YAGO2 – Meta-Guide.com

Notes:

YAGO2 is a large-scale, open-source knowledge base that is built automatically from structured and unstructured data sources such as Wikipedia, WordNet, and GeoNames. It is a semantic knowledge base that represents concepts and relationships between them in a structured way, using a set of relation-specific heuristics to extract knowledge from the source data.

YAGO2 is particularly well-known for its focus on spatial and temporal information, which are important for understanding the context and meaning of concepts and relationships. It includes more than 200 million facts, many of which are augmented with relevant temporal and spatial information. This makes it a valuable resource for tasks that require a rich, spatially and temporally enhanced understanding of concepts and relationships.

YAGO2 is one of the most widely used ontologies, or formal representations of concepts and relationships, and is used in a variety of applications, including natural language processing, information retrieval, and machine learning. It has been developed and maintained by a team of researchers and developers, and is constantly updated with new data and features.

Domain-specific ontologies are formal representations of concepts and relationships within a particular domain or subject area. They can be constructed from hierarchical web documents by combining them with a knowledge base such as YAGO2, and then used in various applications, including automatic question answering systems and recommender systems.

To allow for better comparability, it is often useful to transform different ontologies and datasets into a common format, such as the N-Triple format. This involves representing each concept and relationship as a single row, or triple, in the dataset. Tools such as RDF2RDF and TopBraid Composer can be used to convert datasets into this format.

There are several widely used datasets that can be used as benchmarks for comparing the size and complexity of different ontologies and knowledge bases. These include the Barton dataset, which is a complete dump of the MIT Libraries Barton catalog, and the LUBM (Lehigh University Benchmark) dataset, which is a freely available dataset based on YAGO2. Other datasets in this vein include Freebase, UniProt, Linked Life Data, Bio2RDF, and SONCA (Search based on ONtologies and Compound Analytics).

Wikipedia:

YAGO (database)

References:

Intelligent Tools for Building a Scientific Information Platform (2012)

Yago2: exploring and querying world knowledge in time, space, context, and many languages J Hoffart, FM Suchanek, K Berberich… – Proceedings of the 20th …, 2011 – dl.acm.org Abstract We present YAGO2, an extension of the YAGO knowledge base with focus on temporal and spatial knowledge. It is automatically built from Wikipedia, GeoNames, and WordNet, and contains nearly 10 million entities and events, as well as 80 million facts … Cited by 37 Related articles All 18 versions

[PDF] from mpg.de YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia J Hoffart, FM Suchanek, K Berberich, G Weikum – Artificial Intelligence, 2012 – Elsevier Abstract We present YAGO2, an extension of the YAGO knowledge base, in which entities, facts, and events are anchored in both time and space. YAGO2 is built automatically from Wikipedia, GeoNames, and WordNet. It contains 447 million facts about 9.8 million entities … Cited by 35 Related articles All 12 versions

[PDF] from ceur-ws.org [PDF] Yet Another Triple Store Benchmark? Practical Experiences with Real-World Data M Voigt, A Mitschick, J Schulz – Semantic Digital Archives, 2012 – ceur-ws.org … Page 86. graph of our archive, eg, with information about people or organizations from New York Times [4] or YAGO2 [5], to improve the search. … Therefore, for all but YAGO2 Core we used the current version of TopBraid composer. For YAGO2 we used the RDF2RDF tool [18]. … View as HTML

AWETO: efficient incremental update and querying in rdf storage system X Pu, J Wang, P Luo, M Wang – Proceedings of the 20th ACM …, 2011 – dl.acm.org … Two datasets are used, YAGO2 [6] (the core version) and LUBM [11]. YAGO2 contains 15,820,985 different strings and 32,393,226 differ- ent triples. … In all the tests, the block size is set to 32 bytes. Segment size is set to 32 for YAGO2 and 512 for LUBM. … Related articles

[PDF] from uniroma1.it [PDF] WiSeNet: Building a Wikipedia-based Semantic Network with Ontologized Relations A Moro, R Navigli – 2012 – wwwusers.di.uniroma1.it … 17]. One of the most widespread ontologies is YAGO2 [6], which exploits a set of relation- specific heuristics to extract knowledge from Wikipedia, Geo- Names and WordNet. However … p2. Page 4. ReVerb YAGO2 WikiNet Coverage … View as HTML

MemoryBook: generating narratives from lifelogs HS Packer, A Smith, P Lewis – Proceedings of the 2nd workshop on …, 2012 – dl.acm.org … We contribute to the state-of-the-art by enriching personal narratives with information from the Semantic Web, namely DBPedia, GeoNames and YAGO2. … 2. We extract facts from the entity’s properties in DB- Pedia, YAGO2 and GeoNames. … Related articles

[PDF] from inria.fr SPARQL query answering with bitmap indexes J Leblay – Proceedings of the 4th International Workshop on …, 2012 – dl.acm.org … 4.1 Tables and indexes space requirement We first compare the space required to store the triple table with three widely used datasets: Barton, DBpedia and YAGO2. … For instance, YAGO2 almost doubles in size as a result of materialization, jumping from 33M to 64M triples. … Related articles All 4 versions

[PDF] from mpg.de [PDF] Aida: An online tool for accurate disambiguation of named entities in text and tables MA Yosef, J Hoffart, I Bordino… – Proceedings of the …, 2011 – domino.mpi-inf.mpg.de … Our approach leverages the YAGO2 knowledge base [8], as an entity catalog and a rich source of relationships among entities. … AIDA draws on the YAGO2 knowledge base [8] and its rich statistics derived from Wikipedia and other sources. … Cited by 8 Related articles View as HTML All 6 versions

[PDF] from mpg.de Extraction of temporal facts and events from Wikipedia E Kuzey, G Weikum – Proceedings of the 2nd Temporal Web Analytics …, 2012 – dl.acm.org … Most related to our objective is the work on T-YAGO [19] and YAGO2 [6], which are predecessors of the work pre- sented in this paper. … YAGO2 [6] is a recent extension of the YAGO[13] knowl- edge base with a focus on temporal and spatial knowledge. … Cited by 1 Related articles All 6 versions

[PDF] from mpg.de [PDF] PATTY: A Taxonomy of Relational Patterns with Semantic Types N Nakashole, G Weikum, F Suchanek – EMNLP12, 2012 – mpi-inf.mpg.de … In our experiments, we used the YAGO2 knowledge base (Hoffart 2011). … These dimensions are discussed in the following four subsections. We also per- formed an extrinsic study to demonstrate the use- fulness of PATTY for paraphrasing the relations of DBpedia and YAGO2. … Cited by 4 Related articles View as HTML All 6 versions

[PDF] from rutgers.edu [PDF] Path query processing on very large rdf graphs A Gubichev, T Neumann – Proc. of the 14th International …, 2011 – webdb2011.rutgers.edu … We give an extensive experimental analysis of our tech- niques using the very large RDF graphs of UniProt and YAGO2. … We measured the accuracy of Algorithm 3 by using the YAGO2 dataset from Section 4 and comparing the estimated cardinalities with the real cardinalities. … Cited by 5 Related articles View as HTML

Domain-Specific Ontology Construction from Hierarchy Web Documents L Xiaoming, X Jinzhong… – … Knowledge and Grid ( …, 2011 – ieeexplore.ieee.org … YAGO2 [12] is a huge semantic knowledge base, derived from Wikipedia, WordNet and GeoNames. Currently … method. x Combined with YAGO2, form an ontology group, and then apply them in automatic Question Answering System. … Related articles All 4 versions

[PDF] from tum.de Combining information extraction, deductive reasoning and machine learning for relation prediction X Jiang, Y Huang, M Nickel, V Tresp – The Semantic Web: Research and …, 2012 – Springer … system. We validate our model using data from the YAGO2 ontology, and from Linked Life Data and Bio2RDF, all of which are part of the Linked Open Data (LOD) cloud. 1 Introduction … 7.2 Predicting Writer’s Nationality in YAGO2 The … Cited by 4 Related articles All 7 versions

[PDF] from snu.ac.kr RP-Filter: a path-based triple filtering method for efficient SPARQL query processing K Kim, B Moon, HJ Kim – The Semantic Web, 2012 – Springer … We used two datasets: YAGO2[14] as a small real-life dataset and LUBM[15] as a large synthetic dataset. … Table 2. Statistics about Datasets predicate triples RDF-3X size YAGO2 94 195,048,649 7.6 GB LUBM 18 1,334,681,192 70 GB Table 2 shows statistics about the datasets. … Related articles All 3 versions

[PDF] from semantic-web-journal.net [PDF] A scalable approach for statistical learning in semantic graphs Y Huang, V Tresp, M Nickel… – Semantic Web …, 2012 – semantic-web-journal.net … Very recently, it has been used to factor the YAGO2 ontology [38]. … Examples of such semantic graphs are the RDF graphs of the Semantic Web [2] and LOD [1], the underlying data structure in the YAGO2 ontology [48] and the semantic graph for- mat in [49]. … Cited by 1 View as HTML

Learning through overcoming inheritance inconsistencies D Zhang, M Lu – Information Reuse and Integration (IRI), 2012 …, 2012 – ieeexplore.ieee.org … YAGO2 is a large and extendable knowledge base capable of unifying facts automatically extracted from Wikipedia Web documents to concepts in WordNet and GeoNames [8]. YAGO2 exhibits its continuous learning capability by allowing new facts to be incrementally added to … Related articles

[PDF] from cmu.edu [PDF] Acquiring Temporal Constraints between Relations PP Talukdar, D Wijaya, T Mitchell – 2012 – rtw.ml.cmu.edu … Our Contributions: We consider the problem of learn- ing typical temporal ordering between relations (eg, acte- dIn(person, film) happens before wonPrize(film, award)), given a database of macro-read facts (relation instances) such as Yago2 [12] without time information. … Related articles View as HTML All 4 versions

[PDF] from tu-muenchen.de Scalable Relation Prediction Exploiting both Intrarelational Correlation and Contextual Information X Jiang, V Tresp, Y Huang, M Nickel… – Machine Learning and …, 2012 – Springer Page 1. Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information Xueyan Jiang2, Volker Tresp1,2, Yi Huang1,2, Maximilian Nickel2, and Hans-Peter Kriegel2 1 Siemens AG, Corporate … Cited by 1 Related articles All 5 versions

[PDF] from fujaba.de [PDF] SDM online J Dreyer, C Eickhoff, A Zündorf – Fujaba Days 2011, 2011 – fujaba.de … The mentioned recommenders are work in progress but we have already implemented recommenders that work on back- ends like YAGO2 [7] and vornamen. com. … YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia. … Related articles View as HTML

[PDF] from unirioja.es FunGramKB y el conocimiento cultural C Periñán-Pascual… – … online: Revista electrónica …, 2011 – dialnet.unirioja.es … Índice 1 Introducción 2 Bases de conocimiento cultural 2.1 YAGO y YAGO2 2.2 DBpedia 3 Metodología para la importación de conocimiento cultural a FunGramKB 3.1 Fase de construcción 3.1.1 Relevancia y pertinencia de las propiedades 3.1.2 Identificación del tipo de … Cited by 1 Related articles All 4 versions

[PDF] from csic.es [PDF] Challenges for Qualitative Spatial Reasoning in Linked Geospatial Data M Koubarakis, K Kyzirakos… – … on Benchmark and …, 2011 – ijcai-11.iiia.csic.es … data sets with advances in the automatic extraction of qualitative spatial re- lations from textual Web sources [Schockaert et al., 2008], images [Mylonas et al., 2009; Hudelot et al., 2008], etc., and the creation of ontologies with a geospatial component such as YAGO2 [Hoffart et al … Cited by 11 Related articles View as HTML All 9 versions

[PDF] from aksw.org DBpedia and the live extraction of structured data from Wikipedia M Morsey, J Lehmann, S Auer… – … electronic library and …, 2012 – emeraldinsight.com … YAGO2: is an extension of the YAGO knowledge base (Suchanek et al., 2008). YAGO2 uses Wikipedia, Geonames, and WordNet as sources of data. The predecessor of YAGO2, ie YAGO just used Wikipedia as its main source of data. … Cited by 3 Related articles All 7 versions

[PDF] from mpg.de [PDF] Indexing Strategies for Constrained Shortest Paths over Large Social Networks P Klodt, G Weikum, S Bedathur, S Seufert – 2011 – halma.mpi-inf.mpg.de … 15 4.2.5 Issues on special graph types . . . . . 17 5 Experiments 19 5.1 RDF3X . . . . . 19 5.2 Yago2 database . . . . . 19 5.3 Jin’s algorithm . . . . . … Related articles View as HTML All 4 versions

Temporal Web Image Retrieval G Dias, J Moreno, A Jatowt, R Campos – String Processing and Information …, 2012 – Springer … eg Google, Yahoo!, Wikipedia) following the regular expression “query [1-2]+”, (eg “Olympic Games 2”), – Web snippet implicit temporal tagging as proposed in [6], – Web snippet knowledge-based temporal annotation using TAGME [7] for entity recognition and YAGO2 for … Related articles

[PDF] from epfl.ch [PDF] Path processing using Solid State Storage M Athanassoulis, B Bhattacharjee, M Canim, KA Ross – 2012 – infoscience.epfl.ch … 4.3 Experimental Workload We use the popular dataset Yago2 [9] to investigate the bene- fits of the proposed approach in an environment with dependent reads. Yago2 is a semantic knowledge base derived mainly from Wikipedia, WordNet and GeoNames. … Related articles View as HTML All 4 versions

[PDF] from videolectures.net Practical RDF schema reasoning with annotated semantic web data C Viegas Damásio, F Ferreira – The Semantic Web–ISWC 2011, 2011 – Springer … The second aspect of evaluation was the amount of time that each method took to compute the closure for each test, which we now detail. The tests were built from the data sets YAGO, YAGO2 and WordNet 2.0. … Test 2: Contains all rdfs:subClassOf data from YAGO2. … Cited by 1 Related articles All 5 versions

[PDF] from lth.se [PDF] Entity-based information retrieval A Salomonsson – 2012 – fileadmin.cs.lth.se … 9 2.3.1 YAGO2 . . . . . 9 … Another semantic net- work is YAGO2 (Hoffart et al., 2011a), which in some ways overlaps DBPedia since the information found in YAGO2 comes from Wikipedia5, Geonames6, and WordNet7. … Related articles View as HTML

[PDF] from archives-ouvertes.fr Performance of RDF Query Processing on the Intel SCC V Slavov, P Rao, D Barenkala… – Proceedings of the 6th …, 2012 – hal.archives-ouvertes.fr … A. Dataset and Queries We used two real datasets, namely, YAGO2 [34] and Uniprot [35]. YAGO2 is a semantic knowledge base de- rived from Wikipedia, WordNet, and Geonames. … The YAGO2 dataset was available in N-Triples format. … Related articles All 4 versions

[PDF] from rug.nl [PDF] Towards Distributed MCMC Inference in Probabilistic Knowledge Bases M Niepert, C Meilicke… – … Base Construction and …, 2012 – acl.eldoc.ub.rug.nl … 2010. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia. Research report, Max-Planck-Institut für Informatik. … 2011. Yago2: exploring and querying world knowledge in time, space, context, and many languages. … Related articles View as HTML All 6 versions

[PDF] from ugent.be [PDF] Georeferencing Wikipedia pages using language models from Flickr C De Rouck, O Van Laere, S Schockaert, B Dhoedt – 2011 – biblio.ugent.be … Such a strategy can be used to improve semantic knowledge bases, such as YAGO2 [3], which now contains over 10 million entities derived from Wikipedia, WordNet and GeoNames. Similarly, in [7], a gazetteer was con- structed based on geotagged Wikipedia pages. … Cited by 2 Related articles View as HTML All 10 versions

[PDF] from googlecode.com Temporal knowledge for timely intelligence G Weikum, S Bedathur, R Schenkel – Enabling Real-Time Business …, 2011 – Springer … knowledge base is of near-human-quality. A recently completed new edition, coined YAGO2, has integrated geo-spatial and temporal information and contains more than 200 million facts. DBpedia has even more facts (more … Cited by 5 Related articles All 3 versions

[PDF] from mpg.de Robust disambiguation of named entities in text J Hoffart, MA Yosef, I Bordino, H Fürstenau… – Proceedings of the …, 2011 – dl.acm.org … We use the Stan- ford NER tagger (Finkel05) to identify mentions in input texts, the YAGO2 knowledge base (Hoffart11) as a repository of entities, and the English Wikipe- dia edition (as of 2010-08-17) as a source of mining keyphrases and various forms of weights. … Cited by 28 Related articles All 16 versions

[PDF] from aclweb.org [PDF] NERD: A Framework for Unifying Named Entity Recognition and Disambiguation Extraction Tools G Rizzo, R Troncy – EACL 2012, 2012 – newdesign.aclweb.org … of real world objects. Moreover, these services classify such information using common ontologies (eg DBpedia ontology1 or YAGO2) exploiting the large amount of knowledge avail- able from the web of data. Tools such as … Cited by 3 Related articles View as HTML All 13 versions

A method for automatically extracting domain semantic networks from wikipedia C Xavier, V de Lima – Computational Processing of the Portuguese …, 2012 – Springer … types of ontologies generated. Yago2 [2], DBpedia3 [3] and Wikinet [4] are examples of projects that use Wikipedia as source for the production of data repositories in the form of ontological structures. Wikipedia categories are … Related articles All 3 versions

An incremental and user feedback-based ontology matching approach F Wagner, JAF Macedo, B Lóscio – Proceedings of the 13th International …, 2011 – dl.acm.org … An example is the identification of correspondences among multiple domain ontologies (for example, DBPedia1 and Yago2) where only some parts of them share a common conceptualization. Another example is in the bioinformatics field. … Related articles

WSDM 2009 conference review M Kröll – ACM SIGWEB Newsletter, 2009 – dl.acm.org … queries. Gerhard Weikum presented an ontology-based approach, a framework called YAGO2 that contains structured knowledge automatically extracted from web sites such as Wikipedia. Ravi Kumar’s talk on online social networks concluded the conference. … All 2 versions

On Designing the SONCA System L Nguyen, H Nguyen – Intelligent Tools for Building a Scientific Information …, 2012 – Springer … asymmetry). The main ontology of SONCA can be constructed from DBpedia, in particular, from the datasets “Articles Categories”, “Categories (Skos)”, “Links to YAGO2” and “Word Net Classes”. See the appendix for more details. … Cited by 3 Related articles All 2 versions

Toward Scalable Reasoning over Annotated RDF Data Using MapReduce C Liu, G Qi – Web Reasoning and Rule Systems, 2012 – Springer … References 1. Hoffart, J., Suchanek, FM, Berberich, K., Lewis-Kelham, E., de Melo, G., Weikum, G.: YAGO2: exploring and querying world knowledge in time, space, context, and many languages. In: Proc. of WWW 2011, pp. … Related articles

Large Scale Temporal RDFS Reasoning Using MapReduce C Liu, G Qi, Y Yu – Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012 – aaai.org … In Proc. of TKDE’ 07, 207 – 218. Hoffart, J.; Suchanek, FM; Berberich, K.; Lewis-Kelham, E.; de Melo, G.; and Weikum, G. 2011. Yago2: exploring and querying world knowledge in time, space, context, and many languages. In Proc. of WWW’ 11, 229–232. … Related articles All 2 versions

[PDF] from dtic.mil Delft university at the TREC 2009 Entity Track: Ranking wikipedia entities P Serdyukov, A De Vries – 2009 – DTIC Document … Wikipedia entities matching the given target class. Since, the sufficient amount of training data is not available, we utilize external resources for the filtering purposes, namely DBPedia1 and Yago2. 4.4.1 Using DBPedia DBPedia is … Cited by 9 Related articles Library Search All 6 versions

[PDF] from mpg.de [PDF] Context-Aware Timeline for Entity Exploration AT Tran, G Weikum, N Preda, S Elbassuoni… – 2011 – domino.mpi-inf.mpg.de … 15 3.2.3 YAGO2 . . . . . … 1In the newer version (YAGO2), the authors claimed to extract more than 10 million entities and 80 million facts 1The author claimed to have 9 million facts in the taxonomy, with precision ranging from 84% to 98% depending on relation names. … Related articles View as HTML All 5 versions

[PDF] from wwwconference.org Tracking entities in web archives: the LAWA project M Spaniol, G Weikum – Proceedings of the 21st international conference …, 2012 – dl.acm.org … [4] Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard de Melo, and Gerhard Weikum. Yago2: exploring and querying world knowledge in time, space, context, and many languages. In WWW (Companion Volume), pages 229–232, 2011. … Cited by 1 Related articles All 3 versions

Pneumoconiosis associated with an esophageal ulcer and uptake revealed in FDGPET T Shukuya, G Naka, A Kawana, H Sugiyama… – Internal Medicine, 2006 – J-STAGE … Pneumoconiosis Associated with an Esophageal Ulcer and Uptake Revealed in FDG-PET Takehito Shukuya1, Go Naka1, Akihiko Kawana1, Haruhito Sugiyama1, Nobuyuki Kobayashi1, Koichiro Kudo1, Yuzo Yago2, Yoshiro Tamegai2 and Kazuo Kubota3 Abstract … Cited by 2 Related articles All 4 versions

[PDF] from arxiv.org Semantic web applications with regard to math and environment N Kutz – arXiv preprint arXiv:1209.2097, 2012 – arxiv.org … linked to a ”meaning,” which is stored at (identified with) an URL. Another example is the yago2 ontology at the project Yago-Naga [Yag] ?. Moreover there are partial commercial projects or fully commercial projects, where … Related articles All 2 versions

Influence of Hypothyroidism Induced by Thiamazole on the Toxicity of Fluconazole in Chick Embryos Y YOSHIYAMA, K OTORI, K YAGO… – Journal of Oral Tissue …, 2006 – J-STAGE YOSHIYAMA Y et al., Influence of hypothyroidism on the toxicity of fluconazole ORIGINAL ARTICLE Influence of Hypothyroidism Induced by Thiamazole on the Toxicity of Fluconazole in Chick Embryos Yuji YOSHIYAMA1, Katsuya OTORI2, Kazuo YAGO2 and Motoko KANKE1 … Related articles All 3 versions

[PDF] from www2012.org BabelNetXplorer: a platform for multilingual lexical knowledge base access and exploration R Navigli, SP Ponzetto – … of the 21st international conference companion …, 2012 – dl.acm.org … MIT Press, Cambridge, Mass., 1998. [4] J. Hoffart, FM Suchanek, K. Berberich, E. Lewis-Kelham, G. de Melo, and G. Weikum. YAGO2: Exploring and querying world knowledge in time, space, context, and many languages. In Proc. of WWW-11, pages 229–232, 2011. … Cited by 2 Related articles All 4 versions

[PDF] from wwwconference.org Deep answers for naturally asked questions on the web of data M Yahya, K Berberich, S Elbassuoni… – Proceedings of the 21st …, 2012 – dl.acm.org … J. App. Logic, 5(1), 2007. [8] J. Hoffart, FM Suchanek, K. Berberich, E. Lewis-Kelham, G. de Melo, G. Weikum. YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and many Languages. WWW, 2011. [9] A. Kalyanpur, JW Murdock, J. Fan, CA Welty. … Cited by 3 Related articles All 9 versions

?????????????????????????? ????, ????, ???? – ??????????, 2010 – J-STAGE … ?????????????? ?39?(2010) -153- 1)Department of Ophthalmology, Fukushima Medical University 2)Northern Fukushima Medical Center Hiroko Tanji1),Keiko Yago2)and Tomohiro Iida1) Cooperative Participation … Related articles All 2 versions

Predominance of infiltrating IL-4-producing T cells in conjunctiva of patients with allergic conjunctival disease N Matsuura, E Uchio, M Nakazawa… – Current eye …, 2004 – informahealthcare.com … Predominance of infiltrating IL-4-producing T cells in conjunctiva of patients with allergic conjunctival disease Noriko Matsuura1,2, Eiichi Uchio1, Masatoshi Nakazawa2, Tadayuki Yago2,3, Satoru Matsumoto1,4, Shigeaki Ohno5 and Mutsuhiko Minami2 … Cited by 15 Related articles All 5 versions

[PDF] from aclweb.org [PDF] Probabilistic Databases of Universal Schema L Yao, S Riedel, A McCallum – Automatic Knowledge Base …, 2012 – newdesign.aclweb.org … Commun. ACM, 51 (12): 68–74. Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, and Gerhard Weikum. 2012. Yago2: A spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence. Dekang Lin and Patrick Pantel. 2001. … Related articles View as HTML All 6 versions

[PDF] from uoa.gr Data Models and Query Languages for Linked Geospatial Data M Koubarakis, M Karpathiotakis, K Kyzirakos… – … for Advanced Query …, 2012 – Springer … In addition, coverage of more complex geometrical information like polygons is also planned. Yago2 [32] is a large ontology, a new version of the original Yago ontology [74], where entities, facts, and events are augmented with relevant temporal and spatial information. … Cited by 4 Related articles All 8 versions

[PDF] from soton.ac.uk Webbox+ page blossom: exploring design for aktive data interaction D Smith, M Van Kleek – Proceedings of the 2012 ACM annual …, 2012 – dl.acm.org … http://www.ted.com/talks/ tim_berners_lee_on_the_next_web.html [3] J. Hoart, F. Suchanek, K. Berberich, E. Kelham, G. de Melo, G. Weikum, F. Suchanek, G. Kasneci, M. Ramanath, and A. Pease. Yago2: a spatially and temporally enhanced knowledge base from wikipedia. … Related articles All 2 versions

[PDF] from adamrae.com Mining the web for points of interest A Rae, V Murdock, A Popescu… – Proceedings of the 35th …, 2012 – dl.acm.org … The Yago2 ontology gives a concordance between Wikipedia articles and Geonames geographic entities [8]. We selected English language Wikipedia articles which have been identified with the Geonames “S” class, which corre- sponds most closely to the definition of POIs … Related articles All 2 versions

[PDF] from mpg.de Interactive reasoning in uncertain RDF knowledge bases T Meiser, M Dylla, M Theobald – Proceedings of the 20th ACM …, 2011 – dl.acm.org … WWW, 2004. [9] J. Hoffart, FM Suchanek, K. Berberich, E. Lewis-Kelham, G. de Melo, and G. Weikum. YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. WWW, 2011. [10] B. Kanagal and A. Deshpande. … Cited by 3 Related articles All 10 versions

[PDF] from wwwconference.org SWiPE: searching wikipedia by example M Atzori, C Zaniolo – Proceedings of the 21st international conference …, 2012 – dl.acm.org … viskqwl, a visual renderer for a semantic Web query language. In WWW ’10, pages 1253–1256. [8] J. Hoffart et al. Yago2: exploring and querying world knowledge in time, space, context, and many languages. In WWW (Companion Volume), pages 229–232. ACM, 2011. … Related articles All 4 versions

[PDF] from aclweb.org [PDF] KRAKEN: N-ary Facts in Open Information Extraction A Akbik, A Löser – Automatic Knowledge Base Construction and Web- …, 2012 – aclweb.org … 2011. Yago2: exploring and querying world knowledge in time, space, context, and many lan- guages. In Proceedings of the 20th international con- ference companion on World wide web, WWW’11, pages 229–232, New York, NY, USA. ACM. Xiao Ling and Daniel S. Weld. … Related articles View as HTML All 8 versions

[PDF] from uoa.gr [PDF] A data model and query language for an extension of RDF with time and space M Koubarakis, K Kyzirakos, B Nikolaou, M Sioutis… – Deliverable …, 2011 – strabon.di.uoa.gr … The contributions of this deliverable go beyond TELEIOS. Geospatial data are made available on the Web continously (eg, see the recent version of the ontology YAGO2 [HSBW10] that describes time and location for its entities). … Cited by 6 Related articles View as HTML All 4 versions

Provenance for Web 2.0 Data M Bienvenu, D Deutch, F Suchanek – Secure Data Management, 2012 – Springer … 4825, pp. 722–735. Springer, Heidelberg (2007) 22. Hoffart, J., Suchanek, FM, Berberich, K., Weikum, G.: Yago2: a spatially and temporally enhanced knowledge base from wikipedia. Artificial Intelligence Journal (2012) 23. McCarthy, J.: Generality in artificial intelligence. … Related articles

[PDF] from 133.67.7.152 A New Nonrecursive Pseudorandom Number Generator Based on Chaos Mappings I Kubo, H Yaguchi – 2007 – 133.67.7.152 … weobtainmanyrandom numbers?Theway – 7 7 – Page 3. 2 ?2;umi KuboandHirotakeYaguchi inwhichwevaryIin??4(1)isthefollowing?YagO2?:for?k? N-(1,2,-), setxk- 1?0+? if(a+sk)>rk,- 1?0+? ? if(a+sk)? rk, where(rk,Sk)= (rkmodp … Related articles All 3 versions

[PDF] from hp.com [PDF] Harmonious colors: from alchemy to science GB Beretta, NM Moroney – Society of Photo-Optical Instrumentation …, 2012 – hpl.hp.com … From Canon’s Color Advisor24 we know that we can successfully classify color palettes by event or by sentiment. Thus the first thought would be to use a semantic knowledge base like Yago2 or Freebase to periodically create a graph 5 Page 7. database related to color. … Cited by 1 Related articles View as HTML All 6 versions

[PDF] from vldb.org [PDF] From sparql to mapreduce: The journey using a nested triplegroup algebra HS Kim, P Ravindra, K Anyanwu – Proceedings of the VLDB Endowment, 2011 – vldb.org … OSDI, pages 107–113, 2004. [4] J. Hoffart, F. Suchanek, K. Berberich, E. Kelham, G. de Melo, G. Weikum, F. Suchanek, G. Kasneci, M. Ramanath, and A. Pease. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia. Commun. … Cited by 7 Related articles View as HTML All 4 versions

Collaboratively built semi-structured content and Artificial Intelligence: The story so far E Hovy, R Navigli, SP Ponzetto – Artificial Intelligence, 2012 – Elsevier … Exploiting semi-structured content to build ontologized resources is a well-explored line of research, and is taken a step further by the two papers on YAGO2 [73] and WikiNet [130] included in this special issue, as well as by recent work on BabelNet [139], among others. …

[PDF] from unitn.it Living Knowledge F Giunchiglia, V Maltese, A Baldry, B Dutta – 2012 – eprints.biblio.unitn.it … 20. L. Von Ahn. Games With A Purpose, IEEE Computer Magazine (2006), 96-98. 21. J. Hoffart, FM Suchanek, K. Berberich, E. Lewis-Kelham, G. de Melo, and G. Weikum, YAGO2: exploring and querying world knowledge in time, space, context, and many languages. … Related articles

[PDF] from mpg.de [PDF] A Distributed In-Memory SPARQL Query Processor based on Message Passing AK Dutta, M Theobald, R Schenkel – 2012 – domino.mpi-inf.mpg.de … had an estimated 32 billion triples2. Similarly the Linked Movie Database3 consists of over 6 million triple patterns in its knowledge base. Even YAGO2 [HSBW10], another knowledge base derived from Wikipedia, WordNet and GeoNames, have over 120 million facts. … Related articles View as HTML All 2 versions

Automatic construction of a domain-independent knowledge base from heterogeneous data sources M Maree, SM Alhashmi, M Belkhatir… – Fuzzy Systems and …, 2012 – ieeexplore.ieee.org … of the 16th International World Wide Web (WWW) conference. pp. 697–706, (2007) [9] Hoffart, J., Suchanek, MF, Berberich, K., Kelham, EL, de Melo, G., and Weikum., G.: YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. In Proc. … Related articles

Ontology based segmentation of geo-referenced queries M Abu Helou – Current Trends in Web Engineering, 2012 – Springer … query refine- ment. In: ACM SIGIR Conference on R&D in IR, pp. 379–386 (2008) 5. Hoffart, J., et al.: YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. In: WWW 2011, Hyderabad … Related articles All 2 versions

[PDF] from mpg.de [PDF] Efficient Entity Disambiguation via Similarity Hashing DB Nguyen, M Theobald, G Weikum – 2012 – domino.mpi-inf.mpg.de Page 1. Universität des Saarlandes Max-Planck-Institut für Informatik AG5 U N IVERSIT A S S A R AVIEN S IS Efficient Entity Disambiguation via Similarity Hashing Masterarbeit im Fach Informatik Master’s Thesis in Computer Science von / by Dat Ba Nguyen … Related articles View as HTML All 2 versions

[PDF] from microsoft.com [PDF] Big Data Methods for Computational Linguistics G Weikum, J Hoffart, N Nakashole, M Spaniol… – 2012 – research.microsoft.com … Hagen Fürstenau, Manfred Pinkal, Marc Spaniol, Bilyana Taneva, Stefan Thater, Gerhard Weikum: Robust Disambiguation of Named Entities in Text, EMNLP 2011: 782-792 [20] Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum: YAGO2: A Spatially and … View as HTML

Summary generation centered on important words D Han, T Noguchi, T Yago, M Harada – Information Retrieval Technology, 2005 – Springer Page 1. SH Myaeng et al. (Eds.): AIRS 2004, LNCS 3411, pp. 48–60, 2005. © Springer-Verlag Berlin Heidelberg 2005 Summary Generation Centered on Important Words Dongli Han1, Takashi Noguchi2, Tomokazu Yago2, and Minoru Harada1 … Related articles All 3 versions

[PDF] from ceur-ws.org [PDF] Thematic Exploration of Linked Data S Castano, A Ferrara, S Montanelli – Proc. of the 1st VLDB Int. …, 2011 – ceur-ws.org Page 1. Thematic Exploration of Linked Data Silvana Castano Universit`a degli Studi di Milano DICo – Via Comelico, 39 – 20135 Milano, Italy silvana.castano@unimi. it Alfio Ferrara Universit`a degli Studi di Milano DICo – Via … Cited by 4 Related articles View as HTML All 2 versions

An Eigenvalue-Based Measure for Word-Sense Disambiguation I Hulpus, C Hayes, M Karnstedt, D Greene – Twenty-Fifth International …, 2012 – aaai.org Page 1. An Eigenvalue-Based Measure for Word-Sense Disambiguation Ioana Hulpus, Conor Hayes and Marcel Karnstedt Digital Enterprise Research Institute National University of Ireland, Galway, Ireland {ioana.hulpus, conor.hayes, marcel.karnstedt}@deri.org … Related articles All 2 versions

Clouding services for linked data exploration S Castano, A Ferrara, S Montanelli – Advanced Information Systems …, 2012 – Springer Page 1. Clouding Services for Linked Data Exploration Silvana Castano, Alfio Ferrara, and Stefano Montanelli Universit`a degli Studi di Milano, DICo – Via Comelico, 39 – 20135 Milano {silvana.castano,alfio.ferrara,stefano.montanelli}@unimi.it Abstract. … Related articles All 3 versions

[PDF] from bris.ac.uk Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction S Verma, E Hruschka – Machine Learning and Knowledge Discovery in …, 2012 – Springer Page 1. Coupled Bayesian Sets Algorithm for Semi-supervised Learning and Information Extraction Saurabh Verma1 and Estevam R. Hruschka Jr.2 1 Institute of Technology Banaras Hindu University Varanasi-India saurabh … Related articles All 2 versions

[PDF] from unifr.ch [PDF] BowlognaBench—Benchmarking RDF Analytics G Demartini, I Enchev, J Gapany… – … Symposium on Data- …, 2011 – diuf.unifr.ch … 2005. 10. Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard de Melo, and Gerhard Weikum. YAGO2: exploring and querying world knowledge in time, space, context, and many languages. In … Cited by 1 Related articles View as HTML All 3 versions

[PDF] from unitn.it DERA: A faceted knowledge organization framework F Giunchiglia, B Dutta – 2011 – eprints.biblio.unitn.it Page 1. DISI – Via Sommarive 14 – 38123 Povo – Trento (Italy) http://www.disi.unitn.it DERA: A FACETED KNOWLEDGE ORGANIZATION FRAMEWORK Fausto Giunchiglia, Biswanath Dutta March 2011 Technical Report # DISI-11-457 … Cited by 3 Related articles

[DOC] from googlecode.com Connecting Closed World Research Information Systems through the Linked Open Data Web B JOERG, I RUIZ-RUBE, MA SICILIA… – … Journal of Software …, 2012 – World Scientific Page 1. CONNECTING CLOSED WORLD RESEARCH INFORMATION SYSTEMS THROUGH THE LINKED OPEN DATA WEB BRIGITTE JOERG German Research Center for ArtiZcial Intelligence (DFKI GmbH) Alt Moabit 91c, 10559 Berlin, Germany brigitte.joerg@dfki.de … Related articles All 4 versions

Finding information nebula over large networks L Chang, JX Yu, L Qin, Y Zhu, H Wang – Proceedings of the 20th ACM …, 2011 – dl.acm.org Page 1. Finding Information Nebula over Large Networks Lijun Chang, Jeffrey Xu Yu, Lu Qin, Yuanyuan Zhu The Chinese University of Hong Kong Hong Kong, China {ljchang,yu,lqin,yyzhu}@se.cuhk.edu.hk Haixun Wang Microsoft … Related articles All 4 versions

[PDF] from uni-saarland.de Effective searching of RDF knowledge bases S Elbassuoni – 2012 – scidok.sulb.uni-saarland.de Page 1. Effective Searching of RDF Knowledge Bases Dissertation zur Erlangung des Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) der Naturwissenschaftlich-Technischen Fakultät I der Universität des Saarlandes Shady Elbassuoni Max-Planck-Institut f ¨ur Informatik … Related articles All 9 versions

[PDF] from mpg.de YAGO-QA: Answering Questions by Structured Knowledge Queries P Adolphs, M Theobald, U Schafer… – … (ICSC), 2011 Fifth …, 2011 – ieeexplore.ieee.org … AAAI’07, 2007, pp. 1440–1445. [13] J. Hoffart, FM Suchanek, K. Berberich, E. Lewis-Kelham, G. de Melo, and G. Weikum, “YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages,” in Proc. of WWW 2011, Hyderabad, India, 2011. … Related articles All 10 versions

[PDF] from uniroma1.it BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network R Navigli, SP Ponzetto – Artificial Intelligence, 2012 – Elsevier We present an automatic approach to the construction of BabelNet, a very large, wide-coverage multilingual semantic network. Key to our approach is the integrat. Cited by 1 Related articles All 4 versions

[PDF] from aau.dk [PDF] An Annotated Bibliography on Temporal and Evolution Aspects in the Se F Grandi – History, 2003 – timecenter.cs.aau.dk … [10] Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard de Melo, and Gerhard Weikum. YAGO2: exploring and querying world knowledge in time, space, context, and many languages. In Proc. of Intl’ Conf. … Cited by 1 Related articles View as HTML All 8 versions

[PDF] from josedevezas.com [PDF] Creating News Context From a Folksonomy of Web Clipping J Devezas, H Alves, A Figueira – Proc. International Conference …, 2012 – josedevezas.com Page 1. Creating News Context From a Folksonomy of Web Clipping José Devezas, Henrique Alves, and ´Alvaro Figueira Abstract—We propose a method for creating news context by taking advantage of a folksonomy of web clipping based on on- line news. … Cited by 1 Related articles View as HTML All 2 versions

[HTML] from revues.org [HTML] Sciences des données: de la logique du premier ordre à la Toile. Leçon inaugurale prononcée le jeudi 8 mars 2012. Chaire d’Informatique et sciences … S Abiteboul – Les leçons inaugurales du Collège de France, 2012 – lecons-cdf.revues.org Monsieur l’Administrateur,Mes chers collègues,Chers amis,En cette journée internationale de la femme, j’aimerais dédier ma leçon inaugurale à l’étudiante en informatique, à l’étudiante en mathématiques ou en sciences qui est si rare sur nos campus. Elle est assise au premier … Related articles Cached

[PDF] from search-computing.net [PDF] On Principles of Egocentric Person Search in Social Networks S Cohen, BKGKJ Vondrák – 2011 – blog.search-computing.net Page 1. http://vlds2011.search-computing.net/ With keynotes by Hector Garcia-Molina and Alon Halevy. Workshop Chairs: Marco Brambilla, Fabio Casati, Stefano Ceri. The First International Workshop on Searching and Integrating … Related articles View as HTML All 3 versions

[PDF] from mpg.de [PDF] Maximum Cardinality Popular Matchings in Strict Two-sided Preference Lists T Kavitha, CC Huang – 2010 – domino.mpi-inf.mpg.de Page 1. Maximum Cardinality Popular Matchings in Strict Two-sided Preference Lists Telikepalli Kavitha and Chien-Chung Huang December 4, 2010 Page 2. MPI–I–2010–1-001 December 2010 Page 3. Authors’ Addresses Telikepalli … Related articles View as HTML All 2 versions

[HTML] from inria.fr [CITATION] Sciences des données: de la logique du premier ordre à la Toile S Abiteboul – 2012 – Fayard All 5 versions

[PDF] from mpg.de [PDF] Authors’ Addresses Christoph Weidenbach Max-Planck-Institut für Informatik Campus E 1 4 D-66123 Saarbrücken S Merz, T Lu – 2011 – domino.mpi-inf.mpg.de Page 1. Towards Verification of the Pastry Protocol using TLA+ Tianxiang Lu Stephan Merz Christoph Weidenbach MPI–I–2011–MPI-I-2011-RG1-002 June 2011 Page 2. Authors’ Addresses Christoph Weidenbach Max-Planck-Institut für Informatik Campus E 1 4 … Related articles View as HTML All 2 versions

Tortious Beginnings of Contributory Copyright Infringement: The Concerted Action Key to Grokster, The DR Rydarowski – Seton Hall Legis. J., 2006 – HeinOnline Content-Length: 2346792 Content-Disposition: attachment; filename=31_Seton_Hall_Legis._J. _215.pdf %PDF-1.1 % 0 1 2 3 1 0 obj << /Type /Font /Name /R1 /Subtype /Type1 /BaseFont /Courier >> endobj 2 0 obj << /Type /XObject /Subtype /Image /Name /Im1 /Filter … Cited by 1 Related articles BL Direct All 3 versions