Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Michal Laclavik"'
Publikováno v:
Computer Science, Vol 13, Iss 4, p 5 (2012)
In this paper, we describe our work in progress in the scope of web-scale informationextraction and information retrieval utilizing distributed computing. Wepresent a distributed architecture built on top of the MapReduce paradigm forinformation retr
Externí odkaz:
https://doaj.org/article/4bafd727ffcf448eb88e707d92e20b8c
Autor:
Jan Mojzis, Michal Laclavik
Publikováno v:
2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
Personal data published on the web can lead into misusage. In many countries, including Slovakia, therefore particular laws were introduced in order to prevent or minimize such risk. On the other side, person's protection brings also inaccuracy in hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd95ef9ce2bbf929bf3b332c510e2e04
https://doi.org/10.1109/sami.2016.7423016
https://doi.org/10.1109/sami.2016.7423016
Autor:
Jan Mojzis, Michal Laclavik
Publikováno v:
2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).
Linked Data is a set of recommendations for publishing structured data on the web. Key part is interlinking and expansion of so called Linked Data Cloud, which is an interconnected graph of published data, following Tim Berners-Lee recommendations. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cdd04ef2b91a17c5748f01844ee1691
https://doi.org/10.1109/ines.2015.7329745
https://doi.org/10.1109/ines.2015.7329745
Publikováno v:
WWW (Companion Volume)
State of the art query categorization methods usually exploit web search services to retrieve the best matching web documents and map them to a given taxonomy of categories. This is effective but impractical when one does not own a web corpus and has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a51721a29af994a2a33a8ab0df7e3777
https://doi.org/10.1145/2740908.2741995
https://doi.org/10.1145/2740908.2741995
Autor:
Michal Laclavik, Ján Mojžiš
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319146539
Relationship discovery is a challenging field, especially when handling with big graphs (tenths to hundreds vertices and edges). In this paper, we define a set of rules for relationship discovery. To evaluate them and find connections we implement th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9002d25e8a605c3e9f8039209dfee3fb
https://doi.org/10.1007/978-3-319-14654-6_7
https://doi.org/10.1007/978-3-319-14654-6_7
Autor:
Michal Laclavik, Jan Mojzis
Publikováno v:
2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics (SAMI).
Distributed computing is widely used nowdays. Its computational power and memory resources are vital for computations with large-scale datasets, which cannot be handled with a stand-alone system. Pregel is a novel graph distributed computing model, f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b7ad135fb7864037dc86d53344a76b4
https://doi.org/10.1109/sami.2015.7061876
https://doi.org/10.1109/sami.2015.7061876
Autor:
Michal Laclavik, Ján Mojžiš
Publikováno v:
2014 Science and Information Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99436e8891f40b1dd3c82f1a69ac4dc2
https://doi.org/10.1109/sai.2014.6918184
https://doi.org/10.1109/sai.2014.6918184
Autor:
Michal Laclavik, Martin Tomášek, Marek Ciglan, Martin Seleng, Ladislav Hluchy, Stefan Dlugolinsky
Publikováno v:
IEEE 18th International Conference on Intelligent Engineering Systems INES 2014.
In this paper we want to describe a solution for the enterprise search and interoperability by using the lightweight semantic approach, which is suitable for small and micro enterprises. Our approach is based on discovering and reusing an existing kn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb3667a5c2e81b2334024a2e7e4c9483
https://doi.org/10.1109/ines.2014.6909373
https://doi.org/10.1109/ines.2014.6909373
Publikováno v:
Advanced Computational Methods for Knowledge Engineering ISBN: 9783319065687
ICCSAMA
ICCSAMA
Natural Language Processing (NLP) is important and interesting area in computer science affecting also other spheres of science; e.g., geographical processing, social statistics, molecular biology. A large amount of textual data is continuously produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42975be24d2d202da08556693766c6e5
https://doi.org/10.1007/978-3-319-06569-4_19
https://doi.org/10.1007/978-3-319-06569-4_19
Publikováno v:
ERD@SIGIR
ERD 2014 was a research challenge focused on the task of recognition and disambiguation of knowledge base entities in short and long texts. This write-up describes Magnetic-IISAS team's approach to the entity recognition in search queries with which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e2102671e524a827e1bd063a7bab395
https://doi.org/10.1145/2633211.2634352
https://doi.org/10.1145/2633211.2634352