5,058 research outputs found
33rd ACM conference on hypertext and social media
No full text© Owner/Author | ACM 2022. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM SIGWEB Newsletter, http://dx.doi.org/10.1145/3566100.3566102The ACM Hypertext conference is a premium venue for peer-reviewed research on hypertext theory, systems, and applications. It is concerned with all aspects of modern hypertext research including social media, semantic web, dynamic and computed hypertext and hypermedia as well as narrative systems and applications.
Hypertext 2022 was held in Barcelona, Spain, between June 28th and July 1st, co-located with ACM WebSci and ACM UMAP. Due to the global pandemic, this edition was the first hybrid one in this conference history, embracing both online and onsite attendees. This newsletter article briefly summarizes how the conference went and its major challenges.
________________The General and Program chairs would like to thank all who have contributed to the success of the conference in this hybrid mode: the rest of conference chairs, the track chairs, the program committee members and additional reviewers, the authors, the session chairs, the ACM staff and, last but not least, the event management company Alo led by Sandra. In addition, a thankful recognition has to be given to the sponsors: ACM SIGWEB, CCC, Now Publishers, Universidad Autónoma de Madrid, University of Cagliari, and the Hypertext Steering Committee for their great support, which was needed to conduct this edition of the conference appropriately and successfull
That's 'é' not 'þ' '?' or '☐': a user-driven context-aware approach to erroneous metadata in digital libraries
No full textIn this paper we present a novel system for user-driven integration of name variants when interacting with web-based information systems. The growth and diversity of online information means that many users experience disambiguation and collocation errors in their information searching. We approach these issues via a client-side JavaScript browser extension that can reorganise web content and also integrate remote data sources. The system is illustrated through three worked examples using existing digital libraries
Attachment style differences in the processing of attachment-relevant information: primed-style effects on recall, interpersonal expectations, and affect
No full textThe present study explored processing biases resulting from manipulating the temporal accessibility of relational schemas. By priming relational schemas, relationship–specific attachment styles were activated and their biasing effect on relevant information processing (namely recall for attachment–relevant words versus other words, interpersonal expectations, and affect) was examined. It was found that participants primed with a secure–style relational schema recalled more positive attachment words than those primed with an avoidant style. Although pre–priming endorsements of interpersonal expectations were influenced by global attachment style, once primed, participants showed primed–style–congruent responses. That is, primed secures showed higher endorsement of positive and lower endorsement of negative interpersonal expectations relative to the other primed style groups. Finally, primed secures reported more positive and less negative affect than the other primed style groups. Implications for understanding the way differential attachment experiences influence close relationships through life are considered
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
DBLP Publications Records and ACM Metadata for SIGWEB Conferences
No full textThe dataset ”DBLP-SIGWEB.zip” is derived from September 17, 2015 snapshot of dblp bibliography database. It contains all publications and authors records (available in dblp data) of 8 ACM SIGWEB conferences (HT, DL, DocEng, WebSci, CIKM, WSDM, UMAP, SIGIR):
The dataset also contains the authors, chairs, affiliations and additional metadata information of conferences that are published in ACM digital library.
dblp-sigweb.sql file creates 14 tables in mysql. Followings are the list and description of all attributes and tables used in the dataset. Same attributes used in different tables are listed only once.
1. Table- papers
dblp_key- unique id of each publication in dblp database
crossref- unique id of each conference in dblp database
doi- unique doi url to publisher page
paper_id- unique id of each article in acm digital library (DL)
cite_count- number of citations for each article calculated for the papers published in acm DL
pages- number of pages for each article in conference proceedings
conf_id- unique id of each conference in acm DL
funding- funding source information of article. NULL- if no funcding source available
2. Table- paper_authors
author_id- unique id of an author in acm DL
affiliation- affiliation information of author for associated article
3. Table- concepts
concept- concepts in an article- tagged by ACM
4. Table- author_tags
author_tag- Keywords/tags provided by authors
5. cited_by
paper_id- acm DL id of article A to be cited
cite_id- unique id of article that has cited article A
6. paper_references
refer_id- unique id of the articles (published in sigweb conferences) cited in article A.
7. Table- conferences
dblp_key- unique id of each conference in dblp database
year- year of the conference
publisher- publisher name of each conference (ACM, Springer, IEEE etc.)
title- full name of the conference proceeding
doi- unique doi url to the conference publisher page
8. Table- general_chairs, program_chairs, editors
author_id- unique id of author (as general chair, program chair or editor of conference conf_id)
affiliation- affiliation of author
9. authors_affiliation_history, colleagues
author_id- unique id of author A in ACM DL
position- index of affiliation- starts from 0
affiliation- lists all affiliations of an author
colleague_id- lists acm IDs of all authors publishing papers in ACM co-authored with A.
11. authors_info
author_name- full name of author acquired from ACM publisher page
year_first- year of first article publication in ACM
year_last- year of recent article publication in ACM
pub_count- total number of publciations in ACM DL
cite_count- total number of citations mentioned in ACM publciations
avg_cite- average number of citation in ACM publications
12. affiliations_info
affiliation- name of the affiliation
affiliation_type- type of affiliatioin (Industry, Academic Institution)
city, state, country- geographical location of affiliation
lat, lng- geocodes (latitude and longitude) of affiliatio
Social Signals and Multimedia: Past, Present, Future
No full textThe rising popularity of Artificial Intelligence (AI) has brought considerable public interest as well faster and more direct transfer of research ideas into practice. One of the aspects of AI that still trails behind considerably is the role of machines in interpreting, enhancing, modeling, generating, and influencing social behavior. Such behavior is captured as social signals, usually by sensors recording multiple modalities, making it classic multimedia data. Such behavior can also be generated by an AI system when interacting with humans. Using AI techniques in combination with multimedia data can be used to pursue multiple goals, two of which are high-lighted here. First, supporting people during social interactions and helping them to fulfil their social needs either actively or passively.Second, improving our understanding of how people collaborate, build relationships, and process self identity. Despite the rise of fields such as Social Signal Processing, a similar panel organised at ACM Multimedia 2014, and an area on social and emotional signal sat the ACM MM since 2014, we argue that we have yet to truly fulfil the potential of the combining social signals and multimedia. This panel asks where we have come far enough and what remaining challenges there are in light of recent global events.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Pattern Recognition and Bioinformatic
DBLP Publications Records and ACM Metadata for SIGWEB Conferences
No full textThe dataset ”DBLP-SIGWEB.zip” is derived from September 17, 2015 snapshot of dblp bibliography database. It contains all publications and authors records (available in dblp data) of 8 ACM SIGWEB conferences (HT, DL, DocEng, WebSci, CIKM, WSDM, UMAP, SIGIR): The dataset also contains the authors, chairs, affiliations and additional metadata information of conferences that are published in ACM digital library.dblp-sigweb.sql file creates 14 tables in mysql. Followings are the list and description of all attributes and tables used in the dataset. Same attributes used in different tables are listed only once.1. Table- papersdblp_key- unique id of each publication in dblp databasecrossref- unique id of each conference in dblp databasedoi- unique doi url to publisher pagepaper_id- unique id of each article in acm digital library (DL)cite_count- number of citations for each article calculated for the papers published in acm DLpages- number of pages for each article in conference proceedingsconf_id- unique id of each conference in acm DLfunding- funding source information of article. NULL- if no funcding source available2. Table- paper_authorsauthor_id- unique id of an author in acm DLaffiliation- affiliation information of author for associated article3. Table- conceptsconcept- concepts in an article- tagged by ACM4. Table- author_tagsauthor_tag- Keywords/tags provided by authors5. cited_bypaper_id- acm DL id of article A to be citedcite_id- unique id of article that has cited article A6. paper_referencesrefer_id- unique id of the articles (published in sigweb conferences) cited in article A.7. Table- conferencesdblp_key- unique id of each conference in dblp databaseyear- year of the conferencepublisher- publisher name of each conference (ACM, Springer, IEEE etc.)title- full name of the conference proceedingdoi- unique doi url to the conference publisher page8. Table- general_chairs, program_chairs, editorsauthor_id- unique id of author (as general chair, program chair or editor of conference conf_id)affiliation- affiliation of author9. authors_affiliation_history, colleaguesauthor_id- unique id of author A in ACM DLposition- index of affiliation- starts from 0affiliation- lists all affiliations of an authorcolleague_id- lists acm IDs of all authors publishing papers in ACM co-authored with A.11. authors_infoauthor_name- full name of author acquired from ACM publisher pageyear_first- year of first article publication in ACMyear_last- year of recent article publication in ACMpub_count- total number of publciations in ACM DLcite_count- total number of citations mentioned in ACM publciationsavg_cite- average number of citation in ACM publications12. affiliations_infoaffiliation- name of the affiliationaffiliation_type- type of affiliatioin (Industry, Academic Institution)city, state, country- geographical location of affiliationlat, lng- geocodes (latitude and longitude) of affiliatio
A mixed digital / physical snapshot of early internet / web usage in New Zealand
No full textWe are in the early stages of developing a unique physical and digital record of New Zealand's early experience of the Internet
DBLP Publications Records and ACM Metadata for SIGWEB Conferences
No full textThe dataset ”DBLP-SIGWEB.zip” is derived from September 17, 2015 snapshot of dblp bibliography database. It contains all publications and authors records (available in dblp data and ACM metadata) of 7 ACM SIGWEB conferences (HT, DL, DocEng, WebSci, CIKM, WSDM, UMAP)
dblp-sigweb.sql file creates 15 tables in mysql. Followings are the list and description of all attributes and tables used in the dataset. Same attributes used in different tables are listed only once.
1. Table- papers
dblp_key- unique id of each publication in dblp database
crossref- unique id of each conference in dblp database
doi- unique doi url to publisher page
paper_id- unique id of each article in acm digital library (DL)
cite_count- number of citations for each article calculated for the papers published in acm DL
pages- number of pages for each article in conference proceedings
conf_id- unique id of each conference in acm DL
funding- funding source information of article. NULL- if no funcding source available
2. Table- paper_authors
author_id- unique id of an author in acm DL
affiliation- affiliation information of author for associated article
3. Table- concepts
concept- concepts in an article- tagged by ACM
4. Table- author_tags
author_tag- Keywords/tags provided by authors
5. cited_by
paper_id- acm DL id of article A to be cited
cite_id- unique id of article that has cited article A
6. paper_references
refer_id- unique id of the articles (published in sigweb conferences) cited in article A.
7. Table- conferences
dblp_key- unique id of each conference in dblp database
year- year of the conference
publisher- publisher name of each conference (ACM, Springer, IEEE etc.)
title- full name of the conference proceeding
doi- unique doi url to the conference publisher page
8. Table- general_chairs, program_chairs, editors
author_id- unique id of author
affiliation- affiliation of author
9. authors_affiliation_history, colleagues
author_id- unique id of author A in ACM DL
position- index of affiliation- starts from 0
affiliation- lists all affiliations of an author
colleague_id- lists acm IDs of all authors publishing papers in ACM co-authored with A.
11. authors_info
author_name- full name of author acquired from ACM publisher page
year_first- year of first article publication in ACM
year_last- year of recent article publication in ACM
pub_count- total number of publciations in ACM DL
cite_count- total number of citations mentioned in ACM publciations
avg_cite- average number of citation in ACM publications
12. affiliations_info
affiliation- name of the affiliation
affiliation_type- type of affiliatioin (Industry, Academic Institution)
city, state, country- geographical location of affiliation
lat, lng- geocodes of affiliation
13. Table- acceptance rate
conf_id- acm id of conference
dblp_key- dblp id of a conference
submitted- #submission received in conf X in year Y
accepted- #accepted papers in conf X in year Y
rate- acceptance rate of conf X in year Y
- …
