Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Emilia Kacprzak"'
From the perspective of marketing studies, a crisis of reputation is interpreted as such post factum, when measurable financial loss is induced. However, it is highly demanded to discover its signs as early as possible for risk management purposes. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5dc5b0ee5fc821a77d09c10702a9ed1
https://doi.org/10.21203/rs.3.rs-2064383/v1
https://doi.org/10.21203/rs.3.rs-2064383/v1
Publikováno v:
Semantic Web. 12:5-20
A lot of tabular data are being published on the Web. Semantic labeling of such data may help in their understanding and exploitation. However, many challenges need to be addressed to do this automatically. With numbers, it can be even harder due to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc62760544b9ed6a4ed85769c7e00fd7
https://doi.org/10.3233/sw-200397
https://doi.org/10.3233/sw-200397
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c7b339270bad535e842907d47037daf
https://doi.org/10.1109/icmla52953.2021.00208
https://doi.org/10.1109/icmla52953.2021.00208
Publikováno v:
Koesten, L, Simperl, E, Emilia, M K, Blount, T & Tennison, J 2020, ' Everything you always wanted to know about a dataset : studies in data summarisation ', INTERNATIONAL JOURNAL OF HUMAN COMPUTER STUDIES, vol. 135, 102367, pp. 1-21 . https://doi.org/10.1016/j.ijhcs.2019.10.004
Summarising data as text helps people make sense of it. It also improves data discovery, as search algorithms can match this text against keyword queries. In this paper, we explore the characteristics of text summaries of data in order to understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3178e21a57bca523064930b6c5b5179
https://kclpure.kcl.ac.uk/en/publications/67d8a878-6519-4824-9b28-c40b783d1833
https://kclpure.kcl.ac.uk/en/publications/67d8a878-6519-4824-9b28-c40b783d1833
Autor:
Laura Koesten, Luis-Daniel Ibáñez, Paul Groth, Emilia Kacprzak, Adriane Chapman, Elena Simperl, George Konstantinidis
Publikováno v:
Chapman, A, Simperl, E, Koesten, L, Konstantinidis, G, Gonzalez, L I, Kacprzak, E & Groth, P 2020, ' Dataset search : a survey ', VLDB JOURNAL, vol. 29, no. 1, pp. 251–272 . https://doi.org/10.1007/s00778-019-00564-x
The VLDB Journal, 29(1), 251-272. Springer New York
The VLDB Journal, 29(1), 251-272. Springer New York
Generating value from data requires the ability to find, access and make sense of datasets. There are many efforts underway to encourage data sharing and reuse, from scientific publishers asking authors to submit data alongside manuscripts to data ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6853a580e3b3760359ddcf656c2b961e
https://kclpure.kcl.ac.uk/ws/files/125003585/Dataset_search_a_survey_Acc12Aug2019Epub24Aug2019_GOLD_VoR_CC_BY_.pdf
https://kclpure.kcl.ac.uk/ws/files/125003585/Dataset_search_a_survey_Acc12Aug2019Epub24Aug2019_GOLD_VoR_CC_BY_.pdf
Publikováno v:
CHI
Koesten, L, Tennison, J, Kacprzak, E & Simperl, E 2019, Collaborative practices with structured data: do tools support what users need? in CHI 2019-Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . pp. 1-14 . https://doi.org/10.1145/3290605.3300330
Koesten, L, Tennison, J, Kacprzak, E & Simperl, E 2019, Collaborative practices with structured data: do tools support what users need? in CHI 2019-Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . pp. 1-14 . https://doi.org/10.1145/3290605.3300330
Collaborative work with data is increasingly common and spans a broad range of activities - from creating or analysing data in a team, to sharing it with others, to reusing someone else?s data in a new context. In this paper, we explore collaboration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::760fb8e7e61433b32e8cbeaefa76a561
https://eprints.soton.ac.uk/432335/
https://eprints.soton.ac.uk/432335/
Publikováno v:
Emilia, M K, Laura, M K, Gonzalez, L I, Blount, T, Tennison, J & Simperl, E 2019, ' Characterising dataset search ? an analysis of search logs and data requests ', Journal of Web Semantics, vol. 55, pp. 37-55 . https://doi.org/10.1016/j.websem.2018.11.003
Journal of Web Semantics
Journal of Web Semantics
Large amounts of data are becoming increasingly available online. In order to benefit from it we need tools to retrieve the most relevant datasets that match ones data needs. Several vocabularies have been developed to describe datasets in order to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c321ecaee0a84b8d850e230af8e5b05
https://kclpure.kcl.ac.uk/en/publications/70b7bed6-c481-4e6a-a00f-3ba8298d7c32
https://kclpure.kcl.ac.uk/en/publications/70b7bed6-c481-4e6a-a00f-3ba8298d7c32
Publikováno v:
Companion of the The Web Conference 2018 on The Web Conference 2018 -WWW '18
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW 18
WWW (Companion Volume)
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW '18
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW 18
WWW (Companion Volume)
Companion of the The Web Conference 2018 on The Web Conference 2018-WWW '18
The amount of data generated and published on the web is increasing rapidly, but search for structured data on the web still presents challenges. In this paper we explore dataset search by analysing queries specifically generated for this work throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c78f05c196a862f70e242d72efb3b8d6
Publikováno v:
CHI
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems-CHI 17
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems -CHI '17
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems-CHI 17
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems -CHI '17
Structured data such as databases, spreadsheets and web tables is becoming critical in every domain and professional role. Yet we still do not know much about how people interact with it. Our research focuses on the information seeking behaviour of p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccf5d9ce66dd23ea35d234a2b6fba81e
https://doi.org/10.1145/3025453.3025838
https://doi.org/10.1145/3025453.3025838
Autor:
Laura Koesten, José M. Giménez-García, Elena Simperl, Emilia Kacprzak, Jeni Tennison, Alessandro Piscopo, Luis-Daniel Ibáñez
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Knowledge Engineering and Knowledge Management
King's College London
Knowledge Engineering and Knowledge Management-21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings
Lecture Notes in Computer Science ISBN: 9783030036669
EKAW
Lecture Notes in Computer Science-Knowledge Engineering and Knowledge Management
King's College London
Knowledge Engineering and Knowledge Management-21st International Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings
Lecture Notes in Computer Science ISBN: 9783030036669
EKAW
With the increasing amount of structured data on the web the need to understand and support search over this emerging data space is growing. Adding semantics to structured data can help address existing challenges in data discovery, as it facilitates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1646f40430bd8c00738d5dc3dfd0b4f1