Abstract: In this research paper the technological and commercial foundation and marketing issues regarding web 2.0 are examined. Web 2.0 applications appear to be a new stage in the internet’s evolution. These applications are suitable for using new forms of interactive, one-to-one marketing. The influence the Internet is having on our everyday lives is reaching almost unimaginable levels. The extent of the information revolution can only be compared to inventions of speaking, writing and printing in the past, which are all major achievements that allowed new ways of sharing thoughts and ideas between people. Web 2.0 is the next step of this information revolution, and to understand why it's so important, we have to observe all the significant applications it represents. This will hopefully give us a better insight into the potential they bring to our personal and professional lives, besides their impact on the whole humanity which we still perhaps don't fully comprehend. Web 2.0 has changed the way people take decisions, communications, entertainment, learning, socialise and to be in touch with their group and even do their shopping. The focus of this study is to present a sensible picture on commercial and technological foundations of the new category of Web 2.0 and to examine the relevance of Web 2.0 for Marketing Strategy and for Direct Marketing in particular.

Abstract: As enterprises expand and post increasing information about their business activities on their websites, website data promises to be a valuable source for investigating innovation. This article examines the practicalities and effectiveness of web mining as a research method for innovation studies. We use web mining to explore the R&D activities of 296 UK-based green goods small and mid-size enterprises. We find that website data offers additional insights when compared with other traditional unobtrusive research methods, such as patent and publication analysis. We examine the strengths and limitations of enterprise innovation web mining in terms of a wide range of data quality dimensions, including accuracy, completeness, currency, quantity, flexibility and accessibility. We observe that far more companies in our sample report undertaking R&D activities on their web sites than would be suggested by looking only at conventional data sources. While traditional methods offer information about the early phases of R&D and invention through publications and patents, web mining offers insights that are more downstream in the innovation process. Handling website data is not as easy as alternative data sources, and care needs to be taken in executing search strategies. Website information is also self-reported and companies may vary in their motivations for posting (or not posting) information about their activities on websites. Nonetheless, we find that web mining is a significant and useful complement to current methods, as well as offering novel insights not easily obtained from other unobtrusive sources.

Abstract: One major challenge for Web-As-Corpus research is that a typical Web search provides little information about the register of the documents that are searched. Previous research has attempted to address this problem (e.g., through the Automatic Genre Identification initiative), but with only limited success. As a result, we currently know surprisingly little about the distribution of registers on the web. In this study, we tackle this problem through a bottom-up user-based investigation of a large, representative corpus of web documents. We base our investigation on a much larger corpus than those used in previous research (48,571 web documents), and obtained through random sampling from across the full range of documents that are publically available on the searchable web. Instead of relying on individual expert coders, we recruit typical end-users of the Web for register coding, with each document in the corpus coded by four different raters. End-users identify basic situational characteristics of each w...

Abstract: ContextSemantically annotating web services is gaining more attention as an important aspect to support the automatic matchmaking and composition of web services. Therefore, the support of well-known and agreed ontologies and tools for the semantical annotation of web services is becoming a key concern to help the diffusion of semantic web services. ObjectiveThe objective of this systematic literature review is to summarize the current state-of-the-art for supporting the semantical annotation of web services by providing answers to a set of research questions. MethodThe review follows a predefined procedure that involves automatically searching well-known digital libraries. As a result, a total of 35 primary studies were identified as relevant. A manual search led to the identification of 9 additional primary studies that were not reported during the automatic search of the digital libraries. Required information was extracted from these 44 studies against the selected research questions and finally reported. ResultsOur systematic literature review identified some approaches available for semantically annotating functional and non-functional aspects of web services. However, many of the approaches are either not validated or the validation done lacks credibility. ConclusionWe believe that a substantial amount of work remains to be done to improve the current state of research in the area of supporting semantic web services.

Abstract: The growing interest in recent years towards Learning An- alytics (LA) and Educational Data Mining (EDM) has enabled novel ap- proaches and advancements in educational settings. The wide variety of research and practice in this context has enforced important possibilities and applications from adaptation and personalization of Technology En- hanced Learning (TEL) systems to improvement of instructional design and pedagogy choices based on students needs. LA and EDM play an im- portant role in enhancing learning processes by oering innovative methods of development and integration of more personalized, adaptive, and inter- active educational environments. This has motivated the organization of the ESANN 2015 Special Session in Advances in Learning Analytics and Educational Data Mining. Here, a review of research and practice in LA and EDM is presented accompanied by the most central methods, bene- ts, and challenges of the eld. Additionally, this paper covers a review of novel contributions into the Special Session.

Abstract: The aim of the paper is to compare and analyze the impact of web analytics tools for measuring the performance of a business model. Accordingly, an overview of web analytics and web metrics tools is given, including their characteristics, main functionalities and available types. The data acquisition approaches and proper choice of web tools for particular business models are also reviewed. The research is divided in two sections. First, a qualitative focus is placed on reviewing web analytics tools to exploring their functionalities and ability to be integrated into the respective business model. Web analytics tools support the business analyst’s efforts in obtaining useful and relevant insights into market dynamics. Thus, generally speaking, selecting a web analytics and web metrics tool should be based on an investigative approach, not a random decision. The second section is a quantitative focus shifting from theory to an empirical approach, and which subsequently presents output data resulting from a study based on perceived user satisfaction of web analytics tools. The empirical study was carried out on employees from 200 Croatian firms from either an either IT or marketing branch. The paper contributes to highlighting the support for management that available web analytics and web metrics tools available on the market have to offer, and based on the growing needs of understanding and predicting global market trends.

Abstract: Following your need to always fulfil the inspiration to obtain everybody is now simple. Connecting to the internet is one of the short cuts to do. There are so many sources that offer and connect us to other world condition. As one of the products to see in internet, this website becomes a very available place to look for countless handbook of research on trends and future directions in big data and web intelligence sources. Yeah, sources about the books from countries in the world are provided.

Abstract: Web usage mining refers to the process of discovering user access patterns from the log of website. Usually the web log contains unstructured, noisy and irrelevant data. To make this data suitable for pattern mining and pattern analysis it has to be passed through data preprocessing phase. Data preprocessing not only improves the quality of data but it also reduces the size of web log file. Data preprocessing involves several steps including data collection, data cleaning, session identification, user identification and path completion. This paper presents several data preprocessing techniques in order to prepare raw data suitable for mining and analysis tasks.

Abstract: Number of security vulnerabilities in web application has grown with the tremendous growth of web application in last two decades. As the domain of Web Applications is maturing, large number of empirical studies has been reported in web applications to address the solution of vulnerable web application. However, before advancing towards finding new approaches of web applications security vulnerability detection, there is a need to analyze and synthesize existing evidence based studies in web applications area. To do this, we have planned to conduct a systematic mapping study to view and report the state-of-the-art of empirical work in existing research of web applications. In this paper, we aimed at providing a description of mapping study for synthesizing the reported empirical research in the area of web applications security vulnerabilities detection approaches. The proposed solutions are mapped against: (1) the software development stages for which the solution has been proposed and (2) the web application vulnerabilities mapping according to OWASP Top 10 security vulnerabilities. To do this, existing literature has been surveyed using a systematic mapping study by phrasing two research questions. In the mapping study, a total of 41 studies dating from 1994 to 2014 were evaluated and mapped against the aforementioned categories. The outcome of this mapping study is current state-of-the-art of empirical research in web application area, strength and weaknesses of existing empirical work, best practices and possible directions for future research.

Abstract: Geospatial intelligence has traditionally relied on the use of archived and unvarying data for planning and exploration purposes. In consequence, the tools and methods that are architected to provide insight and generate projections only rely on such datasets. Albeit, if this approach has proven effective in several cases, such as land use identification and route mapping, it has severely restricted the ability of researchers to inculcate current information in their work. This approach is inadequate in scenarios requiring real-time information to act and to adjust in ever changing dynamic environments, such as evacuation and rescue missions. In this work, we propose PlanetSense, a platform for geospatial intelligence that is built to harness the existing power of archived data and add to that, the dynamics of real-time streams, seamlessly integrated with sophisticated data mining algorithms and analytics tools for generating operational intelligence on the fly. The platform has four main components -- i) GeoData Cloud -- a data architecture for storing and managing disparate datasets; ii) Mechanism to harvest real-time streaming data; iii) Data analytics framework; iv) Presentation and visualization through web interface and RESTful services. Using two case studies, we underpin the necessity of our platform in modeling ambient population and building occupancy at scale.

Abstract: Many organisations consider technology as a significant asset to generate income and control cost. The Web is recognised as the fastest growing publication medium of all time. This mass of unstructured information presents many new opportunities for organisations. The Web acts as an enabler for technological advancement, and has matured in its own unique way. From the static informative characteristics of Web 1.0, it progressed into the interactive experience Web 2.0 provides. The next phase of Web evolution, Web 3.0, is already in progress. Web 3.0 entails an integrated Web experience where the machine will be able to understand and catalogue data in a manner similar to humans. This will facilitate a world wide data warehouse where any format of data can be shared and understood by any device over any network. Organisations need to be ready, and acquire knowledge about the opportunities and risks arising from Web 3.0 technologies. The objective of this study is to investigate the risks an organisation will be exposed to when interacting with Web 3.0 technologies. The study proposes to provide insight into the risks arising from the use of Web 3.0, and to recommend possible safeguards to mitigate these risks to an acceptable level.

Abstract: Despite its prevalence in computing, web development is underrepresented in computing curricula and computing education research. This special issue takes a step towards improving its representation with three articles on web development education. Drawing upon diverse methods from a variety of contexts, the articles address challenges of teaching web development and common difficulties students encounter when learning particular concepts. All three articles identify web development as a promising avenue for motivating students in their study of computing.

Abstract: Open-Source Intelligence OSINT is intelligence collected and inferred from publicly available and overt sources of information. Open-Source social media intelligence is a sub-field within OSINT with a focus on extracting insights from publicly available data in Web 2.0 platforms like Twitter micro-blogging website, YouTube video-sharing website and Facebook social-networking website. In this paper, we present an overview of Intelligence and Security Informatics ISI applications in the domain of open-source social media intelligence. We present technical challenges and introduce basic Machine Learning based framework, tools and techniques within the context of open-source social media intelligence using two case-studies. The focus of the paper is on mining free-form textual content present in social media websites. In particular we describe two important application: online radicalization and civil unrest. In addition to covering basic concepts and applications, we discuss open research problem, important papers, publication venues, research results and future directions.

Abstract: Web engineering has emerged as a new software discipline to specifically address the challenges and complexities of developing high quality web applications. A main theme in different web engineering methodologies is to employ model driven development approaches. This increases the level of abstraction and formalism to the extent that machines can better involve in the development process and provide more automation, e.g. automatic code generation from the models. Despite their benefits, a main problem of these model-driven methodologies is that developing each new web application implies creating a probably large number of models from scratch. Hence, model reuse can be considered as the main solution to this problem. In this paper, a semantic web enabled approach is proposed for reusing models, specifically functional requirements models. It takes the brief description of the functional requirements of a new web application in terms of UML use case diagram, and semi-automatically generates the draft of the corresponding detailed description in terms of a set of UML activity diagrams. This is performed by utilizing a repository which contains semantic representation of the models of the previous web applications. The proposed approach is based on novel algorithms for annotating activity diagrams, measuring similarity of use cases, and adapting activity diagrams. The experimental evaluations demonstrate that the proposed approach is promising, and it has good precision and effectiveness.

Abstract: The development of customer-centered websites is a difficult but essential component of many organizations' overall management information systems. Specifically, the study examined the content and ...

Abstract: The increasing volume and unstructured nature of data available on the World Wide Web (WWW) makes information retrieval a tedious and mechanical task. Lots of this information is not semantic driven, and hence not machine process able, but its only in human readable form. The WWW is designed to builds up a source of reference for web of meaning. Ontology information on different subjects spread globally is made available at one place. The Semantic Web (SW), moreover as an extension of WWW is designed to build as a foundation of vocabularies and effective communication of Semantics. The promising area of Semantic Web is logical and lexical semantics. Ontology plays a major role to represent information more meaningfully for humans and machines for its later effective retrieval. This paper constitutes the requisite with a unique approach for a representation and reasoning with ontology for semantic analysis of various type of document and also surveys multiple approaches for ontology learning that enables reasoning with uncertain, incomplete and contradictory information in a domain context.

Abstract: Competitive intelligence deals with the competitive environment of a company. Several studies have been conducted on competitive intelligence domain but there is no empirical work that gives a complete implemented competitive intelligence solution. This paper presents an overview of competitive intelligence studies and highlights the issues towards developing a complete CI solution. A new conceptual model which details the collection phase and incorporates the anticipation of the competitor decisions is proposed. To better solve the CI problem, the paper proposes to integrate the ability of multi-criteria decision aid methods to manage conflicting criteria in a complex environment, with the ability of artificial intelligence in managing and extracting large amount of technical data/information in such a context.

Abstract: Economy grows as more and more people join its core echelons. People are the most important economic resources at all times. The Web, being humanity's largest source of information and interaction, probably has the most technological potential to get people into mainstream. It can serve as a conduit of humanitarian services to the underprivileged and presents a huge opportunity to meet humanitarian challenges. In this paper, we discuss the role that a truthful World Wide Web can play in achieving humanitarian goals. We survey what is currently available and discuss some of our own ideas on making the Web more robust and truthful in order to meet the humanitarian challenge.

Abstract: This paper explores the concept of Web accessibility and how technologies, guidelines and policies have evolved since the turn of the twenty-first century in order to address the ideals of equitable access to online content for all people. The paper discusses the high availability of assistive technologies built into consumer devices and the associated accessibility guidelines for Web sites and content. Through examination of the literature, this paper shows that the accessible design and assessment of Web sites can be complicated, and that social media, corporate and government Web sites are yet to fully realise the goals of an accessible Web. The paper concludes with the view that disability awareness, more than technology and policy, is perhaps the primary obstacle to a more universally accessible Web.

Abstract: With the advent of the World Wide Web and the emergence of e-commerce applications and social networks, organizations across the Web generate a large amount of data day-by-day. The abundant unstructured or semi-structured information on the Web leads a great challenge for both the users, who are seeking for effectively valuable information and for the business people, who needs to provide personalized service to the individual consumers, buried in the billions of web pages. To overcome these problems, data mining techniques must be applied on the Web. In this article, an attempt has been made to review the various web mining techniques to discover fruitful patterns from the Web, in detail. New concepts are also included in broad-sense for Optimal Web Mining. This paper also discusses the state of the art and survey on Web Mining that is used in knowledge discovery over the Web.

Abstract: The paper concerns Business Intelligence (BI) issue and the opportunities of using BI applications in organizations. BI enables to better understand not only the internal business processes, but also the competitive environment through the systematic acquisition, collation, analysis, interpretation and exploitation of information. It is considered that BI transforms the information into strategic knowledge. This allows for the identification of the opportunities and threats, which may occur on the market, while cooperating with customers, suppliers and competition. The main goal of this paper is to present the basic assumptions underlying the idea of BI and BI maturity as well as to identify the level of BI using in selected organizations. The structure of this paper is organized as follows. Firstly, an overview of subject literature on BI has been conducted. Then, the idea of BI maturity has been described. Different BI maturity models have been presented. Using an in-depth interview method, the results from the analysis of twenty organizations applying BI systems have been described. Gartner’s Maturity Model for Business Intelligence and Performance Management was used to assess the level of BI in surveyed organizations.

Abstract: The semantic web and linked data technologies show great promise for organising and integrating information on the Web. As custodians of bibliographic information, libraries are ideally placed to play a leading role by providing authoritative information in this domain. The semantic web and linked data have been hyped as the solution for everything from integrating legacy data-sets and improving search through to working with big data problems. However, the vision of the semantic web is a long way from being realised. This paper explores how linked data is being used in libraries and related institutions in Australia and globally. Examples are given of linked data in practice and what makes some projects more successful than others.

Abstract: Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations.Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

Abstract: The number of web services on the Internet is increasing continuously. Determining a web service’s domain is very helpful for many issues like web service discovery, composition and semantic annotation. Based on predefined domains, we implemented semi-automatic web service classification with supervised machine learning technique in the paper. First we exploited the process of web service classification with choosing element from web service description document, preprocessing data, mapping to a digital vector and applying classifier. Then service classification accuracy of single element and multi-element based on four machine learning algorithms were tested. At last, experimental results showed that C4.5 classifier had a higher accuracy and efficiency in web service classification. In addition, multi-element classification did not perform better than single element.

Abstract: A major propelling technology for electronic government (e-Government) is the powerful concept of Semantic Web Service. Semantically enriched Web services promise to increase the level of automation and to reduce integration efforts significantly. On the other hand, and due to the heterogeneous structure of the public sector, the achievement of interoperability and integration is a key challenge for a comprehensive e-Government. Therefore, the combination of e-Government and Semantic Web Services is very much natural. In this paper, we present a dynamic approach for semantically composing e-Government Web services based on Artificial Intelligence (AI) techniques. The overall objective of our approach is to improve the citizen centric e-Government vision by providing a platform for automatically discovering, composing and optimizing e-Government services.