical foundations of knowledge representation and querying under partial closed-world semantics. (ii) We show how information about recall can be identified inside KBs and in text, and (iii) how

  7. RDF-3X – Fast Searches for Semantic Data

    /news/spotlight-articles/software/rdf-3x-fast-searches-for-semantic-data

    Searches for Semantic Data RDF-3X – Fast Searches for Semantic Data Thomas Neumann RDF-3X – Fast Searches for Semantic Data Semantic data RDF-3X is a database system to manage and search for semantic data, that [...] example, a book has one or more authors, a protein takes part in specific reactions and a user of web 2.0 web pages has connections to his friends. These relationships between things, or, more abstractly: [...] the entities themselves, form a network or graph structure. Using formal semantics associated with it, the data graphs form semantic networks, i.e., networks which allow for automatic reasoning. A data format

  8. Topics in Neural Information Retrieval

    /departments/databases-and-information-systems/teaching/ss19/topics-in-neural-information-retrieval

    Required: [15] Optional: [16], [17] 11 June no class 18 June Semantic matching Background: [19] Required: [21], [22] Optional: [20] 25 June Semantic matching #2 due, #3 assigned Background: [23], [24], [25] [...] Probabilistic Latent Semantic Indexing. Thomas Hofmann. SIGIR '99. [ pdf ] [20] Information Retrieval as Statistical Translation. Adam Berger and John Lafferty. SIGIR '99. [ pdf ] [21] Semantic Term Matching [...] Chang, Kenton Lee, and Kristina Toutanova. NAACL '19. [ pdf ] [26] Learning Deep Structured Semantic Models for Web Search using Clickthrough Data. Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero

  9. Commonsense knowledge extraction and consolidation

    /departments/databases-and-information-systems/teaching/ws2021/commonsense-knowledge-extraction-and-consolidation

    2: Chapter 3 in Stephen Tratz. 2011.Semantically-enriched parsingfor natural language understanding. University of Southern California. Reference 3: Advanced Semantics for Commonsense Knowledge Extraction [...] mandatory . Topics A psychological view on commonsense knowledge Reference 1: McRae, Ken, et al. "Semantic feature production norms for a large set of living and nonliving things." Behavior research methods [...] Resource, Ning et al., NAACL 2018 Reference 2: CauseNet: Towards a Causality Graph Extracted from the Web, Heindorf et al., CIKM 2020 Quantitative and comparative knowledge Reference 1: How Large Are Lions

  10. Ascent

    /ascent

    Departments Databases and Information Systems Research Commonsense Knowledge Ascent Ascent Advanced Semantics for Commonsense Knowledge Extraction Ascent ( A dvanced S emantics for C ommons e nse K n owledge [...] pipeline for automatically collecting, extracting and consolidating commonsense knowledge (CSK) from the web. Ascent is capable of extracting facet-enriched assertions, overcoming the common limitations of the [...] com/phongnt570/ascent Publications Tuan-Phong Nguyen, Simon Razniewski, Gerhard Weikum. Advanced Semantics for Commonsense Knowledge Extraction . WWW 2021. [ pdf ] Tuan-Phong Nguyen, Simon Razniewski, Gerhard