Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Paolo Merialdo"'
Publikováno v:
Proceedings of the VLDB Endowment. 15:3566-3569
The latest generations of Link Prediction (LP) models rely on embeddings to tackle incompleteness in Knowledge Graphs, achieving great performance at the cost of interpretability. Their opaqueness limits the trust that users can place in them, hinder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e456dd977e1d9dedfd5cabc03d83375a
https://doi.org/10.14778/3554821.3554845
https://doi.org/10.14778/3554821.3554845
Publikováno v:
Innocenz III., Honorius III. und ihre Briefe ISBN: 9783205217695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07057c0d02381c570585438b409eb8f
https://doi.org/10.7767/9783205217718.243
https://doi.org/10.7767/9783205217718.243
We focus on the key task of semantic type discovery over a set of heterogeneous sources, an important data preparation task. We consider the challenging setting of multiple Web data sources in a vertical domain, which present sparsity of data and a h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06531ae270f43f034c235b0fa817b1c
https://hdl.handle.net/11590/405863
https://hdl.handle.net/11590/405863
Entity resolution (ER) aims at identifying record pairs that refer to the same real-world entity. Recent works have focused on deep learning (DL) techniques, to solve this problem. While such works have brought tremendous enhancements in terms of eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55af550b9fceeb59a13fcbacf079bdc1
https://hdl.handle.net/11573/1642697
https://hdl.handle.net/11573/1642697
Link Prediction (LP) aims at tackling Knowledge Graph incompleteness by inferring new, missing facts from the already known ones. The rise of novel Machine Learning techniques has led researchers to develop LP models that represent Knowledge Graph el
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::800eeabab1519ef2b615b20521820a5d
https://hdl.handle.net/11590/410639
https://hdl.handle.net/11590/410639
Autor:
Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava
Entity resolution (ER) aims at matching records that refer to the same real-world entity. Although widely studied for the last 50 years, ER still represents a challenging data management problem, and several recent works have started to investigate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac54c0bc66fc3b9c72599d8c21787fb
https://hdl.handle.net/11590/418221
https://hdl.handle.net/11590/418221
In Codice Ratio is a research project to study techniques for analyzing the contents of historical documents conserved in the Vatican Apostolic Archives. In this paper, we present our efforts to develop a system to support the automatic transcription
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbe805ed3edc1fd496d623846d7b3afd
https://hdl.handle.net/11590/388014
https://hdl.handle.net/11590/388014
Knowledge Graphs (KGs) have found many applications in industry and academic settings, which in turn, have motivated considerable research efforts towards large-scale information extraction from a variety of sources. Despite such efforts, it is well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2435fd75de0a1eb92b809ed33ddd822
https://hdl.handle.net/11590/387211
https://hdl.handle.net/11590/387211
Autor:
Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane
Publikováno v:
Information Processing & Management. 59:102875
In this paper, we consider the task of automatically identifying whether different parts of medieval and modern manuscripts can be traced back to the same copyist/scribe, a problem of significant interest in paleography. Currently, the application of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e31f4ad39a015e298df90ca47eb394
https://doi.org/10.1016/j.ipm.2022.102875
https://doi.org/10.1016/j.ipm.2022.102875
Publikováno v:
aiDM@SIGMOD
Entity Resolution (ER) seeks to understand which records refer to the same entity (e.g., matching products sold on multiple websites). The sheer number of ways humans represent and misrepresent information about real-world entities makes ER a challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::433b3ebe8ba27f780bffdae5b2f07e01
https://hdl.handle.net/11590/364326
https://hdl.handle.net/11590/364326