Sachit Rajbhandari

• PhD in Geomatic Engineering
• Software Engineer at The Commonwealth Scientific and Industrial Research Organisation

Ontology-driven Geographic Object-Based Image Analysis (O-GEOBIA) contributes to the identification of meaningful objects. In fusing data from multiple sensors, the number of feature variables is increased and object identification becomes a challenging task. We propose a methodological contribution that extends feature variable characterisation. T...

The importance of remote sensing image analysis is ever increasing due to its ability to supply meaningful geographic information that informs local and global problems, such as measuring urban sprawl, mapping vegetation communities, monitoring the impacts of global climate change, and managing natural resources and urban planning. In this process...

In Geographic Object-based Image Analysis (GEOBIA), identification of image objects is normally achieved using rule-based classification techniques supported by appropriate domain knowledge. However, GEOBIA currently lacks a systematic method to formalise the domain knowledge required for image object identification. Ontology provides a representat...

We introduce VocBench, an open source web application for editing thesauri complying with the SKOS and SKOS-XL standards. VocBench has a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated user roles provide a clean separation of competences, addressing different specificities ranging fr...

VocBench is an open source web application for editing of SKOS and SKOS-XL thesauri, with a strong focus on collaboration, supported by workflow management for content validation and publication. Dedicated user roles provide a clean separation of competences, addressing different specificities ranging from management aspects to vertical competences...

Born in the early 1980's as a multilingual agricultural thesaurus, AGROVOC has steadily evolved over the last fifteen years, moving to an electronic version around the year 2000, and embracing the Semantic Web shortly thereafter. Today AGROVOC is a SKOS-XL concept scheme published as Linked Open Data, containing links (as well as backlinks) and ref...

Data sharing is essential for government agencies during disaster management as it requires high collaborative efforts among various organizations. Recently, social media have been increasingly used during emergencies and disasters for disseminating and receiving information to and from the public. By using social media for communications, the gove...

The Food and Agriculture Organization is developing a concept based multilingual vocabulary management tool to manage thesauri, authority lists and glossaries expressed as concept schemes ready to be used in a linked data environment. In this paper, we described the evolution of the AGROVOC thesaurus to AGROVOC Concept Scheme based on OWL (web onto...

AGROVOC plays a significant role in setting the standards as a common data model for representing and linking multilingual information from Agriculture, Forestry, Fisheries, Food and other related domains resources unequivocally. Researchers, librarians, terminologist and information managers from international organizations leverage on AGROVOC as...

The Food and Agriculture Organization of the United Nations (FAO) is recognized as an information and knowledge-base organization. FAO's activities comprise four main areas which are closely related to various aspects of information and knowledge: capture and analyze, disseminate and share, localize and provide. The goal of developing and maintaini...

The tendency of representing information in a form that could be better elaborated by computers (the so called "machine readable format") (Berners-Lee 1998) initiated years ago, expanded to many domains, among which agriculture. The Food and Agriculture Organization of the United Nations, The Kasetsart University and the Indian Institute of Technol...

Valuable knowledge has been distributed in heterogeneous formats on many different Web sites and other sources over the Internet. However, finding the needed information is a complex task since there is a lack of semantic relations and organization between them. This chapter presents a problem-solving map framework for extracting and integrating kn...

Ontology plays an important role in the enhancement performance of systems, addressing issues such as knowledge sharing, knowledge aggregation as well as information retrieval and question answering. This paper presents the AGROVOC Concept Server Workbench (ACSW) for multilingual ontological concept construction and maintenance. The ACSW is a web 2...

An ontological knowledge management system requires dynamic and encapsulating operation in order to share knowledge among communities. The key to success of knowledge sharing in the field of agriculture is using and sharing agreed terminologies such as ontological knowledge especially in multiple languages. This paper proposes a workbench with thre...

This paper introduces a semantic layer, called visual topic maps, to build a bridge between annotated document collections and the use of these documents as learning material. The main components of a visual classi¯cation are metadata-based topic maps attached to documents that allow customization according to users' needs and profiles. The metadat...

Web-based blogging has entered the mainstream of society as an easy way to publish information, and it is exponentially increasing the data volume and its related complexity. Spatial-temporal information (Where and When contexts) contained inside multimedia postings needs to be better semantically handled by search engines or by end-users as curren...

With the breakthrough of Web blog, this easy way to publish information increases exponentially the data volume and its related complexity. Spatial-temporal information (about where and when) contained inside multimedia postings need to be better understood by search engines or by end-users as it lacks semantics. The semantic web community has prom...

An ontological knowledge management system requires dynamic and encapsulating operation in order to share knowledge among communities. The key to success of knowledge sharing in the field of agriculture is using and sharing agreed terminologies such as ontological knowledge especially in multiple languages. This paper proposes a workbench with thre...

Since the advent of blogging, this easy way to publish information has exponentially increased the data volume and its related complexity. Spatial-temporal information, contained inside multimedia postings, need to be better understood by search engines or by end-users as blogs still lack semantic management. The semantic web community has promoted...

Semantic Blogging is an ideal means to solve the current problem of authoring the learning objects with its lightweight publishing capabilities, low barrier to entry information, syndication and aggregation behavior and decentralized aggregation of the information. The semantic web community has promoted Topic Maps as an enabling technology to redu...