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March 2014 Volume 39 Number 2
The 2nd Workshop on Social and Algorithmic Issues in Business Support-Knowledge Hidden in Text Adam Wojciechowski
Alok Mishra
Poznan University of Technology Institute of Computing Science Poznan, Poland
Department of Software Engineering Atilim University Ankara, Turkey
[email protected]
[email protected]
DOI: 10.1145/2579281.2579313 http://doi.acm.org/10.1145/2579281.2579313
ABSTRACT This is a report from the 2nd International Workshop on “Social and Algorithmic Issues in Business Support” (SAIBS), which was organized in conjunction with the 6th Language and Technology Conference in Poznan, Poland, on December 8, 2013. The second edition of the workshop was focused on discovering knowledge hidden in text resources. The social trends observed in networking and business activity has several roots. First - it is a challenge for many of us to express, publish and share our experience and become recognizable among the crowd. Second –the crowd creativity is a result of a process based on merging efforts and distributed resources in order to produce improved quality and deliver new products. Third - utilizing social energy and productivity may initiate new business paradigms. Among a variety of artifacts stored in computer networks text resources play important roles. Books, articles, reports, subtitles, comments, tables of data, emails, passwords and other textual feeds are easy to produce, easy to transfer, relatively easy to translate and very attractive to process and analyze. The 2nd SAIBS Workshop was a place to discuss methods of knowledge discovery in text files and tables, its visualization, utilization and commercialization. An important social contribution is software developed and hosted by volunteers and distributed through word-of-mouth recommendation. By the way – manual and automated mining textual and multimedia content delivered via the Internet becomesan electronic word-of-mouth recommendation. During the workshop session we handled social contribution to business processes taking into account possible benefits and risk factors. Finally we were interested in research that analyzed crowd behaviour collected in text tables or visualized in the form of charts.
1. INTRODUCTION
During the 2nd SAIBS Workshop we wanted to focus on computational and optimization issues that could be supported by crowd input or social intelligence. A separate issue worth analyzing was visualization of data and paradigms collected in databases and large text files. We tried to answer the question,“How far and on which fields businesses may benefit from utilizing social input and engagement?”. And finally, we discussedissues how computer systems may understand social behaviour, sometimes named: market, and support humans in making decisions, i.e. in automatic trading.
Topics proposed for discussion during the 2nd SAIBS Workshop included: Translation issues and multi-language data feeds Recommender systems based on textual content and comments analysis Mining text artifacts to feed recommender systems Visualization of text and digital data Social and language issues in software specification, design and production New face of interactive social games based on text instructions and wordplay Cultural and social issues in global software development Social sharing and exchange systems Crowdsourcing and crowdfounding Automatic trading systems Optimization algorithms in trade support Experimental discovery of market behaviour Business models based on mobile applications Knowledge commercialization Business process improvement Social intelligencedefined by a superposition of many decisions and activities made by individuals may be observed, colleced and analysed by computer systems. We all witness the fact in everyday life, e.g. shopping decisions or participating in the stock exchange market where every trader has some strenght to pull prices up or down. It is a fascinating field of research to identify intentional and passive social contributions to common repositories.
Accepted Papers
Papers presented at the 2nd SAIBS Workshop provideed recent advances and novel proposals in social contribution to business processes support. The authors, even when dealing with general issues and methods, embeded their research in particular social and technogical circumstances which made the cases close to our practice and were interesting for the audience participating in the 6th LTC. EkaterinaPronoza, ElenaYagunowa and AndreyLyashin in their paper Restaurant Information Extraction for the Recommendation System[1]analyzedRussian restaurants reviews extracted from social media. Presented system was intended to be a module of a recommendation system and it aimed at automatic gathering information on restaurants’ attributes and features extracted from customers’ reviews Collected data may
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feed a recommender system with information derived from analyzed text resoures. The analyzed frames include service and food quality, cuisine, price level etc. Authors’ aim was to developa patterns and to estimate their appropriateness for information extraction. Robert Susmaga and IzabelaSzczech [2] proposed a visualization technique for interestingness measures, which provides useful insights into different domain areas of the visualized measure and thus effectively assists measure comprehension and their selection for KDD methods. Assuming a common 4-dimensional domain form of the measures, the proposed system generates a synthetic set of contingency tables and visualizes them in three dimensions using a tetrahedron-based barycentric coordinate system. At the same time, an additional, scalar function of the data (referred to as the operational function e.g. any interestingness measure) is rendered using colour. The method is illustrated on examples of particular group interestingness measures, known as confirmation measures. Fernando Ferri, Patrizia Grifoni and Adam Wojciechowski [3], defined SNEP problem, which is applicable to optimal product (objects) exchange in social netorks. The authors discuss the new frontiers of using Internet and social netorks for exchanging goods or services by swapping. General concept, business logic and concept of exchange optimization algorithm are intended for emerging business approach. In particular, a holistic approach was proposed, which involves the community knowledge shaping and management by a web platform, jointly with a graph approach to represent exchange relations and solve 1-to-1 exchange problem. The exchange problem involves social networks, people’s will or need and goods to be exchanged. Application of defined problem is presented in the context of environmental care by reusing products. Research reported by Magdalena Sroczan and Ewa Lukasik [4]was inspired by the concept of design driven innovation introduced by Roberto Verganti. He claimed, that the rules of innovation should be changed by radical changing the meaning of things. The word design is etymologically derived from latin expression that relates to distinguishing things by signs (de signum). Therefore the sign and the language of signs play an important role in catching users’ interests in the product. Nowadays, the Internet is one of the most important marketing media for a firm; therefore the meaning of its web image, a website, should be a matter of a company’s great concern to attract the clients. In presented research work the authors tried to answer the question if websites of firms were innovative or they were only correctly designed according to user centered rules. The design driven innovation of websites of selected firms has been assessed by student testers. Three groups of Internet portals were taken into account: electricity suppliers, banks and portals of cities. The test results showed, that the design of majority of the assessed websites was located in the first quadrant of Verganti’s technology-meaning, i.e. neither the radical innovation of technology, nor the innovation of meaning were observed. In the last research paper presented at the 2nd SAIBS Workshop Adam Wojciechowski and Krzysztof Gorzynski[5] proposed a graphical method for book comparison based on radar chart intersection area. The method was designed as a universal tool
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applied to book comparison. Its most important parameter is document feature vector (DFV), which defines a set of text descriptors used to measure particular properties of analyzed text. Numerical values of the DFV that define book characteristic are stretched on radar chart and intersection area drawn for two books is interpreted as a measure of bilateral similarity in sense of defined DFV. Experiment conducted on relatively simple definition of the DFV gave promising results in recognition of books’ similarity (in sense of author and literature domain). Such an approach may be used for building a recommender system for readers willing to select a book matching their preferences recognized by objective properties of a reference book.
Summary of Workshop Discussion Very active and productive discussions which took place after each presented paper, were mainly focused on benefits gained by mining and aggregating knowledge derived from analysis of social artifacts presented in text or other forms in the global computer network.The 2nd SAIBS participants proposed some new elements for discussed issues and projects worth to be considered in further research and extended versions of presented papers which are planned to appear in 2014.
2. CONCLUSION
The 2nd SAIBS Workshop was an interesting and lively in its discussion event. Five presented research papers were focused on social contribution in business support from different perspectives: design and technology, utilizing social networks, deriving knowledge from social media, recommender systems and data visualization. Very active and productive discussions which took place after each presented paper, were mainly focused on the benefits gained by mining and aggregating knowledge derived from the analysis of the social artifacts presented in text or other forms in the global computer network.Audiences at scientific summits are rarely so active and committed. Collected conclusions and further dissemination of research results should lead to an improvementin utilizing social contribution to software development and business processes. We look forward to organizethe next edition ofthe SAIBS Workshop in 2014. Social contribution to software development and benefits of social engagement in content or data providing are important issues and topics of research studies. We will continue our efforts in building a community of business and research interest group focussed on social, economic and algorithmic issues in business suport. The workshop webpage is available at: http://saibs.cs.put.poznan.pl.
3. ACKNOWLEDGMENTS We would like to thank all the attendees of the workshop who facilitated an excellent interchange of ideas and interesting case studies. We would also like to thank the organizers of the 6thLanguage and TechnologyConference, in particular prof. Zygmunt Vetulani, for inviting us to join 6th LTC, providing infrastructure and support in organizing 2nd SAIIBS Workshop.
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Workshop Organization Workshop Chairs: Adam Wojciechowski, Poznan University of Technology, Poland Alok Mishra, Atilim University,Turkey Program Committee: Frederic Andres, National Institute of Informatics, Japan Richard Chbeir, Universite de Pau et des Pays de l'Adour, France Wojciech Complak, Poznan University of Technology, Poland Michele Dasisti, Politecnico Di Bari, Italy Arianna D'Ulizia, IRPPS, National Research Council, Rome, Italy Fernando Ferri, IRPPS, National Research Council, Rome, Italy Patrizia Grifoni, IRPPS, National Research Council, Rome, Italy Patrick Hamilton, University of the South Pacific, Fiji Mario Lezoche, Universite de Lorraine, France Alok Mishra, Atilim University, Turkey Miroslaw Ochodek, Poznan University of Technology, Poland Rory O'Connor, Dublin City University, Ireland Herve Panetto, University of Lorraine, France Robert Susmaga, Poznan University of Technology, Poland Zygmunt Vetulani, Adam Mickiewicz University, Poland Agnieszka Wegrzyn, University of Zielona Gora, Poland Adam Wojciechowski, Poznan University of Technology, Poland Milan Zdravkovic, University of Nis, Serbia
REFERENCES [1]Pronoza Ekaterina, Yagunowa Elena, Lyashin Andrey, Restaurant Information Extraction for the Recommendation
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System, in: Z.Vetulani, H. Uszkoret (ed.), Human Language Technologies as a Challenge for Computer Science and Linguistics, Proceedings of 6th Language and Technology Conference, Poznan, December 7-9, 2013, pp. 90-94. [2]Susmaga Robert, Szczech Izabela, Visualization of Interestingness Measures, in: Z.Vetulani, H. Uszkoret (ed.), Human Language Technologies as a Challenge for Computer Science and Linguistics, Proceedings of 6th Language and Technology Conference, Poznan, December 7-9, 2013, pp. 9599. [3]Ferri Fernando, Grifoni Patrizia, Wojciechowski Adam, SNEP: Social Network Exchange Problem, in: Z.Vetulani, H. Uszkoret (ed.), Human Language Technologies as a Challenge for Computer Science and Linguistics, Proceedings of 6th Language and Technology Conference, Poznan, December 7-9, 2013, pp. 100-104. [4]Sroczan Magdalena, Lukasik Ewa, Innovation of Technology and Innovation of Meaning: Assessing Websites of Companies, in: Z.Vetulani, H. Uszkoret (ed.), Human Language Technologies as a Challenge for Computer Science and Linguistics, Proceedings of 6th Language and Technology Conference, Poznan, December 7-9, 2013, pp. 105-109. [5]Wojciechowski Adam, Gosciniak Krzysztof, A Method for Measuring Similarity of Books: a Step Towards Objective Recommender System for Readers, in: Z.Vetulani, H. Uszkoret (ed.), Human Language Technologies as a Challenge for Computer Science and Linguistics, Proceedings of 6th Language and Technology Conference, Poznan, December 7-9, 2013, pp. 105-109.
