From the web of data to a world of action

This is the author’s version of a work that was accepted for publication in Web Semantics: Science, Services and Agents on the World Wide Web. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Web Semantics: Science, Services and Agents on the World Wide Web 8.4 (2010): 10.1016/j.websem.2010.04.007This paper takes as its premise that the web is a place of action, not just information, and that the purpose of global data is to serve human needs. The paper presents several component technologies, which together work towards a vision where many small micro-applications can be threaded together using automated assistance to enable a unified and rich interaction. These technologies include data detector technology to enable any text to become a start point of semantic interaction; annotations for web-based services so that they can link data to potential actions; spreading activation over personal ontologies, to allow modelling of context; algorithms for automatically inferring 'typing' of web-form input data based on previous user inputs; and early work on inferring task structures from action traces. Some of these have already been integrated within an experimental web-based (extended) bookmarking tool, Snip!t, and a prototype desktop application On Time, and the paper discusses how the components could be more fully, yet more openly, linked in terms of both architecture and interaction. As well as contributing to the goal of an action and activity-focused web, the work also exposes a number of broader issues, theoretical, practical, social and economic, for the Semantic Web.Parts of this work were supported by the Information Society Technologies (IST) Program of the European Commission as part of the DELOS Network of Excellence on Digital Libraries (Contract G038- 507618). Thanks also to Emanuele Tracanna, Marco Piva, and Raffaele Giuliano for their work on On Time

The Gap of Supply and Demand on Accounting Education: A Picture of Readiness of Top 50 Universities in South East Asia toward Green Concern

This paper aims to take a picture on the university commitment toward sustainability development consideration. As a part of it, this paper also try to map the action taken by accounting education through its programs including curriculum development, research, campus activities programs showing green concern in creating sustainability development. As a descriptive study, this research took 50 universities on top South East Asia ranking web of world universities (Webometrics) in 2010. All data taken from information published on web in each universities as well as any information related with each universities provided in public sources. Using descriptive analysis it is found that mostly accounting education put their green-concern on hardcore facilities such as web-based learning as one of their delivery method supporting facilities. While findings shown that accounting education need to put more attention and effort on designing accounting curriculum, campus events, and research that carry ethics and socio-environment consideration to respond the ultimate demand from business sector. Eventually, this result expected to encourage accounting education especially in Indonesia to put more consideration and action in responding business requirement in creating sustainability development

How well Do Accounting Education Organizations Prepare Professional Accountants toward Green Concern: Figure of Top 50 Universities in South East Asia Responses on Business Requirement

This paper aims to capture a picture of university’s commitment toward sustainability development consideration. As a part of it, this paper also tries to map the action taken by accounting education organizations (AEOs) through its programs, including curriculum development, learning method, research, and campus activities programs showing green concern in creating sustainability development. As a descriptive study, this paper used 50 universities on top South-East Asia ranking web of world universities (Webometrics) in 2010. All data is taken from the information published on the web in each university as well as any other information that related to each university from the public domain. Based on the descriptive analysis, it is found that most AEO lay their green-concern on hardcore facilities rather than intrinsic development. Furthermore, as the recommendation in this paper, AEO needs to concentrate more toward designing accounting curriculum, campus events and research that carry ethics and socio-environment consideration to respond to the ultimate demand and balancing the rapid change from various sectors. Eventually, as the future contribution, this paper is expected to encourage AEO, especially in Indonesia to put more concerns and action in the crucial purpose of creating sustainability development

Understanding Real-Virtual Dynamics of Human Behavior from the Action Stream Perspective

This paper proposes a radical extension of our perspective for analyzing human behavior in the networked age. Online activities should be understood not as being only inside the virtual world but rather as initiated by people with real-world intentions for the purpose of bringing about certain real-world consequences. To grasp the whole stream of human behavior flowing from real-world intentions to virtual-world activity and back to real-world consequences, we propose the ‘action stream’ concept. The paper details the conceptual framework of the action stream and discusses theoretical and practical obstacles affecting its utilization. It also proposes a novel method for analyzing action streams by taking advantage of web search log data and Internet survey infrastructures

RAPID WEBGIS DEVELOPMENT FOR EMERGENCY MANAGEMENT

The use of spatial data during emergency response and management helps to make faster and better decisions. Moreover spatial data should be as much updated as possible and easy to access. To face the challenge of rapid and updated data sharing the most efficient solution is largely considered the use of internet where the field of web mapping is constantly evolving. ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action) is a non profit association founded by Politecnico di Torino and SITI (Higher Institute for the Environmental Systems) as a joint project with the WFP (World Food Programme). The collaboration with the WFP drives some projects related to Early Warning Systems (i.e. flood and drought monitoring) and Early Impact Systems (e.g. rapid mapping and assessment through remote sensing systems). The Web GIS team has built and is continuously improving a complex architecture based entirely on Open Source tools. This architecture is composed by three main areas: the database environment, the server side logic and the client side logic. Each of them is implemented respecting the MCV (Model Controller View) pattern which means the separation of the different logic layers (database interaction, business logic and presentation). The MCV architecture allows to easily and fast build a Web GIS application for data viewing and exploration. In case of emergency data publication can be performed almost immediately as soon as data production is completed. The server side system is based on Python language and Django web development framework, while the client side on OpenLayers, GeoExt and Ext.js that manage data retrieval and user interface. The MCV pattern applied to javascript allows to keep the interface generation and data retrieval logic separated from the general application configuration, thus the server side environment can take care of the generation of the configuration file. The web application building process is data driven and can be considered as a view of the current architecture composed by data and data interaction tools. Once completely automated, the Web GIS application building process can be performed directly by the final user, that can customize data layers and controls to interact with the

MINING OF WEB LOG FILES USING RELEVANT COMPUTING TECHNIQUES FOR IMPROVING FUTURE ANTICIPATION USAGE OF WEB NAVIGATION

The Internet has evolved extensively over the past few decades. Web navigation refers to the process of navigating a network of information resources in the World Wide Web, which is organized as hypertext or hypermedia. The navigation related to web navigation usability gets solved by comparing the actual and anticipated usage patterns. The actual usage pattern removed from web server logs are sporadically recorded in operational websites for handling the log data. This process is used to identify the users, user session and user task oriented transactions. The pattern can be discovered among the actual usage path by using the algorithms of data mining generally the ideal user’s interactive path models are framed by cognitive experts based on the cognition of user behavior, which is utilized to pull out the anticipated usage, that includes information about both the time required for user-oriented tasks and the mechanism to identify the user navigation problems here the usability issues get detected from the deviation of the data. It is observed that Genetic algorithms can be used as optimization methods and for corrective action to improve the web navigation usability

A RESTful Rule Management Framework for Internet of Things Applications

Web technologies are currently regarded as key enabling factors for the Internet of Things (IoT), and substantial effort is being dedicated to bringing sensors and data from the real world to the Web. In addition, rule-based automation mechanisms are expected to play a significant role in the effective integration of the physical world with the virtual world by leveraging a trigger-action paradigm. Although several rule engines are already available, limited effort has been devoted to rule-based solutions that are tailored to the IoT and consider rule configurability and extensibility according to application requirements. In this work, we propose a RESTful rule management framework for IoT applications that satisfies these requirements. The framework is centered around a resource-based graph, which enables the uniform representation of things (e.g., sensors and domain entities) and rules as URI-addressable resources. We describe the design and implementation choices of the main rule management features (rule scheduling, activation and RESTful operations for managing rules at various levels of configurability and extensibility). Finally, we present a case study and performance evaluation results regarding the use of this rule management framework in a set of school buildings that were part of a real-world IoT deployment that was realized within the Horizon 2020 GAIA research project, with the objective of promoting energy -saving behaviors in school communities

The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation

Source-Free Video Unsupervised Domain Adaptation (SFVUDA) task consists in adapting an action recognition model, trained on a labelled source dataset, to an unlabelled target dataset, without accessing the actual source data. The previous approaches have attempted to address SFVUDA by leveraging self-supervision (e.g., enforcing temporal consistency) derived from the target data itself. In this work, we take an orthogonal approach by exploiting "web-supervision" from Large Language-Vision Models (LLVMs), driven by the rationale that LLVMs contain a rich world prior surprisingly robust to domain-shift. We showcase the unreasonable effectiveness of integrating LLVMs for SFVUDA by devising an intuitive and parameter-efficient method, which we name Domain Adaptation with Large Language-Vision models (DALL-V), that distills the world prior and complementary source model information into a student network tailored for the target. Despite the simplicity, DALL-V achieves significant improvement over state-of-the-art SFVUDA methods.Comment: Accepted at ICCV2023, 14 pages, 7 figures, code is available at https://github.com/giaczara/dall