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With the rapid deployment of a number of sensors, it is crucial to efficiently manage their data streams with heterogeneous properties. To achieve various sensor applications such as discovery and mashup, a method of retrieving meaningful information from raw sensor data is required. However, it is hard to analyze and represent the sensor data since sensors generate streaming data of different patterns...
The computational cost of querying for similar entities across ontologies is high since, in the worst case, every pair of entities will have to be considered. Therefore, links discovered during ontology alignment have been used to speed up querying across ontologies by following relatedness links to discover similar entities. We derive the computational complexity of querying across ontologies using...
With the fast growth rate of information availability through the World Wide Web, search engines' ranking become limited to deal with such enormous amount of information. Web search engines should be enriched with methodologies that enable it to understand the content of Web pages, then to align pages to the correct query category that highly match its content. In this paper, a proposed system is...
Faceted browsing has become ubiquitous with modern digital libraries and online search engines, yet the process is still difficult to abstractly model in a manner that supports the development of interoperable and reusable interfaces. We propose category theory as a theoretical foundation for faceted browsing and demonstrate how the interactive process can be mathematically abstracted. Existing efforts...
Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine...
Reuse requires high-level representation models. Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that supports handling and reasoning. However, it lacks expressivity for some specific requirements. We propose, in this paper, to augment OWL with a new...
This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite comprises of multiple modules including InXite Registration and Dashboard, InXite Real-time Data Streamer, InXite Information Integrator and InXite Analytics...
The Harmonized Tariff Schedule for the classification of goods is a major determinant of customs duties and taxes. The basic HS Code is 6 digits long but can be extended according to the needs of the countries such as application of custom duties based on details of the product. Finding the correct, consistent, legally defensible HS Code is at the heart of Import Compliance. However finding the best...
Event-based online social networks are Internet-based services that enable users to participate in real world experiences together. Event-based social networks can be created by a community of end-users based on their own interests in specific types of event and sources of event information. We propose a method to create such event-based social networks through integration of existing online information...
Ontologies are reusable artifacts within the Software Engineering filed that are a pillar of the Semantic Web. Created in a different context, they can be adapted and applied in another context. This paper endeavors to develop a knowledge base in the form of an ontology that formalizes all aspects to do with culture and thus contribute to the preservation and dissemination of cultural knowledge. Written...
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