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- research-article
Adaptive Scheduling of Continuous Operators for IoT Edge Analytics
- Patient Ntumba
Cedric, Cnam, Paris, France
, - Nikolaos Georgantas
MiMove Team, Inria, Paris, France
, - Vassilis Christophides
ENSEA, ETIS, France
Future Generation Computer Systems, Volume 158, Issue C•Sep 2024, pp 277-293 • https://doi.org/10.1016/j.future.2024.04.029AbstractIn this paper, we address the problem of adaptive scheduling of data stream processing and analytics (DSPA) applications in a shared edge fog cloud (EFC) continuum with response time constraints. The focus is on handling the dynamic workload of ...
Highlights- Cost Model for evaluating the usage cost of computational and network resources in an Edge–Fog–Cloud (EFC) architecture.
- Response Time Model to take into account the constraints related to the time-sensitive nature of data stream ...
- 0Citation
MetricsTotal Citations0
- Patient Ntumba
- research-articleOpen AccessPublished By ACMPublished By ACM
Do We Really Need Imputation in AutoML Predictive Modeling?
- George Paterakis
Computer Science Department, University of Crete, Heraklion, Greece
, - Stefanos Fafalios
JADBio Gnosis DA S.A, Heraklion, Greece
, - Paulos Charonyktakis
JADBio Gnosis DA S.A., Heraklion, Greece
, - Vassilis Christophides
ENSEA, ETIS, Cergy, France
, - Ioannis Tsamardinos
Computer Science Department, University of Crete, Heraklion, Greece
ACM Transactions on Knowledge Discovery from Data, Volume 18, Issue 6•July 2024, Article No.: 147, pp 1-64 • https://doi.org/10.1145/3643643Numerous real-world data contain missing values, while in contrast, most Machine Learning (ML) algorithms assume complete datasets. For this reason, several imputation algorithms have been proposed to predict and fill in the missing values. Given the ...
- 1Citation
- 1,275
- Downloads
MetricsTotal Citations1Total Downloads1,275Last 12 Months1,275Last 6 weeks127- 2
- George Paterakis
- research-article
Knowledge graph embedding methods for entity alignment: experimental review
- Nikolaos Fanourakis
Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece
Computer Science Department, University of Crete, Voutes Campus, Heraklion, Greece
, - Vasilis Efthymiou
Institute of Computer Science, FORTH, N. Plastira 100, Heraklion, Greece
, - Dimitris Kotzinos
Lab. ETIS, CNRS, CY Cergy Paris University, ENSEA, 2 av. A. Chauvin, UMR 8051, Cergy-Pontoise, France
, - Vassilis Christophides
Lab. ETIS, CNRS, CY Cergy Paris University, ENSEA, 2 av. A. Chauvin, UMR 8051, Cergy-Pontoise, France
Data Mining and Knowledge Discovery, Volume 37, Issue 5•Sep 2023, pp 2070-2137 • https://doi.org/10.1007/s10618-023-00941-9AbstractIn recent years, we have witnessed the proliferation of knowledge graphs (KG) in various domains, aiming to support applications like question answering, recommendations, etc. A frequent task when integrating knowledge from different KGs is to ...
- 5Citation
MetricsTotal Citations5
- Nikolaos Fanourakis
- Article
Structural Bias in Knowledge Graphs for the Entity Alignment Task
- Nikolaos Fanourakis
FORTH-ICS, Heraklion, Greece
, - Vasilis Efthymiou
FORTH-ICS, Heraklion, Greece
, - Vassilis Christophides
Lab. ETIS, CY Cergy Paris University, ENSEA, CNRS UMR 8051, Cergy, France
, - Dimitris Kotzinos
Lab. ETIS, CY Cergy Paris University, ENSEA, CNRS UMR 8051, Cergy, France
, - Evaggelia Pitoura
University of Ioannina, Ioannina, Greece
, - Kostas Stefanidis
Tampere University, Tampere, Finland
The Semantic Web•May 2023, pp 72-90• https://doi.org/10.1007/978-3-031-33455-9_5AbstractKnowledge Graphs (KGs) have recently gained attention for representing knowledge about a particular domain and play a central role in a multitude of AI tasks like recommendations and query answering. Recent works have revealed that KG embedding ...
- 1Citation
MetricsTotal Citations1
- Nikolaos Fanourakis
- Article
On the Foundations of Computing Deltas Between RDF Models
- Dimitris Zeginis
Computer Science Department, University of Crete, GREECE, and Institute of Computer Science, FORTH-ICS, Greece
, - Yannis Tzitzikas
Computer Science Department, University of Crete, GREECE, and Institute of Computer Science, FORTH-ICS, Greece
, - Vassilis Christophides
Computer Science Department, University of Crete, GREECE, and Institute of Computer Science, FORTH-ICS, Greece
The Semantic Web•November 2007, pp 637-651• https://doi.org/10.1007/978-3-540-76298-0_46AbstractThe ability to compute the differences that exist between two RDF models is an important step to cope with the evolving nature of the Semantic Web (SW). In particular, RDF Deltas can be employed to reduce the amount of data that need to be ...
- 1Citation
MetricsTotal Citations1
- Dimitris Zeginis
- research-article
A meta-level analysis of online anomaly detectors
- Antonios Ntroumpogiannis
University of Crete, Voutes Campus, 70013, Heraklion, Greece
, - Michail Giannoulis
University of Clermont Auvergne, 49 Bd François Mitterrand, 63000, Clermont-Ferrand, France
, - Nikolaos Myrtakis
University of Crete, Voutes Campus, 70013, Heraklion, Greece
ENSEA, ETIS, 6 Av. du Ponceau, 95000, Cergy, France
, - Vassilis Christophides
ENSEA, ETIS, 6 Av. du Ponceau, 95000, Cergy, France
, - Eric Simon
SAP, 35 Rue d’Alsace, 92300, Levallois-Perret, France
, - Ioannis Tsamardinos
University of Crete, Voutes Campus, 70013, Heraklion, Greece
The VLDB Journal — The International Journal on Very Large Data Bases, Volume 32, Issue 4•Jul 2023, pp 845-886 • https://doi.org/10.1007/s00778-022-00773-xAbstractReal-time detection of anomalies in streaming data is receiving increasing attention as it allows us to raise alerts, predict faults, and detect intrusions or threats across industries. Yet, little attention has been given to compare the ...
- 4Citation
MetricsTotal Citations4
- Antonios Ntroumpogiannis
- short-paperPublished By ACMPublished By ACM
FairER: Entity Resolution With Fairness Constraints
- Vasilis Efthymiou
FORTH-ICS, Heraklion, Greece
, - Kostas Stefanidis
Tampere University, Tampere, Finland
, - Evaggelia Pitoura
University of Ioannina, Ioannina, Greece
, - Vassilis Christophides
ENSEA, ETIS, Cergy, France
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management•October 2021, pp 3004-3008• https://doi.org/10.1145/3459637.3482105There is an urgent call to detect and prevent "biased data" at the earliest possible stage of the data pipelines used to build automated decision-making systems. In this paper, we are focusing on controlling the data bias in entity resolution (ER) tasks ...
- 11Citation
- 229
- Downloads
MetricsTotal Citations11Total Downloads229Last 12 Months61Last 6 weeks3- 1
Supplementary MaterialCIKM21-rgsp2685.mp4
- Vasilis Efthymiou
- research-article
Face Liveness Detection Competition (LivDet-Face) - 2021
- Sandip Purnapatra
Clarkson University,USA
, - Nic Smalt
Clarkson University,USA
, - Keivan Bahmani
Clarkson University,USA
, - Priyanka Das
Clarkson University,USA
, - David Yambay
Clarkson University,USA
, - Amir Mohammadi
Idiap Research Institute,Switzerland
, - Anjith George
Idiap Research Institute,Switzerland
, - Thirimachos Bourlai
University of Georgia,USA
, - Sébastien Marcel
Idiap Research Institute,Switzerland
, - Stephanie Schuckers
Clarkson University,USA
, - Meiling Fang
Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
, - Naser Damer
Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
, - Fadi Boutros
Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
, - Arjan Kuijper
Fraunhofer Institute for Computer Graphics Research IGD,Darmstadt,Germany
, - Alperen Kantarci
Istanbul Technical University,SiMiT Lab,Istanbul,Turkey
, - Başar Demir
Istanbul Technical University,SiMiT Lab,Istanbul,Turkey
, - Zafer Yildiz
Istanbul Technical University,SiMiT Lab,Istanbul,Turkey
, - Zabi Ghafoory
Istanbul Technical University,SiMiT Lab,Istanbul,Turkey
, - Hasan Dertli
Istanbul, Turkey ETIS lab,Sodec Apps,Paris,France
, - Hazım Kemal Ekenel
Istanbul Technical University,SiMiT Lab,Istanbul,Turkey
, - Son Vu
CY Cergy Paris Universite,ENSEA, ETIS Lab,Paris,France
, - Vassilis Christophides
CY Cergy Paris Universite,ENSEA, ETIS Lab,Paris,France
, - Liang Dashuang
Vision Intelligence Center of Meituan,China
, - Zhang Guanghao
Vision Intelligence Center of Meituan,China
, - Hao Zhanlong
Vision Intelligence Center of Meituan,China
, - Liu Junfu
Vision Intelligence Center of Meituan,China
, - Jin Yufeng
Vision Intelligence Center of Meituan,China
, - Samo Liu
FaceMe,Taiwan
, - Samuel Huang
FaceMe,Taiwan
, - Salieri Kuei
CLFM,Taiwan
, - Jag Mohan Singh
Norwegian University of Science and Technology,Gjøvik,Norway
, - Raghavendra Ramachandra
Norwegian University of Science and Technology,Gjøvik,Norway
2021 IEEE International Joint Conference on Biometrics (IJCB)•August 2021, pp 1-10• https://doi.org/10.1109/IJCB52358.2021.9484359Liveness Detection (LivDet)-Face is an international competition series open to academia and industry. The competition’s objective is to assess and report state-of-the-art in liveness / Presentation Attack Detection (PAD) for face recognition. ...
- 0Citation
MetricsTotal Citations0
- Sandip Purnapatra
- research-articlePublished By ACMPublished By ACM
Scheduling Continuous Operators for IoT Edge Analytics
- Patient Ntumba
Inria Paris, France
, - Nikolaos Georgantas
Inria Paris, France
, - Vassilis Christophides
ENSEA, ETIS, France
EdgeSys '21: Proceedings of the 4th International Workshop on Edge Systems, Analytics and Networking•April 2021, pp 55-60• https://doi.org/10.1145/3434770.3459738In this paper we are interested in exploring the Edge-Fog-Cloud architecture as an alternative approach to the Cloud-based IoT data analytics. Given the limitations of Fog in terms of limited computational resources that can also be shared among ...
- 3Citation
- 200
- Downloads
MetricsTotal Citations3Total Downloads200Last 12 Months13
- Patient Ntumba
- research-articlePublished By ACMPublished By ACM
An Overview of End-to-End Entity Resolution for Big Data
- Vassilis Christophides
ENSEA, ETIS Lab, Cergy France
, - Vasilis Efthymiou
IBM Research, USA
, - Themis Palpanas
Université de Paris and French University Institute (IUF), Paris, France
, - George Papadakis
National and Kapodistrian University of Athens, Panepistimioupolis, Ilissia, Athens, Greece
, - Kostas Stefanidis
Tampere University, Kalevantie, Tampere, Finland
ACM Computing Surveys, Volume 53, Issue 6•November 2021, Article No.: 127, pp 1-42 • https://doi.org/10.1145/3418896One of the most critical tasks for improving data quality and increasing the reliability of data analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to the same real-world entity. Despite several decades of ...
- 114Citation
- 2,858
- Downloads
MetricsTotal Citations114Total Downloads2,858Last 12 Months503Last 6 weeks56
- Vassilis Christophides
- article
A greedy feature selection algorithm for Big Data of high dimensionality
- Ioannis Tsamardinos
Computer Science Department, University of Crete, Heraklion, Greece and Gnosis Data Analysis PC, Heraklion, Greece
, - Giorgos Borboudakis
Computer Science Department, University of Crete, Heraklion, Greece
, - Pavlos Katsogridakis
Computer Science Department, University of Crete, Heraklion, Greece and Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Greece
, - Polyvios Pratikakis
Computer Science Department, University of Crete, Heraklion, Greece and Institute of Computer Science, Foundation for Research and Technology - Hellas, Heraklion, Greece
, - Vassilis Christophides
Computer Science Department, University of Crete, Heraklion, Greece and INRIA, Paris, France
Machine Language, Volume 108, Issue 2•Feb 2019, pp 149-202 • https://doi.org/10.1007/s10994-018-5748-7We present the Parallel, Forward---Backward with Pruning (PFBP) algorithm for feature selection (FS) for Big Data of high dimensionality. PFBP partitions the data matrix both in terms of rows as well as columns. By employing the concepts of p-values of ...
- 12Citation
MetricsTotal Citations12
- Ioannis Tsamardinos
- short-paperfreePublished By ACMPublished By ACM
A practical method for measuring Web above-the-fold time
- Diego da Hora
Telecom ParisTech
, - Dario Rossi
Telecom ParisTech
, - Vassilis Christophides
INRIA
, - Renata Teixeira
INRIA
SIGCOMM '18: Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos•August 2018, pp 105-107• https://doi.org/10.1145/3234200.3234221Page load time (PLT) is still the most common application Quality of Service (QoS) metric to estimate the Quality of Experience (QoE) of Web users. Yet, recent literature abounds with interesting proposals for alternative metrics (e.g., Above The Fold, ...
- 6Citation
- 568
- Downloads
MetricsTotal Citations6Total Downloads568Last 12 Months108Last 6 weeks23
- Diego da Hora
- Article
Matching Web Tables with Knowledge Base Entities: From Entity Lookups to Entity Embeddings
- Vasilis Efthymiou
ICS-FORTH & University of Crete, Heraklion, Greece
, - Oktie Hassanzadeh
IBM Research, New York, USA
, - Mariano Rodriguez-Muro
IBM Research, New York, USA
, - Vassilis Christophides
INRIA Paris-Rocquencourt, Paris, France
The Semantic Web – ISWC 2017•October 2017, pp 260-277• https://doi.org/10.1007/978-3-319-68288-4_16AbstractWeb tables constitute valuable sources of information for various applications, ranging from Web search to Knowledge Base (KB) augmentation. An underlying common requirement is to annotate the rows of Web tables with semantically rich descriptions ...
- 10Citation
MetricsTotal Citations10
- Vasilis Efthymiou
- research-articlefreePublished By ACMPublished By ACM
Towards a causal analysis of Video QoE from Network and Application QoS
- Michalis Katsarakis
INRIA
, - Renata Cruz Teixeira
INRIA
, - Maria Papadopouli
Institute of Computer Science-FORTH
, - Vassilis Christophides
INRIA
Internet-QoE '16: Proceedings of the 2016 workshop on QoE-based Analysis and Management of Data Communication Networks•August 2016, pp 31-36• https://doi.org/10.1145/2940136.2940142The relationship between the user perceived Quality of Experience (QoE) with Internet applications and the Quality of Service (QoS) of the underlying network and applications is complex. Unveiling statistical relations between QoE and QoS can boost the ...
- 12Citation
- 737
- Downloads
MetricsTotal Citations12Total Downloads737Last 12 Months94Last 6 weeks11
- Michalis Katsarakis
- research-articlePublished By ACMPublished By ACM
Algebraic Structures for Capturing the Provenance of SPARQL Queries
- Floris Geerts
University of Antwerp, Antwerp, Belgium
, - Thomas Unger
University College Dublin, Dublin, Ireland
, - Grigoris Karvounarakis
LogicBlox, GA, USA
, - Irini Fundulaki
ICS-FORTH, Heraklion, Greece
, - Vassilis Christophides
Inria Paris-Rocquencourt, Paris, France
Journal of the ACM, Volume 63, Issue 1•March 2016, Article No.: 7, pp 1-63 • https://doi.org/10.1145/2810037The evaluation of SPARQL algebra queries on various kinds of annotated RDF graphs can be seen as a particular case of the evaluation of these queries on RDF graphs annotated with elements of so-called spm-semirings. Spm-semirings extend semirings, used ...
- 20Citation
- 442
- Downloads
MetricsTotal Citations20Total Downloads442Last 12 Months30Last 6 weeks1
- Floris Geerts
- Article
Big data entity resolution: From highly to somehow similar entity descriptions in the Web
- Vasilis Efthymiou
University of Crete, Greece
, - Kostas Stefanidis
ICS-FORTH, Greece
, - Vassilis Christophides
University of Crete, Greece
BIG DATA '15: Proceedings of the 2015 IEEE International Conference on Big Data (Big Data)•October 2015, pp 401-410• https://doi.org/10.1109/BigData.2015.7363781In the Web of data, entities are described by interlinked data rather than documents on the Web. In this work, we focus on entity resolution in the Web of data, i.e., identifying descriptions that refer to the same real-world entity. To reduce the ...
- 3Citation
MetricsTotal Citations3
- Vasilis Efthymiou
- research-articlePublished By ACMPublished By ACM
Querying Temporal Drifts at Multiple Granularities
- Sofia Kleisarchaki
LIG, Grenoble, France
, - Sihem Amer-Yahia
CNRS, LIG, Grenoble, France
, - Ahlame Douzal-Chouakria
LIG, Grenoble, France
, - Vassilis Christophides
CSD, UoC, Greece & INRIA, Paris-Rocquencourt, France, France
CIKM '15: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management•October 2015, pp 1531-1540• https://doi.org/10.1145/2806416.2806436There exists a large body of work on online drift detection with the goal of dynamically finding and maintaining changes in data streams. In this paper, we adopt a query-based approach to drift detection. Our approach relies on a drift index, a ...
- 3Citation
- 119
- Downloads
MetricsTotal Citations3Total Downloads119Last 12 Months2Last 6 weeks1
- Sofia Kleisarchaki
Entity Resolution in the Web of Data
In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-...
- 12Citation
MetricsTotal Citations12
- columnPublished By ACMPublished By ACM
Report on the First International Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014)
- Vassilis Christophides
R&I Center, Technicolor, France
, - Themis Palpanas
Paris Descartes University, France
ACM SIGMOD Record, Volume 44, Issue 1•March 2015, pp 52-55 • https://doi.org/10.1145/2783888.2783905- 2Citation
- 135
- Downloads
MetricsTotal Citations2Total Downloads135Last 12 Months1
- Vassilis Christophides
- demonstrationPublished By ACMPublished By ACM
MeowsReader: Real-Time Ranking and Filtering of News with Generalized Continuous Top-k Queries
- Nelly Vouzoukidou
Pierre et Marie Curie University, Paris, France
, - Bernd Amann
Pierre et Marie Curie University, Paris, France
, - Vassilis Christophides
R&I Center, Technicolor, Paris, France
CIKM '14: Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management•November 2014, pp 2066-2068• https://doi.org/10.1145/2661829.2661851This demonstration presents MeowsReader, a real-time news ranking and filtering prototype. MeowsReader illustrates how a general class of continuous top-k queries offers a suitable abstraction for modeling and implementing real-time search services over ...
- 0Citation
- 108
- Downloads
MetricsTotal Citations0Total Downloads108Last 12 Months1
- Nelly Vouzoukidou
Author Profile Pages
- Description: The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM bibliographic database, the Guide. Coverage of ACM publications is comprehensive from the 1950's. Coverage of other publishers generally starts in the mid 1980's. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community.
Please see the following 2007 Turing Award winners' profiles as examples: - History: Disambiguation of author names is of course required for precise identification of all the works, and only those works, by a unique individual. Of equal importance to ACM, author name normalization is also one critical prerequisite to building accurate citation and download statistics. For the past several years, ACM has worked to normalize author names, expand reference capture, and gather detailed usage statistics, all intended to provide the community with a robust set of publication metrics. The Author Profile Pages reveal the first result of these efforts.
- Normalization: ACM uses normalization algorithms to weigh several types of evidence for merging and splitting names.
These include:- co-authors: if we have two names and cannot disambiguate them based on name alone, then we see if they have a co-author in common. If so, this weighs towards the two names being the same person.
- affiliations: names in common with same affiliation weighs toward the two names being the same person.
- publication title: names in common whose works are published in same journal weighs toward the two names being the same person.
- keywords: names in common whose works address the same subject matter as determined from title and keywords, weigh toward being the same person.
The more conservative the merging algorithms, the more bits of evidence are required before a merge is made, resulting in greater precision but lower recall of works for a given Author Profile. Many bibliographic records have only author initials. Many names lack affiliations. With very common family names, typical in Asia, more liberal algorithms result in mistaken merges.
Automatic normalization of author names is not exact. Hence it is clear that manual intervention based on human knowledge is required to perfect algorithmic results. ACM is meeting this challenge, continuing to work to improve the automated merges by tweaking the weighting of the evidence in light of experience.
- Bibliometrics: In 1926, Alfred Lotka formulated his power law (known as Lotka's Law) describing the frequency of publication by authors in a given field. According to this bibliometric law of scientific productivity, only a very small percentage (~6%) of authors in a field will produce more than 10 articles while the majority (perhaps 60%) will have but a single article published. With ACM's first cut at author name normalization in place, the distribution of our authors with 1, 2, 3..n publications does not match Lotka's Law precisely, but neither is the distribution curve far off. For a definition of ACM's first set of publication statistics, see Bibliometrics
- Future Direction:
The initial release of the Author Edit Screen is open to anyone in the community with an ACM account, but it is limited to personal information. An author's photograph, a Home Page URL, and an email may be added, deleted or edited. Changes are reviewed before they are made available on the live site.
ACM will expand this edit facility to accommodate more types of data and facilitate ease of community participation with appropriate safeguards. In particular, authors or members of the community will be able to indicate works in their profile that do not belong there and merge others that do belong but are currently missing.
A direct search interface for Author Profiles will be built.
An institutional view of works emerging from their faculty and researchers will be provided along with a relevant set of metrics.
It is possible, too, that the Author Profile page may evolve to allow interested authors to upload unpublished professional materials to an area available for search and free educational use, but distinct from the ACM Digital Library proper. It is hard to predict what shape such an area for user-generated content may take, but it carries interesting potential for input from the community.
Bibliometrics
The ACM DL is a comprehensive repository of publications from the entire field of computing.
It is ACM's intention to make the derivation of any publication statistics it generates clear to the user.
- Average citations per article = The total Citation Count divided by the total Publication Count.
- Citation Count = cumulative total number of times all authored works by this author were cited by other works within ACM's bibliographic database. Almost all reference lists in articles published by ACM have been captured. References lists from other publishers are less well-represented in the database. Unresolved references are not included in the Citation Count. The Citation Count is citations TO any type of work, but the references counted are only FROM journal and proceedings articles. Reference lists from books, dissertations, and technical reports have not generally been captured in the database. (Citation Counts for individual works are displayed with the individual record listed on the Author Page.)
- Publication Count = all works of any genre within the universe of ACM's bibliographic database of computing literature of which this person was an author. Works where the person has role as editor, advisor, chair, etc. are listed on the page but are not part of the Publication Count.
- Publication Years = the span from the earliest year of publication on a work by this author to the most recent year of publication of a work by this author captured within the ACM bibliographic database of computing literature (The ACM Guide to Computing Literature, also known as "the Guide".
- Available for download = the total number of works by this author whose full texts may be downloaded from an ACM full-text article server. Downloads from external full-text sources linked to from within the ACM bibliographic space are not counted as 'available for download'.
- Average downloads per article = The total number of cumulative downloads divided by the number of articles (including multimedia objects) available for download from ACM's servers.
- Downloads (cumulative) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server since the downloads were first counted in May 2003. The counts displayed are updated monthly and are therefore 0-31 days behind the current date. Robotic activity is scrubbed from the download statistics.
- Downloads (12 months) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 12-month period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (12-month download counts for individual works are displayed with the individual record.)
- Downloads (6 weeks) = The cumulative number of times all works by this author have been downloaded from an ACM full-text article server over the last 6-week period for which statistics are available. The counts displayed are usually 1-2 weeks behind the current date. (6-week download counts for individual works are displayed with the individual record.)
ACM Author-Izer Service
Summary Description
ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.
Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.
ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.
To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.
How ACM Author-Izer Works
Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.
The Service can be applied to all the articles you have ever published with ACM.
Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.
For authors who do not have a free ACM Web Account:
- Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.
For authors who have an ACM web account, but have not edited their ACM Author Profile page:
- Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.
For authors who have an account and have already edited their Profile Page:
- Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"
ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.
Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.
FAQ
- Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
- Q. What articles are eligible for ACM Author-Izer?
- A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.
- Q. Are there any restrictions on authors to use this service?
- A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.
- Q. What are the requirements to use this service?
- A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.
- Q. What is an ACM Author Profile Page?
- A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.
- Q. How do I find my Author Profile page and take ownership?
- A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours
- Q. Why does my photo not appear?
- A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters
- Q. What if I cannot find the Add Personal Information function on my author page?
- A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.
- Q. What happens if an author changes the location of his bibliography or moves to a new institution?
- A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.
- Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
- A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.
However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.
- Q. What happens if the author’s bibliography lives on a page with several aliases?
- A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.
- Q. Why should authors use ACM Author-Izer?
- A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.
- Q. Does ACM Author-Izer provide benefits for authors?
- A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.
Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.
- Q. How does ACM Author-Izer benefit the computing community?
- A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.
In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.
- Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
- A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.
- Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
- A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner