Icwe 2012 welcome

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Marco Brambilla

This is the welcome presentation of ICWE 2012, the 12th International Conference on Web Engineering. See also: http://www.modeldrivenstar.org/2012/08/trends-in-web-engineering-at-ICWE-2012.html for take away message from ICWE 2012. ICWE aims at promoting scientific and practical excellence on Web Engineering, and at bringing together researchers and practitioners working in technologies, methodologies, tools, and techniques used to develop and maintain Web-based applications leading to better systems, and thus to enabling and improving the dissemination and use of content and services through the Web. The Twelfth International Conference on Web Engineering (ICWE 2012) has been held on July 23 - 27, 2012 in Berlin, Germany. The conference covered the following topics of interest: Web application engineering Processes and methods for Web application development Conceptual modeling of Web applications Model-driven Web application development Domain-specific languages for Web application development Component-based Web application development Web application architectures and frameworks Rich Internet Applications Mashup development and end user Web programming Patterns for Web application development and pattern mining Web content management and data-intensive Web applications Web usability and accessibility I18N of Web applications and multi-lingual development Testing and evaluation of Web applications Deployment and usage analysis of Web applications Performance modeling, monitoring, and evaluation Empirical Web engineering Web quality and Web metrics Adaptive, contextualized and personalized Web applications Mobile Web applications and device-independent delivery Web service engineering Web service engineering methodologies Web Service-oriented Architectures Semantic Web services Web service-based architectures and applications Quality of service and its metrics for Web applications Inter-organizational Web applications Ubiquity and pervasiveness Linked Data Services Web data engineering Semantic Web engineering Web 2.0 technologies Social Web applications Web mining and information extraction Linked Data Web data linking, fusion Information quality assessment Data repair strategies Dataset dynamics Dataset introspection Linked Data consumption, visualisation and exploration Deep Web Web science and Future Internet applications

Technology Travel Business

Program Highlights

Robert Tolksdorf
Marco Brambilla
Takehiro Tokuda

The conference at a glance

 Integrated location
 Diverse topics and submissions
 Intertwined program
 Demo
 Posters
 Workshops
 Research tracks
 Alternated morning and afternoon working times 

1

Some stats: papers

 98 submissions to main track
 20 accepted full papers (≅20%)
 14 accepted short papers (≅15%)

 18 poster and demo submissions
 10 accepted demo and 3 accepted posters
 5 transfers from main track

2

Some stats: papers by Country

Others
Denmark
Algeria
Tunisia
China
Japan
Greece
Argentina
accepted
Canada
submitted
Switzerland
Brazil
Netherlands
France
Germany
Spain
Italy
0 2 4 6 8 10 12 14 16 18

3

Some stats: authors by Country
United Kingdom
India
Jordan
Tunisia
Ireland
Denmark
Switzerland
Argentina
China
Japan
Canada
Brazil
Netherlands
Greece
Germany
France
Italy
Spain
Others

-5 5 15 25 35 45 4

Reviewing effort (main track)

 69 PC members
 77 external reviewers
 340+ reviews

5

Reviewers by Country

Others
Germany
Spain
Italy
United States
Japan
Australia
United Kingdom
Korea
Belgium
Argentina
Netherlands
France

0 2 4 6 8 10 12 14 16
6

Program highlights

 5 Tutorials
 4 Workshops
 Demo and poster sessions
 PhD workshop
 9 main track sessions

 2 Keynote speeches:

Richard Soley, OMG Felix Naumann, Hasso-Plattner-Inst.

7

Twitting
 Please tweet!
#icwe2012
Session specific hashtags:
 Keynotes #keynote
 Tutorials #tutorial
 Workshops #...
 Social Networks #socnet
 Tagging #tag
 Personalization #pers
 Modeling #model
 Searching #search
 User Interfaces #ui
 Web Services #ws
 Crawling #crawl
 Linked Data #ld 8

Enjoy the conference!

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In online social media platforms, users can express their ideas by posting original content or by adding comments and responses to existing posts, thus generating virtual discussions and conversations. Studying these conversations is essential for understanding the online communication behavior of users. This study proposes a novel approach to retrieve popular patterns on online conversations using network-based analysis. The analysis consists of two main stages: intent analysis and network generation. Users’ intention is detected using keyword-based categorization of posts and comments, integrated with classification through Naïve Bayes and Support Vector Machine algorithms for uncategorized comments. A continuous human-in-the-loop approach further improves the keyword-based classification. To build and understand communication patterns among the users, we build conversation graphs starting from the hierarchical structure of posts and comments, using a directed multigraph network. The experiments categorize 90% comments with 98% accuracy on a real social media dataset. The model then identifies relevant patterns in terms of shape and content; and finally determines the relevance and frequency of the patterns. Results show that the most popular online discussion patterns obtained from conversation graphs resemble real-life interactions and communication.

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A large audience of users and typically a long time frame are needed to produce sensible and useful log data, making it an expensive task. To address this limit, we propose a method that focuses on the generation of REALISTIC NAVIGATIONAL PATHS, i.e., web logs . Our approach is extremely relevant because it can at the same time tackle the problem of lack of publicly available data about web navigation logs, and also be adopted in industry for AUTOMATIC GENERATION OF REALISTIC TEST SETTINGS of Web sites yet to be deployed. The generation has been implemented using deep learning methods for generating more realistic navigation activities, namely Recurrent Neural Network, which are very well suited to temporally evolving data Generative Adversarial Network: neural networks aimed at generating new data, such as images or text, very similar to the original ones and sometimes indistinguishable from them, that have become increasingly popular in recent years. We run experiments using open data sets of weblogs as training, and we run tests for assessing the performance of the methods. Results in generating new weblog data are quite good with respect to the two evaluation metrics adopted (BLEU and Human evaluation). Our study is described in detail in the paper published at ICWE 2020 – International Conference on Web Engineering with DOI: 10.1007/978-3-030-50578-3. It’s available online on the Springer Web site.

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Massive data integration technologies have been recently used to produce very large ontologies. However, knowledge in the world continuously evolves, and ontologies are largely incomplete for what concerns low-frequency data, belonging to the so-called long tail. Socially produced content is an excellent source for discovering emerging knowledge: it is huge, and immediately reflects the relevant changes which hide emerging entities. Thus, we propose a method for discovering emerging entities by extracting them from social content. We start from a purely-syntactic method as a baseline, and we propose a semantics-based method based on entity recognition and DBpedia. The method associates candidate entities to feature vectors, built from social content by using co-occurrence, and then extracts the emerging entities by using feature similarity measures. Once instrumented by experts through very simple initialization, the method is capable of finding emerging entities and extracting their relevant relationships to given types; the method can be continuously or periodically iterated, using the already identified emerged knowledge as new starting point. We validate our method by applying it to a set of diverse domain-specific application scenarios, spanning fashion, literature, exhibitions and so on. We show the approach at work and we demonstrate its effectiveness on datasets with different characterization in terms of coverage, dynamics and size.

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Cities are growing as melting pots of people with different culture, religion, and language. In this paper, through multilingual analysis of Twitter contents shared within a city, we analyze the prevalent language in the different neighborhoods of the city and we compare the results with census data, in order to highlight any parallelisms or discrepancies between the two data sources. We show that the officially identified neighborhoods are actually representing significantly different communities and that the use of the social media as a data source helps to detect those weak signals that are not captured from traditional data.

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Slides for the mdse-book.com chapter 9 - Model-to-text transformations. Complete set of slides now available: Chapter 1 - http://www.slideshare.net/mbrambil/modeldriven-software-engineering-in-practice-chapter-1-introduction Chapter 2 - http://www.slideshare.net/mbrambil/modeldriven-software-engineering-in-practice-chapter-2-mdse-principles Chapter 3 - http://www.slideshare.net/jcabot/model-driven-software-engineering-in-practice-chapter-3-mdse-use-cases Chapter 4 - http://www.slideshare.net/jcabot/modeldriven-software-engineering-in-practice-chapter-4 Chapter 5 - http://www.slideshare.net/mbrambil/modeldriven-software-engineering-in-practice-chapter-5-integration-of-modeldriven-in-development-processes Chapter 6 - http://www.slideshare.net/jcabot/mdse-bookslideschapter6 Chapter 7 - http://www.slideshare.net/mbrambil/model-driven-software-engineering-in-practice-book-chapter-7-developing-your-own-modeling-language Chapter 8 - http://www.slideshare.net/jcabot/modeldriven-software-engineering-in-practice-chapter-8-modeltomodel-transformations Chapter 9 - https://www.slideshare.net/mbrambil/model-driven-software-engineering-in-practice-book-chapter-9-model-to-text-transformations-and-code-generation Chapter 10 - http://www.slideshare.net/jcabot/mdse-bookslideschapter10managingmodels This book discusses how approaches based on modeling can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. This book is an agile and flexible tool to introduce you to the MDE and MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDE instruments for your needs so that you can start to benefit from MDE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios and current standards, like the wellknown MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDE projects. The book covers a wide set of introductory and technical topics, spanning MDE at large, definitions and orientation in the MD* world, metamodeling, domain specific languages, model transformations, reverse engineering, OMG's MDA, UML, OCL, A

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Icwe 2012 welcome

1. Program Highlights Robert Tolksdorf Marco Brambilla Takehiro Tokuda

2. The conference at a glance  Integrated location  Diverse topics and submissions  Intertwined program  Demo  Posters  Workshops  Research tracks  Alternated morning and afternoon working times  1

3. Some stats: papers  98 submissions to main track  20 accepted full papers (≅20%)  14 accepted short papers (≅15%)  18 poster and demo submissions  10 accepted demo and 3 accepted posters  5 transfers from main track 2

4. Some stats: papers by Country Others Denmark Algeria Tunisia China Japan Greece Argentina accepted Canada submitted Switzerland Brazil Netherlands France Germany Spain Italy 0 2 4 6 8 10 12 14 16 18 3

5. Some stats: authors by Country United Kingdom India Jordan Tunisia Ireland Denmark Switzerland Argentina China Japan Canada Brazil Netherlands Greece Germany France Italy Spain Others -5 5 15 25 35 45 4

6. Reviewing effort (main track)  69 PC members  77 external reviewers  340+ reviews 5

7. Reviewers by Country Others Germany Spain Italy United States Japan Australia United Kingdom Korea Belgium Argentina Netherlands France 0 2 4 6 8 10 12 14 16 6

8. Program highlights  5 Tutorials  4 Workshops  Demo and poster sessions  PhD workshop  9 main track sessions  2 Keynote speeches: Richard Soley, OMG Felix Naumann, Hasso-Plattner-Inst. 7

9. Twitting  Please tweet! #icwe2012 Session specific hashtags:  Keynotes #keynote  Tutorials #tutorial  Workshops #...  Social Networks #socnet  Tagging #tag  Personalization #pers  Modeling #model  Searching #search  User Interfaces #ui  Web Services #ws  Crawling #crawl  Linked Data #ld 8

10. Enjoy the conference!