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- |Title=Towards a Knowledge Graph for Science |Keywords=Knowledge Graph, Science and Technology, Research Infrastructure, Libraries, Information Sc4 KB (620 words) - 10:33, 5 July 2018
- |Title=Towards a Knowledge Graph Representing Research Findings by Semantifying Survey Articles ...much. We have the vision that ultimately researchers will work on a common knowledge base comprising comprehensive descriptions of their research, thus making r8 KB (1,139 words) - 10:25, 5 July 2018
Page text matches
- |Title=The Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications ...DA 2020''', The Twelfth International Conference on Advances in Databases, Knowledge, and Data Applications11 KB (1,371 words) - 12:28, 18 May 2020
- ...s the board. Many semi-supervised learning methods (e.g. transductive SVM, graph-based methods) have been originally developed for binary classification pro ...sts) and what algorithms are best suited for each class? For instance, can graph-based algorithms be successfully applied to sequence-to-sequence problems l7 KB (961 words) - 05:50, 14 October 2008
- on other knowledge fields (such as social science and the humanities). such as linguistic knowledge acquisition, semantic role labeling,6 KB (857 words) - 04:56, 15 September 2009
- ...of the conference has been the representation and analysis of conceptual knowledge for research and practical application. ICCS brings together researchers an ...tual Structures in Practice", ed. by Hitzler and Schärfe and "Graph-based Knowledge Representation: Computational Foundations of Conceptual Graphs" by Chein an4 KB (588 words) - 06:14, 22 December 2011
- ...lications, social networks, blog search, forums and community sites, large graph analysis, rumor detection, sentiment classification, etc. * Knowledge Representation, Metadata, Ontology, Semantic Web, Knowledge Engineering.3 KB (401 words) - 23:08, 14 October 2008
- * Data mining/knowledge discovery. * XML and graph databases.2 KB (308 words) - 23:08, 14 October 2008
- for knowledge representation, data querying and scalability, and lightweight ontologies, to knowledge and social networks5 KB (709 words) - 23:08, 14 October 2008
- ...l medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution. This has led to a ris3 KB (404 words) - 23:18, 14 October 2008
- to exchange findings and review knowledge and understanding on topics Graph Mining5 KB (569 words) - 23:21, 14 October 2008
- |Title=9th International Conference on Knowledge Management and Knowledge Technologies |Field=Knowledge Management2 KB (256 words) - 01:51, 16 December 2008
- ...ces / workshops on learning from relational, graph-based and probabilistic knowledge will be co-located: ILP-2009, the 19th International Conference on Inductiv The MLG workshop series focuses on graph-based approaches to machine learning and data mining; since its conception4 KB (542 words) - 13:01, 18 January 2009
- ...ces / workshops on learning from relational, graph-based and probabilistic knowledge will be co-located: ILP-2009, the 19th International Conference on Inductiv The MLG workshop series focuses on graph-based approaches to machine learning and data mining; since its conception4 KB (521 words) - 15:25, 23 July 2019
- takes place between local structural knowledge and global networks, social networks, games, graph representations, compact data5 KB (636 words) - 13:02, 18 January 2009
- ...ods for African and Other Under-Resourced/Low-Density Languages, including knowledge and data-driven methods and their combinations ...nd Other Multiauthor Volumes) for LaTeX in producing the PDF document. For graph visualization, Vaucanson-G LaTeX style, Graphviz/dot and XFig are recommend10 KB (1,287 words) - 13:02, 18 January 2009
- - graph theory and combinatorial optimisation - spatio-temporal reasoning, knowledge acquisition, preference and scaling methods7 KB (912 words) - 17:08, 27 February 2009
- *Knowledge graph quality for machine learning applications *Community-based knowledge graphs and quality: Wikidata, DBpedia, YAGO, etc.5 KB (607 words) - 19:34, 22 March 2021
- | Title = First International Workshop on Graph Techniques for Biomedical Networks ...ription Framework) graphs that can be used for reasoning and inferring new knowledge. The collaboration within a research community and citations among publicat4 KB (584 words) - 11:36, 2 August 2009
- Graph and Network Visualization Visualization and Knowledge Discovery7 KB (882 words) - 11:36, 2 August 2009
- * Distributed graph algorithms * Game-theoretic and knowledge-based approaches to distributed computing3 KB (344 words) - 11:30, 21 April 2020
- * Graphical and Graph-based Models * Knowledge Acquisition and Representation3 KB (351 words) - 11:32, 1 July 2011
- * Graph Visualization * Knowledge-assisted Visualization4 KB (461 words) - 11:48, 1 July 2011
- |Title=29th ACM International Conference on Information and Knowledge Management |Field=Information and Knowledge Management5 KB (653 words) - 13:04, 3 August 2023
- *Graph data management *Knowledge Graph4 KB (535 words) - 21:32, 11 February 2020
- *Semantic web and knowledge management *Graph data management4 KB (500 words) - 17:29, 6 January 2021
- * Information Extraction and Text Mining, and Knowledge Graph2 KB (250 words) - 16:38, 7 April 2021
- * Enterprise Knowledge Graphs, Graph Data Management and Deep Semantics * Semantic Information Management & Knowledge Integration6 KB (872 words) - 14:00, 22 February 2020
- |Title=Joint International Conference on Knowledge Graphs ...ed areas to present innovative research results and novel applications for Knowledge Graphs.4 KB (531 words) - 14:14, 22 February 2020
- * Semantic search, faceted search, and knowledge graphs * Knowledge acquisition and automatic construction of knowledge bases4 KB (508 words) - 15:49, 14 May 2020
- * Search in Structured Data (e.g., XML search, graph search, ranking in databases, desktop search, email search, entity-oriented ...versational search, semantic search, entity search, KB question answering, knowledge-guided NLP, search and recommendation).8 KB (1,024 words) - 09:57, 13 May 2020
- Knowledge Representation String and Graph Algorithms9 KB (1,272 words) - 05:51, 4 May 2012
- Graph Theory and Computing Graph Theory and combinatorial optimization10 KB (1,363 words) - 09:26, 7 May 2012
- |Homepage=http://jist2018.knowledge-graph.jp/ * Knowledge graph5 KB (699 words) - 14:57, 5 December 2018
- Visual Data Analysis and Knowledge Discovery Data Management and Knowledge Representation4 KB (466 words) - 16:27, 19 June 2012
- * Knowledge Graph ** Generation of knowledge graph5 KB (711 words) - 19:02, 7 March 2020
- ..., pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high qua - Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data2 KB (239 words) - 15:26, 26 February 2020
- |Field=Semantic Web, Linked Data, Knowledge Graph659 bytes (81 words) - 12:27, 10 September 2016
- |Title=23rd ACM International Conference on Information and Knowledge Management |Field=Information and Knowledge Management12 KB (1,565 words) - 04:15, 5 August 2023
- Big data and Genome Data; Large scale data retrieval; Graph-modeled Data; Geo-tagged photos; Tractable uncertain data; Data curation wo ...Big Data; Crowdsourcing applications; Distributed online tracking; Social graph partitioning methods; Monitoring of co-evolving data streams; Deep packet i10 KB (1,305 words) - 00:29, 12 December 2020
- ..., pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high qua - Mining text, semi-structured, spatio-temporal, streaming, graph, web, multimedia data2 KB (242 words) - 15:26, 26 February 2020
- ..., pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing. By promoting novel, high qua - Link and graph mining3 KB (407 words) - 10:17, 27 July 2016
- |Title=22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining ...vite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel mo2 KB (282 words) - 10:48, 8 February 2020
- |Title=21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining ...vite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel mo2 KB (270 words) - 10:49, 8 February 2020
- |Title=1st conference on Language, Data and Knowledge ...NLP and machine learning methods as well as semantic technologies based on knowledge graphs6 KB (847 words) - 15:02, 8 December 2016
- * connections between databases and knowledge representation * graph databases and (semantic) Web data4 KB (557 words) - 10:14, 15 May 2019
- We have the vision, that ultimately researchers will work on a common knowledge base comprising comprehensive descriptions of their research, thus making r ...esearch fields can be performed in a semantic way resulting in a knowledge graph describing the individual research problems, approaches, implementations an2 KB (208 words) - 17:53, 11 November 2016
- ...presenters, while offering participants an effective way to broaden their knowledge of the emerging research trends and to network with other researchers. ...areas (e.g., business intelligence, analytics, search, content management, knowledge management, recommendation systems, data integration, etc.).10 KB (1,424 words) - 09:54, 6 March 2020
- * graph analytics * information gathering for supporting knowledge-intensive enterprises9 KB (1,190 words) - 10:12, 5 June 2019
- * Data mining and knowledge discovery * Graph databases3 KB (421 words) - 20:37, 11 February 2021
- ...s focus on structuring data to form machine-readable conceptual models and knowledge resources. Both fields have considerably impacted data analysis and represe - learning semantic similarity and encoding distances as knowledge graph4 KB (590 words) - 10:52, 16 July 2017
- techniques help build knowledge graphs of human capital entities; Personalized Ontology mining for human capital knowledge graph construction7 KB (888 words) - 11:52, 8 August 2017