Chetan K Gupta
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- Umeshwar Dayal (12)
- Abhay Mehta (11)
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- Mo Liu (6)
- Daniel Joseph Dougherty (4)
- Malú G Castellanos (4)
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- Krishnamurthy Viswanathan (2)
- Ming C Hao (2)
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- Umesh Dayal (2)
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Proceedings/Book Names
- Algorithms to identify clusters and outliers based on dyadic decomposition with applications to streams (1)
- CEC '09: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing (1)
- DMSN '10: Proceedings of the Seventh International Workshop on Data Management for Sensor Networks (1)
- DNIS'11: Proceedings of the 7th international conference on Databases in Networked Information Systems (1)
- EDBT '08: Proceedings of the 11th international conference on Extending database technology: Advances in database technology (1)
- EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (1)
- EDBT '10: Proceedings of the 2010 EDBT/ICDT Workshops (1)
- EDBT '12: Proceedings of the 15th International Conference on Extending Database Technology (1)
- EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology (1)
- ICAC '08: Proceedings of the 2008 International Conference on Autonomic Computing (1)
- ICAC '12: Proceedings of the 9th international conference on Autonomic computing (1)
- ICDE '09: Proceedings of the 2009 IEEE International Conference on Data Engineering (1)
- ICDE '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering (1)
- ICDEW '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering Workshops (1)
- ICDM'07: Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications (1)
- SensorKDD '11: Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data (1)
- SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data (1)
- SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data (1)
- SSDBM 2009: Proceedings of the 21st International Conference on Scientific and Statistical Database Management (1)
- UrbComp '12: Proceedings of the ACM SIGKDD International Workshop on Urban Computing (1)
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- research-article
Published By ACM
Published By ACM
High-performance complex event processing using continuous sliding views
Medhabi Ray
Worcester Polytechnic Institute
,Elke A. Rundensteiner
Worcester Polytechnic Institute
,Mo Liu
Worcester Polytechnic Institute
,Chetan Gupta
HP Labs
,Song Wang
HP Labs
,Ismail Ari
Ozyegin University, Turkey
EDBT '13: Proceedings of the 16th International Conference on Extending Database Technology•March 2013, pp 525-536• https://doi.org/10.1145/2452376.2452437Complex Event Processing (CEP) has become increasingly important for tracking and monitoring anomalies and trends in event streams emitted from business processes such as supply chain management to online stores in e-commerce. These monitoring ...
- 9Citation
- 239
- Downloads
MetricsTotal Citations9Total Downloads239
- Article
Of cubes, DAGs and hierarchical correlations: a novel conceptual model for analyzing social media data
Umeshwar Dayal
Hewlett Packard Labs
,Chetan Gupta
Hewlett Packard Labs
,Malu Castellanos
Hewlett Packard Labs
,Song Wang
Hewlett Packard Labs
,Manolo Garcia-Solaco
Hewlett Packard Labs
ER'12: Proceedings of the 31st international conference on Conceptual Modeling•October 2012, pp 30-49• https://doi.org/10.1007/978-3-642-34002-4_3With the advent of social media there is an ever increasing amount of unstructured data that can be analyzed to obtain insights. Two prominent examples are sentiment analysis and the discovery of correlated concepts. A convenient representation of ...
- 3Citation
MetricsTotal Citations3
- short-paper
Published By ACM
Published By ACM
Event correlation for operations management of largescale IT systems
Chetan Gupta
Hewlett Packard Labs, Palo Alto, CA, USA
ICAC '12: Proceedings of the 9th international conference on Autonomic computing•September 2012, pp 91-96• https://doi.org/10.1145/2371536.2371552In large scale systems IT systems, for the purpose of management, we have what are known as "Networked Operations Centers" or NOCs. These NOCs are manned by support staff, known as operators. Data in the form of events from various sub-systems in the ...
- 2Citation
- 209
- Downloads
MetricsTotal Citations2Total Downloads209Last 12 Months1
- research-article
Published By ACM
Published By ACM
Mining traffic incidents to forecast impact
Mahalia Miller
Stanford University
,Chetan Gupta
Hewlett Packard Labs
UrbComp '12: Proceedings of the ACM SIGKDD International Workshop on Urban Computing•August 2012, pp 33-40• https://doi.org/10.1145/2346496.2346502Using sensor data from fixed highway traffic detectors, as well as data from highway patrol logs and local weather stations, we aim to answer the domain problem: "A traffic incident just occurred. How severe will its impact be?" In this paper we show a ...
- 28Citation
- 530
- Downloads
MetricsTotal Citations28Total Downloads530Last 12 Months13Last 6 weeks2
- Article
Optimizing flows for real time operations management
Alkis Simitsis
HP Labs, Palo Alto, CA
,Chetan Gupta
HP Labs, Palo Alto, CA
,Kevin Wilkinson
HP Labs, Palo Alto, CA
,Umeshwar Dayal
HP Labs, Palo Alto, CA
SSDBM'12: Proceedings of the 24th international conference on Scientific and Statistical Database Management•June 2012, pp 607-612• https://doi.org/10.1007/978-3-642-31235-9_44Modern data analytic flows involve complex data computations that may span multiple execution engines and need to be optimized for a variety of objectives like performance, fault-tolerance, freshness, and so on. In this paper, we present optimization ...
- 0Citation
MetricsTotal Citations0
- demonstration
Published By ACM
Published By ACM
Realtime healthcare services via nested complex event processing technology
Mo Liu
Worcester Polytechnic Institute, Worcester, MA
,Medhabi Ray
Worcester Polytechnic Institute, Worcester, MA
,Dazhi Zhang
Worcester Polytechnic Institute, Worcester, MA
,Elke A. Rundensteiner
Worcester Polytechnic Institute, Worcester, MA
,Daniel J. Dougherty
Worcester Polytechnic Institute, Worcester, MA
,Chetan Gupta
USA Hewlett-Packard Labs
,Song Wang
USA Hewlett-Packard Labs
,Ismail Ari
Ozyegin University, Turkey
EDBT '12: Proceedings of the 15th International Conference on Extending Database Technology•March 2012, pp 622-625• https://doi.org/10.1145/2247596.2247681Complex Event Processing (CEP) over event streams has become increasingly important for real-time applications ranging from healthcare to supply chain management. In such applications, arbitrarily complex sequence patterns as well as non existence of ...
- 5Citation
- 189
- Downloads
MetricsTotal Citations5Total Downloads189Last 12 Months2
- article
A platform for situational awareness in operational BI
Decision Support Systems, Volume 52, Issue 4•March, 2012, pp 869-883 • https://doi.org/10.1016/j.dss.2011.11.011Enterprises are being swamped with data, and much of it is unstructured in origin. As these data volumes for unstructured data increase, there is a need to extract more value from them. For the purpose of gaining business insight, besides traditional ...
- 7Citation
MetricsTotal Citations7
- research-article
An application of sensor and streaming analytics to oil production
Krishnamurthy Viswanathan
Hewlett Packard Labs
,Chetan Gupta
Hewlett Packard Labs
,Choudur Lakshminarayan
Hewlett Packard Labs
,Ming Hao
Hewlett Packard Labs
,Umeshwar Dayal
Hewlett Packard Labs
,Ravigopal Vennelakanti
Hewlett Packard Enterprise Business
,Paul Helm
Hewlett Packard Enterprise Business
,Sumitha Rangaiah
Hewlett Packard Enterprise Business
,Harikrishnam-Raju Sagiraju
Hewlett Packard Enterprise Business
,Sunil Doddmani
Hewlett Packard Enterprise Business
COMAD '11: Proceedings of the 17th International Conference on Management of Data•December 2011, Article No.: 18, pp 1-8At HP Labs, we are building "Live Operational Intelligence (Live OI) System" -- a system that ingests streams of operational data generated by multiple sources such as sensors and operational logs, and provides the operational staff real time insights ...
- 0Citation
- 39
- Downloads
MetricsTotal Citations0Total Downloads39
- Article
Live BI: a framework for real time operations management
Chetan Gupta
Hewlett Packard Laboratories, Palo Alto, CA
,Umeshwar Dayal
Hewlett Packard Laboratories, Palo Alto, CA
,Song Wang
Hewlett Packard Laboratories, Palo Alto, CA
,Abhay Mehta
Hewlett Packard Laboratories, Palo Alto, CA
DNIS'11: Proceedings of the 7th international conference on Databases in Networked Information Systems•December 2011, pp 270-285• https://doi.org/10.1007/978-3-642-25731-5_21The increasing instrumentation of real world physical systems provides an opportunity for real time operations management for the purpose of efficient management of large complex systems. Real time operations management solutions for such large, complex ...
- 0Citation
MetricsTotal Citations0
- research-article
Published By ACM
Published By ACM
Better drilling through sensor analytics: a case study in live operational intelligence
Chetan Gupta
HP Labs
,Krishnamurthy Viswanathan
HP Labs
,Lakshminarayan Choudur
HP Labs
,Ming Hao
HP Labs
,Umeshwar Dayal
HP Labs
,Ravigopal Vennelakanti
HP Enterprise Business
,Paul Helm
HP Enterprise Business
,Anil Dev
HP Enterprise Business
,Sunil Manjunath
HP Enterprise Business
,Sastry Dhulipala
HP Enterprise Business
,Sangamesh Bellad
HP Enterprise Business
SensorKDD '11: Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data•August 2011, pp 8-15• https://doi.org/10.1145/2003653.2003654In this paper, we present our Live Operational Intelligence (LOI) framework for developing, deploying, and executing applications that mine and analyze large amounts of data collected from multiple data sources to help operations staff take more ...
- 3Citation
- 353
- Downloads
MetricsTotal Citations3Total Downloads353Last 12 Months1
- research-article
Published By ACM
Published By ACM
E-Cube: multi-dimensional event sequence analysis using hierarchical pattern query sharing
Mo Liu
Worcester Polytechnic Institute, Worcester, MA, USA
,Elke Rundensteiner
Worcester Polytechnic Institute, Worcester, MA, USA
,Kara Greenfield
Worcester Polytechnic Institute, Worcester, MA, USA
,Chetan Gupta
Hewlett-Packard Labs, Palo Alto, CA, USA
,Song Wang
Hewlett-Packard Labs, Palo Alto, CA, USA
,Ismail Ari
Ozyegin University, Istanbul, Turkey
,Abhay Mehta
Hewlett-Packard Labs, Austin, TX, USA
SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data•June 2011, pp 889-900• https://doi.org/10.1145/1989323.1989416Many modern applications, including online financial feeds, tag-based mass transit systems and RFID-based supply chain management systems transmit real-time data streams. There is a need for event stream processing technology to analyze this vast amount ...
- 52Citation
- 930
- Downloads
MetricsTotal Citations52Total Downloads930Last 12 Months22Last 6 weeks4
- Article
Optimizing complex sequence pattern extraction using caching
Medhabi Ray
Computer Science Department, Worcester Polytechnic Institute, USA
,Mo Liu
Hewlett Packard Innovation Research Laboratories, USA
,Elke Rundensteiner
Computer Science Department, Worcester Polytechnic Institute, USA
,Daniel J. Dougherty
Computer Science Department, Worcester Polytechnic Institute, USA
,Chetan Gupta
Hewlett Packard Innovation Research Laboratories, USA
,Song Wang
Hewlett Packard Innovation Research Laboratories, USA
,Abhay Mehta
Hewlett Packard Innovation Research Laboratories, USA
,Ismail Ari
Ozyegin University, Turkey
ICDEW '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering Workshops•April 2011, pp 243-248• https://doi.org/10.1109/ICDEW.2011.5767641Complex Event Processing (CEP) has become increasingly important for tracking and monitoring complex event anomalies and trends in event streams emitted from business processes such as supply chain management to online stores in e-commerce. These ...
- 0Citation
MetricsTotal Citations0
- Article
High-performance nested CEP query processing over event streams
Mo Liu
Worcester Polytechnic Institute, USA
,Elke Rundensteiner
Worcester Polytechnic Institute, USA
,Dan Dougherty
Worcester Polytechnic Institute, USA
,Chetan Gupta
Hewlett-Packard Labs, USA
,Song Wang
Hewlett-Packard Labs, USA
,Ismail Ari
Ozyegin University, Turkey
,Abhay Mehta
Hewlett-Packard Labs, USA
ICDE '11: Proceedings of the 2011 IEEE 27th International Conference on Data Engineering•April 2011, pp 123-134• https://doi.org/10.1109/ICDE.2011.5767839Complex event processing (CEP) over event streams has become increasingly important for real-time applications ranging from health care, supply chain management to business intelligence. These monitoring applications submit complex queries to track ...
- 15Citation
MetricsTotal Citations15
- research-article
Published By ACM
Published By ACM
Processing nested complex sequence pattern queries over event streams
Mo Liu
Worcester Polytechnic Institute, Worcester, MA
,Medhabi Ray
Worcester Polytechnic Institute, Worcester, MA
,Elke A. Rundensteiner
Worcester Polytechnic Institute, Worcester, MA
,Daniel J. Dougherty
Worcester Polytechnic Institute, Worcester, MA
,Chetan Gupta
USA Hewlett-Packard Labs
,Song Wang
USA Hewlett-Packard Labs
,Ismail Ari
Ozyegin University, Turkey
,Abhay Mehta
USA Hewlett-Packard Labs
DMSN '10: Proceedings of the Seventh International Workshop on Data Management for Sensor Networks•September 2010, pp 14-19• https://doi.org/10.1145/1858158.1858164Complex event processing (CEP) has become increasingly important for tracking and monitoring applications ranging from health care, supply chain management to surveillance. These monitoring applications submit complex event queries to track sequences of ...
- 10Citation
- 259
- Downloads
MetricsTotal Citations10Total Downloads259Last 12 Months6Last 6 weeks1
- research-article
Published By ACM
Published By ACM
SIE-OBI: a streaming information extraction platform for operational business intelligence
Malu Castellanos
HP Labs, Palo Alto, CA, USA
,Song Wang
HP Labs, Austin, TX, USA
,Umeshwar Dayal
HP Labs, Palo Alto, CA, USA
,Chetan Gupta
HP Labs, Austin, TX, USA
SIGMOD '10: Proceedings of the 2010 ACM SIGMOD International Conference on Management of data•June 2010, pp 1105-1110• https://doi.org/10.1145/1807167.1807292Emerging business intelligence (BI) applications aim to provide situational awareness, i.e., information about real-world events that might affect the business operations of an enterprise. For instance, an enterprise might want to know whether customers ...
- 11Citation
- 562
- Downloads
MetricsTotal Citations11Total Downloads562Last 12 Months5Last 6 weeks1
- research-article
Published By ACM
Published By ACM
Leveraging web streams for contractual situational awareness in operational BI
Malu Castellanos
HP Labs, Palo Alto, CA
,Chetan Gupta
HP Labs, Austin, TX
,Song Wang
HP Labs, Austin, TX
,Umeshwar Dayal
HP Labs, Palo Alto, CA
EDBT '10: Proceedings of the 2010 EDBT/ICDT Workshops•March 2010, Article No.: 7, pp 1-8• https://doi.org/10.1145/1754239.1754248The capability of correlating streaming web data with internal data in near real time gives enterprises a tremendous competitive advantage by enabling them to be aware of external events that can affect their business operations. This situational ...
- 12Citation
- 226
- Downloads
MetricsTotal Citations12Total Downloads226
- Article
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications
CEC '09: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing•July 2009, pp 33-40• https://doi.org/10.1109/CEC.2009.74In this paper, we describe the design of our architecture for Continuous, Heterogeneous Analysis Over Streams, aka CHAOS that combines stream processing, approximation techniques, mining, complex event processing and visualization. CHAOS, with the novel ...
- 16Citation
MetricsTotal Citations16
- Article
Classification with Unknown Classes
Chetan Gupta
Hewlett-Packard Labs,
,Song Wang
Hewlett-Packard Labs,
,Umeshwar Dayal
Hewlett-Packard Labs,
,Abhay Mehta
Hewlett-Packard Labs,
SSDBM 2009: Proceedings of the 21st International Conference on Scientific and Statistical Database Management•June 2009, pp 479-496• https://doi.org/10.1007/978-3-642-02279-1_35Given a data set D, such that (<em>X</em> <em>i</em> ,<em>y</em> <em>i</em> ) *** <em>D</em> , <em>y</em> <em>i</em> *** ***, we are interested in first dividing the range of <em>y</em> <em>i</em> , i.e. (<em>y</em> <em>max</em> *** <em>y</em> ...
- 1Citation
MetricsTotal Citations1
- Article
rFEED: A Mixed Workload Scheduler for Enterprise Data Warehouses
ICDE '09: Proceedings of the 2009 IEEE International Conference on Data Engineering•March 2009, pp 1455-1458• https://doi.org/10.1109/ICDE.2009.66A typical online Business Intelligence (BI) workload consists of a combination of short, less intensive queries, along with long, resource intensive queries. As such, the longest queries in a typical BI workload may take several orders of magnitude more ...
- 2Citation
MetricsTotal Citations2
- research-articlefree
Published By ACM
Published By ACM
Fair, effective, efficient and differentiated scheduling in an enterprise data warehouse
Chetan Gupta
Hewlett-Packard Labs
,Abhay Mehta
Hewlett-Packard Labs
,Song Wang
Hewlett-Packard Labs
,Umesh Dayal
Hewlett-Packard Labs
EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology•March 2009, pp 696-707• https://doi.org/10.1145/1516360.1516441A typical online Business Intelligence (BI) workload consists of a combination of short, less intensive queries, along with long, resource intensive queries. As such, the longest queries in a typical BI workload may take several orders of magnitude more ...
- 14Citation
- 473
- Downloads
MetricsTotal Citations14Total Downloads473Last 12 Months91Last 6 weeks4
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".
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- 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.
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- Create a free ACM Web Account
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- Find your Author Profile Page by searching the ACM Digital Library for your name
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- 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