Zaenal Akbar

Extending the Schema.org Vocabulary for More Expressive Accommodation Annotations

Schema.org was founded in 2011 by the search engine companies, Bing, Google, Yahoo! and Yandex. The purpose was to develop a vocabulary which is compact and easy to use, yet powerful and expressive, to describe “things” on the Web and to make them machine read- and understandable. For the tourism sector however, the vocabulary provided in the versions up to 3.0 was too shallow to make an expressive structured description of, for example, a hotel. So far schema.org/Hotel provides vocabulary for describing a hotel’s core data, like name, address and description, an email address, a phone number or offers. Detailed descriptions, like the number of beds in a room, the bed type or whether pets are allowed or not, are not possible. In this paper we present our work on an extension of schema.org towards better, more expressive annotations of accommodation data. We introduce 12 new types and 10 new properties and evaluate how this extension can be used on hotel Web sites to annotate content in a machine readable, expressive way.

Reverse Method for Labeling the Information from Semi-Structured Web Pages

We propose a new technique to infer the structure and extract the tokens of data from the semi-structured web sources which are generated using a consistent template or layout with some implicit regularities. The attributes are extracted and labeled reversely from the region of interest of targeted contents. This is in contrast with the existing techniques which always generate the trees from the root. We argue and show that our technique is simpler, more accurate and effective especially to detect the changes of the templates of targeted web pages.

GRID architecture through a public cluster

An architecture to enable some blocks consisting of several nodes in a public cluster connected to different grid collaborations is introduced. It is realized by inserting a web-service in addition to the standard Globus Toolkit. The new web-service performs two main tasks : authenticate the digital certificate contained in an incoming requests and forward it to the designated block. The appropriate block is mapped with the user name of the blockpsilas owner contained in the digital certificate. It is argued that this algorithm opens an opportunity for any blocks in a public cluster to join various global grids.

Exhaustive search-based model for hybrid sensor network

A new model for a cluster of hybrid sensors network with multi sub-clusters is proposed. The model is in particular relevant to the early warning system in a large scale monitoring system in, for example, a nuclear power plant. It mainly addresses to a safety critical system which requires real-time processes with high accuracy. The mathematical model is based on the extended conventional search algorithm with certain interactions among the nearest neighborhood of sensors. It is argued that the model could realize a highly accurate decision support system with less number of parameters. A case of one dimensional interaction function is discussed, and a simple algorithm for the model is also given.

An integrated software-based solution for modular and self-independent networked robot

An integrated software-based solution for a modular and self-independent networked robot is introduced. The wirelessly operatable robot has been developed mainly for autonomous monitoring works with full control over Web. The integrated software solution covers three components : a) the digital signal processing unit for data retrieval and monitoring system; b) the externally executable codes for control system; and c) the Web programming for interfacing the end-users with the robot. It is argued that this integrated software-based approach is crucial to realize a flexible, modular and low development cost mobile monitoring apparatus.

On Generating Stories from Semantically Annotated Tourism-Related Content

In online marketing communication, publication consistency and content diversity are two important factors for marketing success. Especially in the tourism industry, having a strong online presence through the dissemination of high-quality content is highly desired. A method to maintain these two factors is by collecting and remixing various user-generated contents available on the Web and presenting them more interestingly. This method, known as content curation, has been widely used in social media. Multiple social media content can be aggregated for further consumption, for instance by listing them in historical order or grouping them according to particular topics. While the amount of user-generated content available on the Web is continuously increased, finding and selecting content to be mixed into a meaningful story are mainly performed manually by humans. These are challenging tasks due to the vast amount of accessible content on the Web, presented in various formats, and available in distributed sources. In this paper, we propose a method to automatically generate stories in the tourism industry by leveraging rule-based system over a collection of semantically annotated content. The method utilizes data dynamics of annotations, detected through a rule-based system, to identify the relevant content to be selected and mixed. We evaluated our method with a collection of semantically annotated tourism-related content from the region of Tyrol, Austria with promising results.

Pattern discovery for semi-structured web pages using bar-tree representation

Abstract—Many websites with an underlying database containingstructured data provide the richest and most dense source of infor-mation relevant for topical data integration. The real data integrationrequires sustainable and reliable pattern discovery to enable accuratecontent retrieval and to recognize pattern changes from time to time;yet, extracting the structured data from web documents is still lackingfrom its accuracy. This paper proposes the bar-tree representation todescribe the whole pattern of web pages in an efficient way bas edon the reverse algorithm. While previous algorithms always trace thepattern and extract the region of interest from top root, the reversealgorithm recognizes the pattern from the region of interest to bothtop and bottom roots simultaneously. The attributes are then extractedand labeled reversely from the region of interest of targeted contents.Since using conventional representations for the algorithm shouldrequire more computational power, the bar-tree method is developedto represent the generated patterns using bar graphs characterizedby the depths and widths from the document roots. We show thatthis representation is suitable for extracting the data from the semi-structured web sources, and for detecting the template changes oftargeted pages. The experimental results show perfect recognitionrate for template changes in several web targets.Keywords—data extraction, data mining, web-based informationsystem

Public Infrastructure for Monte Carlo Simulation : publicMC@BATAN

The first cluster‐based public computing for Monte Carlo simulation in Indonesia is introduced. The system has been developed to enable public to perform Monte Carlo simulation on a parallel computer through an integrated and user friendly dynamic web interface. The beta version, so called publicMC@BATAN, has been released and implemented for internal users at the National Nuclear Energy Agency (BATAN). In this paper the concept and architecture of publicMC@BATAN are presented.

OpenPC : A Toolkit for Public Cluster with Full Ownership

The openPC is a set of open source tools that realizes a parallel machine and distributed computing environment divisible into several independent blocks of nodes, and each of them is remotely but fully in any means accessible for users with a full ownership policy. The openPC components address fundamental issues relating to security, resource access, resource allocation, compatibilities with heterogeneous middlewares, user-friendly and integrated web-based interfaces, hardware control and monitoring systems. These components have been deployed successfully to the LIPI Public Cluster which is open for public use. In this paper, the unique characteristics of openPC due to its rare requirements are introduced, its components and a brief performance analysis are discussed.