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Gerasimov Nikita (Nothern (Arctic) Federal University), Mozgovoy Maxim (The University of Aizu, Japan), Lagunov Alexey (Nothern (Arctic) Federal University)
Semantic sentence structure search engine
Annals of Computer Science and Information Systems, 2014, vol. 2, s. 255 - 259, rys., tab., bibliogr. 10 poz.
Wyszukiwarki internetowe, Sieć semantyczna, Dokument elektroniczny
Internet search engine, Semantic Web Service (SWS), Electronic document
Many of current web search engines rely on inverted index-based data structures as document information store. Since and inverted index is a map from individual document words to their respective locations, such data structure destructs semantic links between the words, and thus does not support structural user queries. In other words, such systems can only find the documents that contain user-specified words. In this paper we propose to create semantic links between the terms contained in inverted index, and in such way create a semantic network. This network will preserve the internal structure of the stored documents, and will enable the users to perform structural queries. Both structural-saving indexation and structural user search query allow to save semantic speech meaning of the text while search process.(original abstract)
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  1. Bonstrom V., Hinze A., Schweppe H., "Storing RDF as a graph", Web Congress, 2003. Proceedings. First Latin American , vol., no., pp.27,36, 10-12 Nov. 2003
  2. Brin S. and Page L., "The anatomy of a large-scale hypertextual Web search engine", Proceedings of the seventh international conference on World Wide Web 7, 1998, pp. 107-117
  3. Edunov S., "How to extract useful content from HTML", ""
  4. luating dependency parsers for Russian" Proceedings of COLING 2012: Posters, IIT Bombay, Mumbai, India, pp. 349-360
  5. Gulin A., Karpovich P., Raskovalov D. and Segalovich I., "Ranking algorithms optimisation using machine-learning methods", Romip proceedings, 2009
  6. Harth A. and Decker S., "Optimized Index Structures for Querying RDF from the Web", Digital Enterprise Research Institute (DERI), National University of Galway, Ireland, 2005, p. 2.
  7. Ilyinsky S. , Kuzmin M., Melkov A. and Segalovich I., "An efficient method to detect duplicates of Web documents with the use of inverted index", WWW Conference, 2002
  8. Kalender M., Dang J., "SKMT: A Semantic Knowledge Management Tool for Content Tagging, Search and Management," Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on , vol., no., pp.112,119, 22-24 Oct. 2012
  9. Manning C. D., Raghavan P. and Schütze H., "Introduction to Information Retrieval" Cambridge University Press. 2008 p. 6.
  10. Xian B. C. M., Zahari F. and Lukose D., "Benchmarking ARS: Anaphora Resolution System", Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies, 2011, p. 39
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