I developed a tool using Java Swing. The tool imports an ontology that is a graph of SOA terms (nodes) and named relationships (links) between them. This tool searches Services Oriented Architectures (SOA) terms in hundreds of text files located in a selected folder. The tool adds extra information in the text files by annotating them. Using this annotation, the tool builds a virtual links (rather than physical href links) creating a virtual network among the text files.
Underwater Acoustic Sensor Networks
I developed a 3D simulator Java and JavaFX. During the last couple of years, there is a growing interest in underwater wireless sensor networks (UWSNs). One important reason is that they can improve ocean exploration and fulfill the needs of a multitude of underwater applications, including: oceanographic data collection, warning systems for natural disasters (e.g., seismic and tsunami monitoring), ecological applications (e.g., pollution, water quality and biological monitoring), military underwater surveillance, assisted navigation, industrial applications, offshore exploration.
Semantic Browser: Traversing Documents by Using Semantic Relationships
Semantic Browser is a tool that enables the users to traverse among the semantically connected documents easily. The documents are connected by using the relationships, such as “causes”, “adjacent to”, “produces”…etc.
Semantic Browser uses RDF ontologies for annotating documents with semantic information. The tool allows users to search for related information based on knowledge captured by the ontology. Let’s say you are looking for documents containing measles and what causes the disease. The tool allows you to enter the two terms measles and caused-by from a list of concepts and relationships to find concepts that complete the relationship given the information in the ontology. So, in this example the tool suggests causes for measles and allows you to select one of them. Once you would identify these causes, you will receive the documents that contain the information about causes for measles. Other relationships can be explored by the tool. For example, instead of causes, you could search co-occurs with. So the navigation of information is based on the semantic in the ontology.