The workshop "NLP in the Enterprise: Envisioining the next 10 years" (PLN-E) will be held in Valencia (Spain), as a satellite workshop of SEPLN 2010, on September 6-7, 2010.
PLN-E aims to become a meeting point among academic researchers and companies interested on technologies all along Natural Language Processing and other related technologies like text mining, information retrieval, opinion mining, etc.
TOPICS OF INTEREST
================
We aim the submission of works that shows how NLP can help enterprises to solve problems, or develop new products and services. We expect 3 different types of works:
* (Academic/enterprise) Research works at early stages but with a clear orientation to enterprise applications (products/services)
* Works showing how a certain or several NLP technologies have been successfully used to solve a certain problem (such as developing a new product/service)
* Works from companies explaining certain problems that can not be solved with the actual state of the art on NLP.
Topics of interest include, but are not limited to, the next topics:
A) New NLP Technologies with a clear Application in the Enterprise
1. Opinion Mining and Sentiment Analysis
2. Monolingual and Multilingual Information Systems
3. Voice Question-Answering Systems
4. Social Intelligent Systems
5. Plagiarism Detection and Systems for Detecting Confidential Information
6. Recommender Systems
7. Illicit contents/Crimes Detection Systems
B) New Application Domains
1. Social Media
2. Mobile Devices
3. Videoconsoles and TDT
4. Virtual Worlds and Massive Multiplayer Games
C) Business Aspects of NLP
1. New Business Models
2. Unsolved Problems
3. Scalability and Performance of NLP Technologies
4. Production Environments for NLP Systems
5. Real-World Datasets Descriptions
6. Demands and Market Needs
DATES
=================
* Deadline [extended]: 28 June 2010
* Acceptance: 15 July 2010
* Camera due: 15 August 2010
* Workshop: 6/7 eptember 2010
ORGANIZING COMMITTEE
==================
* Jose Carlos Cortizo (BrainSins, Universidad Europea de Madrid) - contact person (josecarlos.cortizo@wipley.com)
* Jose Maria Gomez (Optenet)
* Francisco Manuel Rangel (Corex)
* Victor Peinado (MAVIR)
* Hugo Zaragoza (Yahoo! Research)
* Francisco Manuel Carrero (BrainSins, Universidad Europea de Madrid)
PROGRAM COMMITTEE
==================
* Rodrigo Agerri (Vicomtech Research Centre)
* Matxalen Alfaro (Sarenet)
* Claudio Baccigalupo (VLEX)
* Sergio Berna (ExperienceOn)
* Enric Castellon (Thera)
* Juan Manuel Cigarran (UNED, Consorcio MAVIR)
* Jesus Contreras (ISOCO)
* Javier Cuervo (Redepyme, EOI)
* Luis Ignacio Diaz (Acciona I+D)
* Jose Gregorio Escalada (Telefonica I+D)
* Diego Exposito (Answare Technologies)
* Angel Faus (VLEX)
* Jorge Garcia Betanzos (Sarenet)
* Ricardo Farreres (Thera)
* Anabel Fraga (UC3M/REUSE)
* Juan Antonio Garrido (i2factory)
* Galo Gimenez (HP)
* Francisco Gomez Molinero (Visual Tools)
* Jose Carlos Gonzalez (Daedalus)
* Carlos Gonzalez (ExperienceOn)
* Alberto Gragera (Tuenti)
* Francesc Grau (Conzentra)
* Carlos Lamas (T-Systems Iberia)
* Didac Lee (Inspirit, Spamina)
* Juan Llorens (UC3M/REUSE)
* Miguel Lucas (Acteo Soluciones)
* Diego Martin (Stratebi Business Solutions)
* Javier Martin (Loogic)
* Juan Carlos Martinez (Corex)
* Daniel Martinez (Indra Software Labs)
* Borja Monsalve (Social Gaming Platform)
* John Paul Moore (ATOS Research)
* Cesar de Pablo (UC3M, Consorcio MAVIR)
* Enrique Puertas (UEM, Consorcio MAVIR)
* Joaquin Rieta (TICSinergies)
* Federico Rodriguez (Stratebi Business Solutions)
* Miguel Angel Rodriguez (Telefonica I+D)
* Antonio Sanchez Valderrabanos (Bitext)
* Estela Saquete (UA, Consorcio MAVIR)
* Isabel Segura (UC3M, Consorcio MAVIR)
* Jim Shur (Strands)
* Jose Luis Suarez (Corex)
* Yaiza Temprado (Telefonica I+D)
* Marc Torrens (Strands)
* Paulo Villegas (Telefonica I+D)
* Pedro Vivancos (Vocali)
* David Zaragoza (Avanzis)
Deadline extension: Workshop NLP in the Enterprise: Envisioning the Next 10 Years
[CFP] SMUC 2010 Workshop @ CIKM 2010
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CALL FOR PAPERS
SMUC2010: 2nd International Workshop on Search and Mining User-generated Contents
http://labs.brainsins.com/events/smuc2010
Workshop at CIKM 2010 (http://www.yorku.ca/cikm10/)
October 30, 2010, Toronto, Canada
Submission deadline: 30 June, 2010
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SMUC10 aims to become a forum for researchers from several Information and Knowledge Management areas like data/text mining, information retrieval, semantics, etc. that apply their work into the fields of Social Media and Opinion/Sentiment Analysis where the main goal is to process user generated contents.
User generated content provides an excellent scenario to apply the metaphor of mining any kind of information. In a social media context, users create a huge amount of data where we can look for valuable nuggets of knowledge by applying several search techniques (information retrieval) or mining techniques (data mining, text mining, web mining, opinion mining, etc.). In this kind of data we can find both structured information (ratings, tags, links, etc.) and unstructured information (text, audio, video, etc.), and we must learn to combine existing techniques in order to take advantage of this heterogeneity while extracting useful knowledge.
TOPICS OF INTEREST
================
SMUC10 workshop is an extraordinary place where to present on-going works that exploit Social Media and/or use Opinion Mining technologies. Topics of interest include, but are not limited to:
A) Mining Social Media
Social networks analysis/mining
Tagging analysis/mining
Link and graphs analysis/mining
Community detection and evolution
Influence, trust and privacy analysis
Topic detection and trend discovery
Spamming and phishing detection
Wikipedia/Social Media vandalism
Social media monitoring/analysis
B) Opinion Mining and Sentiment Analysis
Opinion extraction, classification, summarization and visualization
Blogs analysis
Opinion flame
Temporal sentiment analysis
Cross-lingual/cross-domain sentiment analysis
Irony detection in opinion mining
Wish analysis
Product review analysis
C) Search in Social Media
Novel social search algorithms
Social ranking
Multi-entity/Multifaceted search
Multilingual and/or multimedia IR for Social Media
User Modeling and Personalization in Social Media
Architectures, scalability and efficiency
D) Other Social Intelligent Systems
Recommender systems
Semantic Social Media
Plagiarism detection
Market analysis
Cross-lingual/cross-domain social intelligent systems
Business Intelligence Applications (direct marketing, branding, etc.)
DATES
=================
* Submission: 30 June, 2010
* Notification of acceptance: 30 July, 2010
* Camera Ready: 15 August, 2010
* Workshop: 30 October, 2010
SUBMISSIONS
==================
Each contribution should not exceed the length of 8 pages, and must be prepared following ACM camera-ready template: http://www.acm.org/sigs/pubs/proceed/template.html
All papers must be submitted in Adobe Portable Document Format (PDF). Please ensure that any special fonts used are included in the submitted documents. Please use the following link to submit your paper: Easychair Submission System for SMUC 2010 http://www.easychair.org/conferences/?conf=smuc2010.
The workshop proceedings will be published as Eproceedings by the same publisher that publishes the CIKM main conference proceedings, and will be in the same CD that contains the CIKM'10 main conference Eproceedings.
We are actually on conversations with a couple of journals to organize a special issue with extended versions of selected papers. The information about this special issue will be published on the workshop's website.
ORGANIZING COMMITTEE
==================
* Jose C. Cortizo, BrainSins / European University of Madrid, Spain (contact person, josecarlos.cortizo@wipley.com)
* Francisco M. Carrero, BrainSins / European University of Madrid, Spain
* Ivan Cantador, Autonomous University of Madrid, Spain
* Jose A. Troyano, University of Seville, Spain
* Paolo Rosso, Technical University of Valencia, Spain
PROGRAM COMMITTEE
==================
[To be completed]
* Ahmed Abbasi (University of Wisconsin-Milwaukee, USA)
* Nitin Agarwal (University of Arkansas at Little Rock, USA)
* Enrique Amigo (National University of Distance Education, Spain)
* Ching-Man Au Yeung (NTT Communication Science Laboratories, Japan)
* Alexandra Balahur (Sapienza Università di Roma, Italy)
* Alberto Barrón (Technical University of Valencia, Spain)
* Dominik Benz (University of Kassel, Germany)
* Pushpak Bhattacharyya (IIT Bombay, India)
* Erik Cambria (University of Stirling, Scotland)
* Pablo Castells (Autonomous University of Madrid, Spain)
* Meeyoung Cha (Korea Advanced Institute of Science and Technology, Korea)
* Fermin Cruz (University of Seville, Spain)
* Victor Diaz (University of Seville, Spain)
* Viet Ha-Thuc (University of Iowa, USA)
* Akshay Java (MSN Microsoft, USA)
* Ralf Klamma (RWTH Aachen University, Germany)
* Zornitsa Kozareva (Information Sciences Institute at the University of Southern California, USA)
* Hady W. Lauw (Institute for Infocomm Research, Singapore)
* Luis Martin (BrainSins, Spain)
* Patricio Martinez-Barco (University of Alicante, Spain)
* Andres Montoyo (University of Alicante, Spain)
* Claudiu C. Musat (Politechnical University of Bucharest, Romania)
* Manuel Palomar (University of Alicante, Spain)
* Manos Papagelis (University of Toronto, Canada)
* Victor Peinado (National University of Distance Education, Spain)
* Isabella Peters (University of Duesseldorf, Germany)
* Martin Potthast (Bauhaus-Universität Weimar, Germany)
* Antonio Reyes (Technical University of Madrid, Spain)
* Horacio Rodriguez (Technical University of Catalonia, Spain)
* Efstathios Stamatatos (University of Aegean, Greece)
* Benno Stein (Bauhaus-Universität Weimar, Germany)
* Ralf Steinberger (European Commission, Joint Research Centre)
* Markus Strohmaier (Graz University of Technology, Austria)
* Jie Tang (Tsinghua University, China)
* Jordi Turmo (Technical University of Catalonia, Spain)
* Luis Alfonso Ureña (University of Jaen, Spain)
The Social Media Dataset
SGP's 1st Funding Round
Our main activity is the development of technologies and services in the Internet, focusing on Social Media and E-Commerce. We have developed a Recommender System that can be integrated within any website via a REST API, and we have also developed Wipley, a social network for videogamers where we have integrated our recommender system.
SGP has been founded by 3 engineers (Francisco Carrero, Borja Monsalve and myself), with a large experience on founding start-ups, and R&D projects. We have been part of 15 R&D projects, funded by several entities like European Commission or the Spanish R&P Plan.
We are ready to commercialize our products, and that's why we have been looking for funding the last months. We have estimated a funding need of €550K for the two first years. Until this moment we have been granted with a CDTI's PID project with a total amount of €350K and we have obtained 0ther €100K from FFF, so we only need extra €100K.
If you are interested on investing at our company, please, contact us at the following e-mail: francisco.carrero(a)wipley.com. We'll give you all the information you need in order to evaluate the investment.
Workshop NLP in the Enterprise: Envisioning the Next 10 Years
PLN-E aims to become a meeting point among academic researchers and companies interested on technologies all along Natural Language Processing and other related technologies like text mining, information retrieval, opinion mining, etc.
We aim the submission of works that shows how NLP can help enterprises to solve problems, or develop new products and services. We expect 3 different types of works:
- (Academic/enterprise) Research works at early stages but with a clear orientation to enterprise applications (products/services)
- Works showing how a certain or several NLP technologies have been successfully used to solve a certain problem (such as developing a new product/service)
- Works from companies explaining certain problems that can not be solved with the actual state of the art on NLP.
Topics of interest include, but are not limited to, the next topics:
A) New NLP Technologies with a clear Application in the Enterprise
- Opinion Mining and Sentiment Analysis
- Monolingual and Multilingual Information Systems
- Voice Question-Answering Systems
- Social Intelligent Systems
- Plagiarism Detection and Systems for Detecting Confidential Information
- Recommender Systems
- Illicit contents/Crimes Detection Systems
B) New Application Domains
- Social Media
- Mobile Devices
- Videoconsoles and TDT
- Virtual Worlds and Massive Multiplayer Games
C) Business Aspects of NLP
- New Business Models
- Unsolved Problems
- Scalability and Performance of NLP Technologies
- Production Environments for NLP Systems
- Real-World Datasets Descriptions
- Demands and Market Needs
Dates
- Submission: 15 June, 2010
- Notification of acceptance: 15 July, 2010
- Camera Ready: 15 August, 2010
- Workshop: 6/7 de September, 2010
CFPs on Recommender Systems
- IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. Deadline: 26 March 2010.
- WI–IAT 2010 Workshop on Web Personalization and Recommender Systems (WebPRES 2010). Deadline: 16 April 2010.
- Trust and Recommender Systems for Social Search and Web-Log Analysis. Deadline: 16 April.
- ACM Recommender Systems. Deadline: 16 April (abstracts), 23 April 2010 (papers).
Journals/Special Issues:
- Special Issue on: "Recommender Systems to Support the Dynamics of Virtual Learning Communities" on International Journal of Web Based Communities. Deadline: 30 March 2010.
- Special Issue on "Social Linking and Hypermedia", on New Review of Hypermedia and Multimedia. Deadline: 11 June 2010.
- Special Issue on "Social Recommender Systems", on ACM Transactions on Intelligent Systems and Technology. Deadline: 16 July 2010.
- Special Issue on "Adaptation and Personalization for Ubiquitous Computing", on Personal and Ubiquitous Computing (Springer). Deadline: 30 November 2010.
- Social Network Analysis and Mining, Springer.
CFP: APRESW Extended to March 15
APRESW 2010 (1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web), colocated under the ESWC 2010, has extended its deadline to March 15.
RecSys + ECML/PKDD = Barcelona, September
There is a clear topic relation between RecSys and ECML, in fact most of actual RecSys approaches has been proben in other fields (like data-mining, machine learning, information retrieval, etc.) before. For whom, like me, work around the two fields, is a great opportunity to assist two great conference in a single travel, and discover Barcelona, that is a really great city.
Opinion Mining/Sentiment Analysis resources
Another interesting source of contents has been WOMSA workshop (1st Workshop on Opinion Mining and Sentiment Analysis), held in November 2009, with some up-to-date applications.
I also found interesting that Evri API that offer some sentiment-related details about some entities that are indexed in Evri.
I'm convinced we'll see a lot of Opinion Mining powered applications and services during the next years, it's a really interesting field in terms of its applications in marketing, social media...
1st International Workshop on Adaptation, Personalization and REcommendation in the Social-semantic Web (APRESW 2010)
30 or 31 May 2010 | Heraklion, Greece
http://nets.ii.uam.es/apresw2010/
In conjunction with the
7th Extended Semantic Web Conference (ESWC 2010)
http://www.eswc2010.org/
+++++++++++++++
Important dates
+++++++++++++++
* Paper submission: 7 March 2010
* Notification of paper acceptance/rejection: 5 April 2010
* Camera-ready copies of accepted papers: 18 April, 2010
* APRESW 2010 Workshop: 30 or 31 May 2010
++++++++++
Motivation
++++++++++
During the last years, researchers and practitioners of the Semantic Web have progressively consolidated a number of very important achievements. Formal languages have been standardized to define ontology-based knowledge representations, logic formalisms and query models. Ontology engineering methodologies and tools have been proposed to ease the designing and populating of ontological knowledge bases. Reasoning engines have been implemented to exploit inference capabilities of ontologies, and semantic-based frameworks have been built to enrich the functionalities of Web services. These achievements are the pillars to deal with the complex challenge of bringing semantics to the Web.
The above gives a new ground to extend the focus of the Semantic Web by engaging it in other communities, where semantics can play an important role. The available semantic knowledge bases can be used to enrich and link additional repositories, ontology engineering techniques can be utilized to properly design and build ontologies in further real-world domains, and inference and query mechanisms can enhance classic information management and retrieval approaches.
Among these communities, this workshop aims to attract the attention of students and professionals both from academia and industry who take benefit of semantic-based techniques and technologies in within-application Adaptation, Personalization and Recommendation approaches. In parallel to the progress made in the Semantic Web research topics, there have been appearing works in the above areas that use ontologies to model the user’s preferences, tastes and interests, and exploit these personal features together with meta-information about multimedia contents in order to provide the user with adaptation and personalization capabilities for different purposes such as information retrieval and item recommendation.
Moreover, with the advent of the Web 2.0 (also called the Social Web), the potential study and development of those approaches have increased exponentially. Social networks allow people to provide explicit relationships with others, and find out implicit user similarities based on their profiles. Social tagging services offer the opportunity to easily create and exploit personal knowledge representations. Wiki-style sites represent an environment where the community contributes and shares information, and blogs are media in which users express subjective opinions.
In all of these scenarios, adaptation, personalization and recommendation are core functionalities. However, the understanding and exploitation of the semantics underlying user and item profiles are still open issues.
++++++++++++++++++
Topics of interest
++++++++++++++++++
The workshop will focus on establishing user/usage models for adaptation, personalization and recommendation approaches for the Social-semantic Web.
Topics of interest include, but are not limited to the exploitation of the Web of Data, the identification of semantics underlying social annotations of multimedia contents, and the application of semantic-based techniques and technologies in research fields related to:
* Personalized access to multimedia content
* Content-based recommendation and collaborative filtering
* Adaptive exploration of multimedia content
* Adaptive user interfaces for multimedia content browsing and searching
* Community extraction and exploitation
* Social networks analysis for collaborative recommendation
* User profile construction based on social tagging information
* Context-aware multimedia content access and delivery
* Mobile and ubiquitous multimedia content access and delivery
++++++++++++++++++++
Organizing Committee
++++++++++++++++++++
* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Peter Mika, Yahoo! Research, Spain
* David Vallet, Universidad Autónoma de Madrid, Spain
* José C. Cortizo, Universidad Europea de Madrid, Spain
* Francisco M. Carrero, Universidad Europea de Madrid, Spain
+++++++++++++++++
Program Committee
+++++++++++++++++
* Sofia Angeletou, Knowledge Media Institute, The Open University, UK
* Ching-man Au Yeung, NTT Communication Science Labs, Japan
* Pablo Castells, Universidad Autónoma de Madrid, Spain
* Manuel Cebrián, Massachusetts Institute of Technology, USA
* Rosta Farzan, Carnegie Mellon University, USA
* Miriam Fernández, Knowledge Media Institute, The Open University, UK
* Enrique Frías, Telefónica I+D, Spain
* Ana García-Serrano, Universidad Nacional de Educación a Distancia, Spain
* Andrés García-Silva, Universidad Politécnica de Madrid, Spain
* Tom Heath, Talis, UK
* Frank Hopfgartner, University of Glasgow, UK
* Ioannis Konstas, University of Edinburgh, UK
* Estefanía Martín, Universidad Rey Juan Carlos, Spain
* Phivos Mylonas, National Technical University of Athens, Greece
* Daniel Olmedilla, Telefónica I+D, Spain
* Carlos Pedrinaci, Knowledge Media Institute, The Open University, UK
* Jérôme Picault, Alcatel-Lucent Bell Labs, France
* Francesco Ricci, Free University of Bozen-Bolzano, Italy
* Sergey A. Sosnovsky, University of Pittsburgh, USA
* Martin Szomszor, City University London, UK
* Marc Torrens, Strands, Spain
* Paulo Villegas, Telefónica I+D, Spain
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Organizers
++++++++++
* Universidad Autónoma de Madrid, http://www.uam.es/
* Yahoo! Research, http://research.yahoo.com/
* Universidad Europea de Madrid, http://www.esp.uem.es/gsi/
++++++++
Sponsors
++++++++
* Ministerio de Ciencia e Innovación de España (CENIT-2007-1012), https://i3media.barcelonamedia.org/
* Consorcio MAVIR, http://www.mavir.net
* Sistema Madri+d, http://www.madrimasd.org
+++++++++++++++++++
Contact information
+++++++++++++++++++
Dr. Iván Cantador
Departamento de Ingeniería Informática
Escuela Politécnica Superior
Universidad Autónoma de Madrid, Spain
E-mail: ivan.cantador@uam.es
Phone: +34 91 497 2358
[REMINDER] Special Issue of International Journal of Electronic Commerce on Mining Social Media
List of Social Tagging Datasets
From Search to Recommender Systems
Amazon is a e-commerce store, and it seems not so correlated with technology as Google, but the vision of Jeff Bezos and their commitment to technology have allowed them to grow like anyone before in the e-commerce market. For Bezos, an online store should not limit their catalog to a few items, online stores should contain millions of products, and should personalize the user experience of their users. His vision was clear: "if you have 3 million customers in the Web, I should have 3 million online stores", and then the recommender system ruled Amazon.
Both technologies (search and recommender systems) are useful for the Information Overload problem we suffer nowadays. But they're radically different from their conception. Search engines need the users to express their needs in textual form, and then process that query and retrieve the most relevant documents according to that query. Recommender Systems analyze the behaviour (and other kind of data) of the user in a website and then are able to choose the products or contents more likely to interest the user. Both approaches are useful, but until the moment recommender systems are not as popular as search engines.
But we are in a turnaround in the Web, as the way information is generated and consumed has changed. Nowadays, due to the success of Social Media sites like Facebook or Twitter, and even to the success of previous technologies as RSS, we receive a lot of information in a passive way: we don't ask directly to receive that information, but we receive it. Until the moment, the problem was to find some important information, but now the problem is turning into choose what information I already receive is relevant to me. That's why I think recommender systems will replace in popularity to search engines in the future.
1st Spring School on Social Media Retrieval (S3MR)
Multimedia content has become ubiquitous on the web, creating new challenges for indexing, access, search and retrieval. At the same time, much of this content is made available on content sharing websites like YouTube or Flickr, or shared on social networks like Facebook. In such environments, the content is usually accompanied with metadata, tags, ratings, comments, information about the uploader and their social network, etc.
Analysis of these "social media" shows a great potential in improving the performance of traditional multimedia information analysis/retrieval approaches by bridging the semantic gap between the "objective" multimedia content analysis and "subjective" users' needs and impressions. The integration of these aspects however is non-trivial and has created a vibrant, interdisciplinary field of research.
The Spring School on Social Media Retrieval aims at bringing together young researchers from neighboring disciplines, offering
(1) lectures delivered by experts from academy and industry providing a clear and in-depth summary of state-of-the-art research in social media retrieval,
(2) collaborative projects in small groups providing hands-on experience on integrative work on selected problems from the field.
Scope
* Content distribution over social/peer-to-peer networks
* Multimedia content analysis
* Automatic multimedia annotation/tagging
* Multimedia indexing/search/retrieval
* Implicit media tagging
* Social data analysis
* Collaborative tagging
Confirmed lecturers:
-Susanne Boll, Carl von Ossietzky Universität, Oldenburg, Germany , http://medien.informatik.uni-oldenburg.de/personen/susanne_boll/
-Roelof van Zwol, Yahoo Research, Barcelona, Spain, http://research.yahoo.com/Roelof_van_Zwol
-Ciro Cattuto, ISI Foundation, Turino, Italy, http://isiosf.isi.it/~cattuto/
for more information and also for subscription please visit our webpage: http://www.petamedia.eu/s3mr/
CFP: Special Issue of International Journal of Electronic Commerce on Mining Social Media
OVERVIEW
Recently, Forrester published a report, “The Future of the Social Web” where they sketched a timeline of the development of the Social Web, dividing its evolution in 5 eras. According to that report, the first era of the development of the Social Web started to explode the social relationships among users. Then, in the social functionality era, these social relationships resulted in the social functionality era where several websites started to add social functionalities in order to help users to interact with their peers. We are now in the era of Social Colonization, where technologies like Facebook Connect or Google Friend Connect have standardized social functionalities among websites and a vast majority of websites now include several social functionalities. Soon these federated identities will empower people to enter the era of social context with personalized and social content, and the development of tools for personalize social content will aim the development of the era of social commerce.
The primary goal of the proposed special issue of International Journal of Electronic Commerce is to foster research in the interplay between Social Media, Data Mining and Electronic Commerce, trying to reflect the actual developments on technologies that fit on the Social Context era.
SCOPE
The International Journal of Electronic Commerce is the #1-ranked journal on Electronic Commerce globally. This Special Issue will provide a significant opportunity for authors to publish important novel and original contributions in the area of Data Mining applied to Social Media. The guest editors seek papers and proposals that address various aspects of Mining Social Media, including recommender systems for social media, data mining algorithms designed to explode Social Networks, information management for Social Networks, etc.
RESEARCH QUESTIONS
We invite scholars and professionals from a broad range of disciplines to submit to this Special Issue. Papers may encompass any or all of the following: foundational theoretical analyses, modelling, simulation, and empirical studies. Authors may examine different aspects of mining social media in any of a variety of possible contexts. Special topics of interest include, but are not limited to, the following:
A. Data Mining for Social Networks
• Novel Algorithms
• Association Rules
• Mining semi-structured data
• Classification and Ranking
• Clustering
• Text Mining
• Machine Learning
• Privacy Preserved Data Mining
• Statistical Methods
• Temporal and spatial data mining
• Parallel and Distributed Data Mining
• Interactive and Online Mining
• Data and Knowledge Visualization
• Multimedia mining (audio/video)
• Ensemble Methods
• Web Mining
• Graph Mining
• Link Mining
B. Information Management for Social Networks
• Recommender Systems
• Information Retrieval
• Sentiment Analysis
• Natural Language Processing
• Question Answering
• Semantic Processing
• Graph Analysis and Complex Networks
• Social Network Analysis
C. Possible applications
• Electronic Commerce
• E-Mail Spam Detection
• Blog/Social Networks Spam Detection
• Community Detection
• Users/content recommenders
• Trends discovery
• Blogs/Social Networks Community Dynamics
• User Reviews Ranking
• Blogs/Social Networks Contributions Summarization
• Abuse/Fraud Detection
• User Profile Modelling
• Event Detection and Tracking in Social Media
• Online Advertising
SUBMISSION GUIDELINES
Manuscripts submitted to the special issue should contain original material not published in nor submitted to other journals. Each manuscript has to have a cover page with the author information and another page with title and abstract but the author information omitted. The review process is double-blind and papers which do not meet publication quality standards will be rejected before the review process.
Interested authors are required to submit extended abstracts of no more than two pages for their planned submissions. This will give the editorial team an opportunity to determine if a given submission is appropriate for expedited handling and review.
Full papers should be sent via e-mail to Jose Carlos Cortizo <josecarlos.cortizo@wipley.com> in anonymized PDF Format, not including any author names or affiliations, and should not exceed 40 pages.
IMPORTANT DATES
- Abstracts DeadLine: 15 January 2010
- Abstracts Feedback: 30 January 2010
- Full Paper Submission: 15 April 2010
- Revision Notification: 1 June 2010
- Revised Manuscripts: 1 August 2010
- Final Decision: 1 October 2010
