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question into a set of other easier-to-spot facts. The final output of our framework is a set of semantic traces for the candidate fact from both text and knowledge graphs. The experiments demonstrate that [...] Gad-Elrab , Daria Stepanova, Jacopo Urbani, and Gerhard Weikum In 12th International Conference on Web Search and Data Mining , ACM 2019. [ Text ], [ Poster ], [ Slides ] Tracy: Tracing Facts over Knowledge [...] (Demo) Mohamed H. Gad-Elrab , Daria Stepanova, Jacopo Urbani, and Gerhard Weikum In The 2019 World Wide Web Conference (WWW '19) , to appear, ACM 2019 [ Text ] Counterfactual Explanations for Recommenders C

information extraction, entity salience estimation, and concept linking. You can use AmbiverseNLU as web service, call it via command line scripts, or use it in your own code (e.g. as maven dependency). [...] Gerhard Weikum. Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning. EMNLP 2014 Johannes Hoffart, Dragan Milchevski, Gerhard Weikum. STICS: searching with strings

Learning from Knowledge Graphs , ISWC, 2017 [pdf] 4. Logical foundations of recall information The Semantic Web is commonly interpreted under the open-world assumption, meaning that information available (e [...] Our goal is to contribute a formal study of how to describe the completeness of parts of the Semantic Web stored in RDF data sources. We introduce a theoretical framework allowing to augment RDF data [...] Cardinalities , ISWC Poster, 2016 [pdf] More details on extracting and aggregating count knowledge on the web. 2. Relative completeness Several automated techniques have been adopted by Wikis to track and manage

by the International World Wide Web Conference for a longtime-pioneering paper Scientists of a Saarbrücken Max Planck Institute honored by the International World Wide Web Conference for a longtime-pioneering [...] Weikum presented during the International World Wide Web Conference in 2007. This is the most important conference for research about the World Wide Web. YAGO is a light-weight and extensible ontology that [...] was among the first projects to extract semantic knowledge at large scale from Wikipedia. Together with DBpedia, it is one of the pioneering contributors of the web of data. Over the years, several versions

Language Text, Soumajit Pramanik, Jesujoba Alabi, Rishiraj Saha Roy, and Gerhard Weikum, Journal of Web Semantics 2024. [ Preprint ] [ Data+Demo ] [ Code ] [ Poster ] EXPLAIGNN: Explainable Conversational Question [...] for the Curated Web Tasks and Methods in QA over Knowledge Bases and Text Collections , Rishiraj Saha Roy and Avishek Anand, Springer, 2022. Question Answering over Curated and Open Web Sources , Rishiraj [...] structures to semantic ones from a small number of training question-answer pairs. Once deployed, continuous learning is triggered on cases where templates are insufficient. Using a semantic similarity function

Systems Teaching Winter Semester 2017/18 Knowledge Representation for the Semantic Web Knowledge Representation for the Semantic Web Advanced lecture, 6 ECTS credits, winter semester 2017/2018 Organization [...] description Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research and industrial investigation. Its central idea is to add meaning (semantics) to the data [...] Reasoning Web 2011, LNCS 6848, pp. 76-136, 2011. Springer [2] Description Logic handbook [3] Pascal Hitzler, Markus Krötzsch, Sebastian Rudolph: Chapter 5 and Chapter 8. In Foundations of Semantic Web Technologies

Jan 19 Web Search I Web Search II JS JS Manning et al. Ch. 19, 20, 21 Manning et al. Ch. 19. 20, 21 4 Jan 24 Jan 26 (Cancelled) Text Mining JS JS Manning et al. Ch 13, 19 5 Jan 31 Feb 2 Semantic Search [...] Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the Semantic Web [...] al. Ch. 6, 9, 12, 18 3 Jan 15/16 IR Indexing Solution Manning et al. Ch. 3, 4, 5, 7 4 Jan 22/23 IR Web Search Solution Manning et al. Ch. 19, 20, 21 5 Jan 29/30 IR Text Mining Solution Manning et al. Ch

DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia (Lehmann, et al., Semantic Web 2015) [ pdf ] YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia (Hoffart [...] General common-sense KB: ConceptNet and WebChild -- Xueting Li (Paramita) Representing general relational knowledge in ConceptNet 5 (Speer & Harvasi, LREC 2012) [ pdf ] WebChild: Harvesting and Organizing C [...] Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the Semantic Web

Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the Semantic Web

the Semantic Web Semantic Web is a maturing field of technology that continues to be the emphasis of much focused research and industrial investigation. Its central idea is to add meaning (semantics) to [...] Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the Semantic Web [...] to the data on the Web thus making it machine processable. In this course we cover the standardized knowledge representation languages for enriching the data with meaning. More specifically, on the theoretical