A Knowledge-Based Approach to Enhance Provision of Location-Based Services in Wireless Environments

Abstract

Location-Based Services (LBS) are attracting a great interest with the fast expansion of mobile computing nowadays. These services use the user location to customize the offered information. However, most of those services are designed for specific scenarios and goals with implicit knowledge about the application context. As a consequence, hundreds of them are available (even with the same purpose). So, it is difficult for users to choose the most suitable service as they are in charge of knowing/finding the services which will be interesting for them, and handle the information that such services need. In this paper, we present an approach to handle LBS for mobile users which relieves them from knowing and managing the knowledge related to such services. This approach consists of a proposal for the modeling of such information as ontologies, which are handled by an agent-based architecture. Also, we propose to maintain updated the knowledge each mobile device contains by leveraging the exchange of information with others. For accessing the local knowledge, we present an SPARQL-like query language which avoids the ambiguities of natural language. Finally, we propose an approach to translate the user information needs into formal requests expressed in this query language, which could be later processed against the knowledge repositories to obtain the results the user needs. INDEX TERMS Location-based services, mobile computing, Semantic Web.

Intelligent SPARQL Query Generation for Natural Language Processing Systems

“…The idea is simple: for every pair of entities, a breath-first search of depth 2 is performed on the knowledge base. Yus et al [44] adopted SPARQL-like query language to express user's requests to access local knowledge from the knowledge repositories. To efficiently explore RDF data, Gorgojo et al [17] proposed a tool, named RDF Surveyor, that can deal with massive datasets.…”

User Context Ontology for Adaptive Mobile-Phone Interfaces

“…User interface adaptation methodology can be assisted by the knowledge of the context values and respective interaction design. There exist many semantically enriched context aware interaction and information modeling and designing approaches [12]- [15]. The semantic and ontological modeling is intended to provide a shared, formal concepts for as knowledge that can be linked, aligned, reuse and grow through evolution.…”

“…The current state of the art provide many semantic and ontological model developed as lower ontological model for specialized environment and context. The researchers have used the ontological modeling and knowledge representation techniques for the formal modeling of various domain and application concepts for better information retrieval, visualization, analysis and interaction design [12]- [15]. The research under discussion is targeted for a flexible and scalable middle level ontology for an adaptive user interface development.…”

The Correlation between the Jobs–Housing Relationship and the Innovative Development of Sci-Tech Parks in New Urban Districts: A Case Study of the Hangzhou West Hi-Tech Corridor in China

“…(see Figure 2 and Table 1) In this study, the 31 functional areas are considered the sampling ranges to calculate the average value of the indicators reflecting the development of STPs' enterprises in each area. Location-Based Service (LBS) refers to the location information of mobile terminal users obtained through a radio communication network [50]. As a type of big data, it is widely used in research related to geographic information and location services [51].…”