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  • |Field=natural language processing, indian languages, NLP, semantic similarity
    383 bytes (49 words) - 18:22, 8 July 2016
  • Querying for mining; Questions for digital investigation; Similarity search; User-generated content; Visualizing data mining; Internationalizati ...and video; Mining patterns; Opinion mining; Graph mining; Ontology mining; Semantic annotations and mining; Document mining; Spatial mining; Speech mining; Tex
    10 KB (1,305 words) - 00:29, 12 December 2020
  • |Field=Semantic Web ...ta science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs
    6 KB (847 words) - 15:02, 8 December 2016
  • |Field=Semantic Web ...chers from different fields (including Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, H
    8 KB (1,086 words) - 13:37, 11 January 2017
  • * Usage of semantic web techniques to open and interlink scholarly data in digital libraries an * Content- and data-based semantic similarity of scholarly papers
    4 KB (491 words) - 13:32, 10 April 2017
  • ...rying, and maintenance of knowledge graphs (not necessarily limited to the Semantic Web technology stack) out of heterogeneous data sources. * Knowledge capture for the Semantic Web and the Web of Linked Data
    7 KB (942 words) - 16:53, 8 January 2018
  • |Title=Second Workshop on Semantic Deep Learning |Field=Semantic Web
    4 KB (590 words) - 10:52, 16 July 2017
  • and independence, similarity-based reasoning, preference modeling and services, secure Semantic Web, risk management;
    9 KB (1,118 words) - 13:41, 3 September 2017
  • * In depth analysis of semantic relations relations, semantic components, co-occurrence statistics,
    5 KB (596 words) - 09:59, 21 August 2017
  • |Field=Semantic Web ...chers from different fields (including Document and Knowledge Engineering, Semantic Web, Natural Language Processing, Scholarly Communication, Bibliometrics, H
    17 KB (2,523 words) - 22:04, 21 December 2017
  • ...owerful enabler for the transition from the document-oriented Web into the Semantic Web. While the amount of data published as Linked Data grows steadily and h ...mathematical characteristics of metric spaces to compute estimates of the similarity between instances. These estimates are then used to filter out a large amou
    4 KB (664 words) - 09:29, 2 March 2019
  • |Title=SERIMI – Resource Description Similarity, RDF Instance Matching and Interlinking ...ata Cloud is a challenging problem and a key factor for the success of the Semantic Web. Manual rule-based methods are the most effective solution for the prob
    4 KB (656 words) - 13:23, 12 July 2018
  • ...ork Times are written in natural language, the performance of our semantic similarity calculator are constrained. We are considering more tests carrying out on
    3 KB (434 words) - 13:00, 12 July 2018
  • demonstrate the benefits of exploiting semantic web technology to reconcile data rule-based data mappings, and we also presented how semantic similarity measures are
    4 KB (589 words) - 14:43, 5 July 2018
  • ...there are three major dimensions for similarity: syntactic, external, and semantic. Coincidentally, they roughly correspond to the dimensions identified by Co
    1 KB (160 words) - 13:24, 3 July 2018
  • ...thod of calculating semantic similarity, a semantic distance-based concept similarity computation method is proposed.
    290 bytes (40 words) - 13:25, 3 July 2018
  • ...al processing; symbolic music processing; metadata, tags, linked data, and semantic web; ...c classification; indexing and querying; pattern matching and detection; similarity metrics.
    2 KB (269 words) - 19:50, 4 June 2020
  • |Title=11th International Workshop on Semantic Evaluation 2017 '''International Workshop on Semantic Evaluation 2017
    4 KB (581 words) - 13:53, 8 June 2020
  • Querying for mining; Questions for digital investigation; Similarity search; User-generated content; Visualizing data mining; Internationalizati ...and video; Mining patterns; Opinion mining; Graph mining; Ontology mining; Semantic annotations and mining; Document mining; Spatial mining; Speech mining; Tex
    11 KB (1,356 words) - 12:56, 14 June 2020
  • ...ogosphere; Data-mining twitter; Detection of persistent topics; Attraction similarity metric; Community influence ranking in social networks ...Semantic processing of social media for sentiment analysis; Comparison of semantic approaches for sentiment analysis; Prediction of sentiment towards events,
    9 KB (1,068 words) - 19:47, 9 July 2020

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