the discovery of molecular interrelations between genomic and epigenomic features. EpiExplorer is a web-based tool that enables scientists to explore a multitude of large datasets in a fast and intuitive [...] versatile text indexing scheme in order to perform comprehensive analysis and visualization over the web in a matter of seconds. Datasets can also be compared quantitatively and users can incorporate their [...] mpg.de EpiExplorer and RnBeads: Integrative Analysis of Epigenomic Data RDF-3X – Fast Searches for Semantic Data Markerless Performance Capture
8fz/AADD2jHxBZm31IZ0n3U_Dnf8a?dl=0 WebChild WebChild is a large collection of commonsense knowledge, automatically extracted and disambiguated from Web contents. WebChild contains triples that connect [...] fine grained disambiguated assertions) of WebChild. Further links: Dedicated WebChild page WebChild: Harvesting and Organizing Commonsense Knowledge from the Web, Niket Tandon, Gerard de Melo, Fabian Suchanek [...] high-quality cultural commonsense knowledge (CCSK) at scale. Candle extracts CCSK assertions from a huge web corpus and organizes them into coherent clusters, for 3 domains of subjects (geography, religion,
Retrieval and Data Mining Tensors in Data Analysis Knowledge Bases Knowledge Representation for the SemanticWeb News & Events Publications Current Year Last Year The Year Before Last Research Reports Software [...] e Harvesting -- Amina Durakovic [ slides ] Tandon et al. (2014): WebChild: Harvesting and Organizing Commonsense Knowledge from the Web, WSDM. [ pdf ] 14:20 -- 14:55 Talk 2-6 R-3: Computational History [...] from Wikipedia, AI journal, 2013. [ pdf ] K-2: Tandon et al. (2014): WebChild: Harvesting and Organizing Commonsense Knowledge from the Web, WSDM, 2014. [ pdf ] Event Extraction E-1: Ritter et al (2012): Open
address the problem of incompleteness in KBs (particularly web-extracted KBs) The present page is no longer maintained, please go to the new Web page of AMIE People Galárraga, Luis Teflioudi, Christina Hose [...] 6 min Rules Wikidata (Dec 2014) 11296834 Default 25.50 min Rules Knowledge bases YAGO YAGO is a semantic knowledge base derived from Wikipedia, WordNet and GeoNames. The latest version, YAGO2s, contains [...] predictions by automatically looking them up in YAGO2s or by manual evaluation in Wikipedia and the Web. We produced around 400K predictions, so estimated the real precision using a sample. Results Pred
Worlds with Web 2.0 Technology,” Universität des Saarlandes, Saarbrücken, 2010. more Abstract Current Web technologies allow developers to create rich Web-applications. Unlike desktop applications Web 2.0 programs [...] YEAR = {2010}, DATE = {2010}, ABSTRACT = {Current Web technologies allow developers to create rich Web-applications. Unlike desktop applications Web 2.0 programs are created by easily linking several [...] do not produce the semantic annotations required for motion synthesis and building large-scale motion databases. In this thesis, an approach for a semi-automatic framework for semantic segmentation of motion
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
Information Systems Research YAGO-NAGA NAGA NAGA: Searching and Ranking Knowledge NAGA is a new semantic search engine. It can operate on knowledge bases that are organized as graphs with labeled nodes [...] Uncoils: Searching with Entities and Relations" ( pdf , bib , poster ) 16th International World Wide Web Conference (WWW 2007) Demo Querying A query has the form E1 R1 E2 E3 R2 E4 ... where the Ei's are entities [...] through the ontological information. <iframe src="http://uniat5401.ag5.mpi-sb.mpg.de:8180/webyago/WebInterfaceNaga" name="Fensterlein" width="500" height="1000" marginheight="10" marginwidth="10" alig
Publications Main paper: "Combining Linguistic and Statistical Analysis to Extract Relations from Web Documents" ( pdf , bib , Technical Report ) "LEILA: Learning to Extract Information by Linguistic Analysis" [...] is This is a set of corpora for relation extraction. Relation extraction is the task of, given a semantic target relation and given a natural language corpus, extracting all pairs of entities in the corpus [...] following pairs: instanceOf Mickey M. Mouse president Washington D.C. city Washington D.C. captial This web site provides corpora for evaluating Relation Extraction systems. For each document in the corpus,
challenges regarding the intelligent organization, semantic search, and deep analysis of the data. This concerns not just the data and knowledge on the Web, but also in databases, social media, digital libraries
