EntityCube


entitycube.com {related:}

Notes:

  • large-scale KBC (knowledge-base construction) system

Wikipedia:

See also:

DeepDive | GATE & Dialog Systems | TrueKnowledge | YAGO-QAYAGO2


From information to knowledge: harvesting entities and relationships from web sources G Weikum, M Theobald – Proceedings of the twenty-ninth ACM SIGMOD …, 2010 – dl.acm.org … of knowledge-sharing communities such as Wikipedia and the progress in automatically extracting entities and relationships from semistructured as well as natural-language Web sources. Recent endeavors of this kind include DBpedia, EntityCube, KnowItAll, ReadTheWeb … Cited by 73 Related articles All 6 versions

Mining name translations from entity graph mapping G You, S Hwang, YI Song, L Jiang, Z Nie – … Methods in Natural Language …, 2010 – dl.acm.org Page 1. Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 430–439, MIT, Massachusetts, USA, 9-11 October 2010. cO2010 Association for Computational Linguistics … Such engine 1http://people.entitycube.com 430 Page 2. … Cited by 17 Related articles All 8 versions

Web-scale entity search and interactive knowledge mining Z Nie – Proceedings of the Ninth International Workshop on …, 2012 – tcci.ccf.org.cn … Structured HTML elements within a knowledge block Natural language text within a knowledge block Page 6. Deployed Entity Search Engines … Interactive Wiki Editing – 20-Questions Game • EntityCube (2009) – People-Centric Entity Graph from 3B English Webpages Page 7. … All 2 versions

Linked Data on the Web in order to Improve Recommendation ? DEMOVI? – wiki.fiit.stuba.sk … data in the form of facts about entities from selected domains from which knowledge bases arose, such as DBpedia, EntityCube, ReadTheWeb, YAGO … Commonly used methods are based on rules and patterns, natural language processing and statistical machine learning. … Related articles All 2 versions

StatSnowball: a statistical approach to extracting entity relationships J Zhu, Z Nie, X Liu, B Zhang, JR Wen – Proceedings of the 18th …, 2009 – dl.acm.org … Evaluating patterns and tuples is one key component, since 2www.entitycube.com … Open IE is a novel domain-independent extraction paradigm, which has been studied in both the natural language document corpus [22] and the Web environment [3]. Although the ex- isting … Cited by 184 Related articles All 14 versions

Knowledge harvesting in the big-data era F Suchanek, G Weikum – … of the 2013 international conference on …, 2013 – dl.acm.org … 8]. Commercial inter- est has been strongly growing, with evidence by projects like the Google Knowledge Graph, the EntityCube/Renlifang project … categories, tables, lists), but many projects also tap into extracting knowledge from arbitrary Web pages and natural-language texts … Cited by 9 Related articles All 3 versions

Knowledge harvesting from text and Web sources F Suchanek, G Weikum – Data Engineering (ICDE), 2013 IEEE …, 2013 – ieeexplore.ieee.org … Such world knowledge in turn enables cognitive applications and knowledge-centric services like disambiguating natural-language text, deep question … has been strongly growing, with evidence by projects like the Google Knowledge Graph, the EntityCube (Renlifang) project at … Cited by 3 Related articles All 8 versions

Knowledge Bases in the Age of Big Data Analytics FM Suchanek, G Weikum – Proceedings of the VLDB Endowment, 2014 – vldb.org … briefly dis- cuss industrial projects like the Google Knowledge Graph and related work at Google [9, 13, 25], the EntityCube and Probase … on a pre-specified set of relations and en- tities, open information extraction harvests arbitrary SPO triples from natural language documents. …

Combining the Best of Two Worlds: NLP and IR for Intranet Search S Adindla, U Kruschwitz – Proceedings of the 2011 IEEE/WIC/ACM …, 2011 – dl.acm.org … The first question answering systems were only natural language interfaces to structured databases [12]. … 2http://entitycube.research.microsoft.com/index.aspx 3http://www. googlewonderwheel.com/ 4http://gate.ac.uk/ 484 Page 3. toolkit. … Cited by 1 Related articles All 7 versions

Introduction to Information Extraction: Basic Notions and Current Trends WT Balke – Datenbank-Spektrum, 2012 – Springer … Please note that most of the extraction techniques described are based on thorough natural language processing (NLP) of the documents or … A good example for the focused extraction of entity characteristics is Microsoft’s EntityCube [25, 26] which automatically summarizes in … Cited by 3 Related articles All 4 versions

Semantic Knowledge Bases from Web Sources F Suchanek, M Theobald, G Weikum… – Tutorial at IJCAI …, 2011 – hal.archives-ouvertes.fr … Recent endeav- ors of this kind include academic research projects such as DBpedia, EntityCube, KnowItAll, ReadTheWeb, and YAGO … He is teaching classes on the Semantic Web, Natural Language Processing and Information Extraction at the ´Ecole nationale supérieure des … All 9 versions

Find your advisor: robust knowledge gathering from the web N Nakashole, M Theobald, G Weikum – Procceedings of the 13th …, 2010 – dl.acm.org … also commercial endeavors like freebase.com, trueknowledge.com, wolframalpha.com, www.google.com/squared, or entitycube.research.microsoft … entities and relati- onships embedded in semistructured Web pages such as Wikipedia infoboxes or natural-language texts such … Cited by 13 Related articles All 7 versions

A hybrid method for detecting outdated information in Wikipedia infoboxes T Tran, TH Cao – … , Research, Innovation, and Vision for the …, 2013 – ieeexplore.ieee.org … EntityCube3 is an entity search engine developed by Microsoft that extracts entities and relationships from semi-structured as well as natural language Web sources. With the pattern-based approach, Etzioni et al. … 3 http://entitycube.research.microsoft.com/ … Related articles

Interactive reasoning in uncertain RDF knowledge bases T Meiser, M Dylla, M Theobald – Proceedings of the 20th ACM …, 2011 – dl.acm.org … 7] and YAGO [9, 19]) as well as commercial endeavors (including FreeBase.com, TrueKnowledge.com, Sig.ma, EntityCube, Wolfram Alpha, or … ranging from extracting contents of highly structured infoboxes [8] to free-text information extraction and natural language … Cited by 9 Related articles All 13 versions

Finding celebrities in billions of web images X Zhang, L Zhang, XJ Wang… – … , IEEE Transactions on, 2012 – ieeexplore.ieee.org … on the web might be more effectively analyzed by a name vocabulary based approach than methods relying on natural language cues, eg named entity recognition. … Besides Wikipedia, we also use Entitycube [27] to construct the vocabulary, which automatically … Cited by 12 Related articles All 8 versions

NMiner: A System for Finding Related Entities by Mining a Bimodal Network VS Martha, S Wallace, H Bisgin, X Xu… – Information Retrieval …, 2012 – Springer … Ontologies such as DBpedia, EntityCube, KnowItAll, ReadTheWeb, and YAGO-NAGA have become integral to these efforts by pro- viding comprehensive repositories concerning entities [26]. … Ma- chine learning based Natural Language Processing (NLP) tools have long been … Related articles All 3 versions

Statistical entity extraction from the web Z Nie, JR Wen, WY Ma – Proceedings of the IEEE, 2012 – ieeexplore.ieee.org … web applications, Microsoft Academic Search (aka Libra) and EntityCube, as working examples. KEYWORDS | Crowdsourcing; entity extraction; entity relation- ship mining; entity search; interactive knowledge mining; named entity extraction; natural language processing; web … Cited by 4 Related articles All 13 versions

Bayesian knowledge corroboration with logical rules and user feedback G Kasneci, J Van Gael, R Herbrich… – Machine Learning and …, 2010 – Springer … After the extraction, integration processes are responsible for organizing and storing the triples into the KB. The mentioned processes build on uncertain techniques such as natural language processing, pattern matching, statistical learning, etc. … Cited by 14 Related articles All 16 versions

DeepDive: Web-scale Knowledge-base Construction using Statistical Learning and Inference. F Niu, C Zhang, C Ré, JW Shavlik – VLDS, 2012 – www-cs.stanford.edu … Similar to YAGO [7,9] and EntityCube [16], DeepDive is based on the classic Entity-Relationship (ER) model [1] and employs … However, DeepDive goes deeper in two ways: (1) Unlike prior large-scale KBC systems, DeepDive performs deep natural language processing (NLP … Cited by 16 Related articles All 13 versions

PopulusLog: People information database A Cakmak, M Kirac, G Ozsoyoglu – Computer and Information …, 2009 – ieeexplore.ieee.org … VLDB ’07. [15] EntityCube at Microsoft Research, homepage available at, http://research.microsoft.com/en-us/projects/entitycube [16] Correlator at Yahoo! Research … ACL’02. [26] OpneNLP natural language processing tools. Project … Related articles All 4 versions

International Journal of Engineering & Science Research EOFSEF WEB – 2013 – ijesr.org … We will use two novel web applications, Microsoft Academic Search (aka Libra) and EntityCube, as working examples. … This is because the text content on web pages is often not as regular as those in natural language documents and many of them are less Page 4. … Related articles All 2 versions

BioSnowball: automated population of Wikis X Liu, Z Nie, N Yu, JR Wen – Proceedings of the 16th ACM SIGKDD …, 2010 – dl.acm.org … EntityCube detects the pop- ularity of an entity and enables users to browse entities in different categories ranked by their prominence on the Web during a given time period. … The biography can be considered as a set of integrated facts using natural language texts. … Cited by 13 Related articles All 13 versions

Harvesting Knowledge from Web Data and Text H Lauw, R Schenkel, F Suchanek, M Theobald… – CIKM, 2010 – hal.archives-ouvertes.fr … are not yet necessarily dis- ambiguated , and relations are not canonicalized: all verbal phrases found in natural language sentences may … crafted databases, Google Squared which arranges search results in a tabular form with entities and attributes, EntityCube which provides … Cited by 2 Related articles All 10 versions

Analogy Queries in Information Systems—A New Challenge C Lofi – Journal of Information & Knowledge Management, 2013 – World Scientific … In contrast, Question Answering directly aims at answering questions given in natural language. Functional question answering systems could therefore prove to be a very potent tool for natural and human-centric interaction with future web and information systems. … Related articles All 5 versions

Web ??????????????????? D Bollegala – cgi.csc.liv.ac.uk … 4 http://www.milresh.com/ ?5 http://entitycube.research.microsoft.com/ 4. Future Research Directions Despite the numerous potential applications of relation extraction and the research work conducted in the natural language processing field, there are many unsolved issues … Related articles All 3 versions

Exploratory Professional Search through Semantic Post-Analysis of Search Results P Fafalios, Y Tzitzikas – Professional Search in the Modern World, 2014 – Springer … 3 http://entitycube.research.microsoft.com/ Page 5. 170 P. Fafalios and Y. Tzitzikas … AlchemyAPI: AlchemyAPI [1] is a Natural Language Processing (NLP) service which provides cloud-based and on-premise text analysis infrastructure. …

State of the art in IE, overview, comparison and analysis S Dumitrescu – 2010 – phd.cs.pub.ro … 3 Approved W3C Recommendation on 27 Oct 2009, http://www.w3.org/TR/owl2-overview/ 4 http://entitycube.research.microsoft.com … not exclusively located in the Information Extraction sub-domain, but are used in larger domains such as NLP (Natural Language Processing), IR … Related articles All 2 versions

Methods and tools for temporal knowledge harvesting Y Wang – 2013 – scidok.sulb.uni-saarland.de … structured and unstructured. Semi-structured and structured text are easier to be handled by regular expressions. However, the irregularities and ambiguities of unstructured text, typically free natural language text, is difficult to define rules. Reconciliation of Facts. … Related articles All 2 versions

YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia J Hoffart, FM Suchanek, K Berberich, G Weikum – Artificial Intelligence, 2013 – Elsevier … Leonard Cohen wrote after Suzanne†. Another, perhaps less obvious application is the ability spatially and temporally locate practically any entity that occurs in a natural language discourse. Simple examples are ntences … Cited by 259 Related articles All 18 versions

Feature Engineering for Knowledge Base Construction C Zhang, C Ré, AA Sadeghian, Z Shan, J Shin… – arXiv preprint arXiv: …, 2014 – arxiv.org … Page 4. (a) Natural Language Text (b) Table (c) Document Layout (d) Image … … [29] used Markov logic networks (MLN) [8] for information extraction. Microsoft’s StatisticalSnowBall/EntityCube [42] also uses an MLN-based approach. A key challenge in these systems is scalability. …

Text Mining for Building a Biomedical Knowledge Base on Diseases, Risk Factors, and Symptoms M Ye – 2011 – halma.mpi-inf.mpg.de … Also the KnowItAll [24] project and its local siblings, eg, TextRunner [5, 89], aim at extracting arbitrary relations from natural language texts, and the ReadTheWeb [16, 15] project … One representative is EntityCube [21] that provides dynamically gathered facts about named entities … Related articles All 4 versions

Towards User Intent Based Searching H Yu, T Mine, M Amamiya – Trust, Security and Privacy in …, 2011 – ieeexplore.ieee.org … these data. New type of search engines such as EntityCube [6] have also emerged. These … the user. Different kinds of user searching interface such as natural language, template-style or formal equation can be considered. However … Cited by 1 Related articles All 4 versions

SocialSearch: enhancing entity search with social network matching G You, S Hwang, Z Nie, JR Wen – Proceedings of the 14th International …, 2011 – dl.acm.org … As such an example, we leverage an entity-relationship graph built upon co-occurrences in the Web corpus, obtained from object- level search engine Microsoft EntityCube [1, 13]. … In this figure, given a query EntityCube Twitter John Mccain JohnMccain Bill Gates Bill Clinton … Cited by 10 Related articles All 7 versions

Harvesting facts from textual web sources by constrained label propagation Y Wang, B Yang, L Qu, M Spaniol… – Proceedings of the 20th …, 2011 – dl.acm.org … com and trueknowledge.com, the com- putational knowledge engine wolframalpha.com, the entity search engine entitycube.research.microsoft.com … In order to avoid getting misguided by problems induced from natural language processing, we convert each surface string into a … Cited by 23 Related articles All 7 versions

A machine-compiled macroevolutionary history of Phanerozoic life SE Peters, C Zhang, M Livny, C Ré – arXiv preprint arXiv:1406.2963, 2014 – arxiv.org … Instead, machines have difficulty with all aspects of document reading, from optical character recognition (OCR) and natural language understanding tasks, to the more complex subtleties involving domain-specific representations of facts. … Cited by 1

Efficient entity translation mining: A parallelized graph alignment approach GW You, SW Hwang, YI Song, L Jiang… – ACM Transactions on …, 2012 – dl.acm.org … In particular, we extract monolingual cooccurrences of entities from English and Chinese Web corpora, which are readily available from entity search engines such as PeopleEntityCube [EntityCube 2010] deployed by Microsoft Research Asia. … Cited by 3 Related articles All 2 versions

Feature Engineering for Knowledge Base Construction C Ré, AA Sadeghian, Z Shan, J Shin… – arXiv preprint arXiv: …, 2014 – 131.107.65.22 … Page 4. (a) Natural Language Text (b) Table (c) Document Layout (d) Image … … [29] used Markov logic networks (MLN) [8] for information extraction. Microsoft’s StatisticalSnowBall/EntityCube [42] also uses an MLN-based approach. A key challenge in these systems is scalability. …

Authors’ Addresses Johannes Hoffart, Klaus Berberich, Gerhard Weikum Max-Planck-Institut für Informatik Campus E 1 4 D-66123 Saarbrücken FM Suchanek – domino.mpi-inf.mpg.de Page 1. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia Johannes Hoffart, Fabian M. Suchanek, Klaus Berberich, Gerhard Weikum MPI–I–2010–5-007 November 2010 Page 2. Authors’ Addresses … Related articles All 10 versions

Web searching with entity mining at query time P Fafalios, I Kitsos, Y Marketakis, C Baldassarre… – Multidisciplinary …, 2012 – Springer … order to provide their results instantly. EntityCube2 is an entity search engine by Mircosoft which extracts entities and relationships from semistructured as well as natural-language Web sources. The goal is to automatically construct … Cited by 14 Related articles All 11 versions

Semantic search-systems, concepts, methods and the communities behind it T Tran, P Mika – sites.google.com … 4.2 NL Search Complete natural language questions and statements are a natural paradigm for users to express themselves fully in their … Microsoft’s EntityCube 13 for instance, returns entities upon users’ keyword search requests along with relations of these entity results as … Cited by 2 Related articles

Hybrid entity clustering using crowds and data J Lee, H Cho, JW Park, Y Cha, S Hwang, Z Nie… – The VLDB Journal— …, 2013 – dl.acm.org … As an example, Fig. 1 depicts the screenshot of our implementation “Product EntityCube” [28], which is built on Live Product Search. … For brevity, in the rest of this paper, assume that the term “entity” refers to “named entity” used in natural language processing if context is clear. … Cited by 1 Related articles All 4 versions

Extracting Knowledge for Cultural Heritage Knowledge Base Population N Takhirov – 2013 – diva-portal.org … Therefore, an inherent part of this work is dedicated to developing pattern-based techniques to extract knowledge from natural language documents to complement and supplement the knowledge we extract from metadata. … Related articles All 3 versions

Scaling Inference for Markov Logic with a Task-Decomposition Approach F Niu, C Zhang, C Ré, J Shavlik – arXiv preprint arXiv:1108.0294, 2011 – arxiv.org … tremendous interest from academia [48], eg, CMU’s NELL [8], MPI’s YAGO [21,29], and from industry, eg, Microsoft’s EntityCube [52], and … inconsistency due to both conflicting information in the underlying sources and the difficulty for machines to understand natural language text … Related articles All 2 versions

E-Discovering Fake Identities On Twitter G Lovink – dare.uva.nl Page 1. E-DISCOVERING FAKE IDENTITIES ON TWITTER Master Thesis New Media Academic year 2011-2012 22 June 2012 Annet Bos Media Studies, MA New Media Student ID: 5878039 Universiteit van Amsterdam Annet.bos@student.uva.nl Faculty of Humanities …

Mining Knowledge on Relationships between Objects from the Web X Zhang, Y Asano, M Yoshikawa – IEICE TRANSACTIONS on …, 2014 – search.ieice.org Page 1. IEICE TRANS. INF. & SYST., VOL.E97–D, NO.1 JANUARY 2014 77 PAPER Mining Knowledge on Relationships between Objects from the Web ? Xinpeng ZHANG †a) , Nonmember, Yasuhito ASANO † , and Masatoshi YOSHIKAWA † , Members … Related articles All 3 versions

Effective searching of RDF knowledge bases S Elbassuoni – 2012 – scidok.sulb.uni-saarland.de … and the recent success in automatically extracting structured-information from semi-structured as well as natural-language Web sources have resulted in a strong … and EntityCube3, as well as in domain-specific Web portals such as news, stocks, … Cited by 1 Related articles All 14 versions

NewsMiner: Multifaceted news analysis for event search L Hou, J Li, Z Wang, J Tang, P Zhang, R Yang… – Knowledge-Based …, 2014 – Elsevier … Another related and well-known system is the Microsoft EntityCube 3 . However, knowledge graph aims at general search and EntityCube pays more attention on the relationship between entities while both of them cast little glances at news content. …

A Survey of Semantic Search Approaches T Tran, P Mika – dtr-papers.googlecode.com … Solutions that are widely used especially on the Web are based on keyword search, and in smaller-scale scenarios, also support natural language (NL) inputs. … 14. http://entitycube. research.microsoft.com/ 15. http://www.freebase.com/labs/parallax/ 16. … Related articles All 2 versions

From text to knowledge: bridging the gap with probabilistic graphical models. M Bundschus – 2010 – edoc.ub.uni-muenchen.de Page 1. From Text to Knowledge: Bridging the Gap with Probabilistic Graphical Models Markus Bundschus München 2010 Page 2. Page 3. From Text to Knowledge: Bridging the Gap with Probabilistic Graphical Models Markus Bundschus Dissertation … Related articles All 4 versions

From Text to Knowledge M Bundschus – 2010 – edoc.ub.uni-muenchen.de Page 1. From Text to Knowledge: Bridging the Gap with Probabilistic Graphical Models Markus Bundschus München 2010 Page 2. Page 3. From Text to Knowledge: Bridging the Gap with Probabilistic Graphical Models Markus Bundschus Dissertation … Related articles

Web-Scale Multimedia Processing and Applications E Chang, SF Chang, TS HUANG, M SLANEY – 2012 – ee.columbia.edu … tion integration, together with two working examples of web applica- tions: Microsoft Academic Search (aka Libra) and EntityCube. … His research interests have led him to pursue and combine several different areas: manYmachine communication, natural language proces- sing … Cited by 1 Related articles All 3 versions

Data Engineering E Gribkoff, D Suciu, G Van den Broeck, C Ré… – 131.107.65.22 Page 1. Bulletin of the Technical Committee on Data Engineering September 2014 Vol. 37 No. 3 IEEE Computer Society Letters Letter from the Editor-in-Chief . . . . . David Lomet 1 …

Matching User Accounts Across Online Social Networks: Methods and Applications O Goga – 2014 – www-npa.lip6.fr Page 1. THÈSE en vue d’obtenir le grade de DOCTEUR DE L’UNIVERSITÉ PIERRE ET MARIE CURIE – PARIS 6 (UPMC) spécialité : informatique Laboratoire d’Informatique de Paris 6 École Doctorale Informatique, Télécommunications et Électronique …

Entity-based Summarization of Web Search Results using MapReduce I Kitsos – 139.91.152.92 … order to provide their results instantly. EntityCube [25] is an entity search engine by Mircosoft which extracts entities and relationships from semi-structured as well as natural-language Web sources. The goal is to automatically … Related articles All 6 versions

Mining and explaining relationships in Wikipedia X Zhang, Y Asano, M Yoshikawa – IEICE TRANSACTIONS on …, 2012 – search.ieice.org … 4.4 on the information network. EntityCube [19] and SPYSEE [20] extract explicit rela- tionships between pairs of people from the Web. … Both EntityCube and SPYSEE do not explain an implicit relationship between two people. 4. Methods for Mining Disjoint Paths in Wikipedia … Cited by 2 Related articles All 6 versions