Using Ontology Based Semantic Association Rule Mining in Location Based Services
نویسندگان
چکیده
منابع مشابه
Using Ontology Based Semantic Association Rule Mining in Location Based Services
Recently, GPS and mobile devices allowed collecting a huge amount of mobility data. Researchers from different communities have developed models and techniques for mobility analysis. But they mainly focused on the geometric properties of trajectories and do not consider the semantic facet of moving objects. The techniques are good at extracting patterns, but they are hard to interpret in a spec...
متن کاملOntology Mapping based on Association Rule Mining
Ontology mapping is one of the most important processes in ontology engineering. It is imposed by the decentralized nature of both the WWW and the Semantic Web, where heterogeneous and incompatible ontologies can be developed by different communities. Ontology mapping can be used to establish efficient information sharing by determining correspondences among such ontologies. The ontology mappin...
متن کاملData sanitization in association rule mining based on impact factor
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that counterparts cannot discover the sensitive patterns and so data confidentiality is preserved ag...
متن کاملUsing Ontology Based Knowledge Discovery in Location Based Services
Rapid development of information technology for mobile computing, improvement in the accuracy of positioning systems, and ubiquitous use of mobile devices has generated large quantities of raw trajectories that represent the movement of moving objects. Mining such data, which contain not only space and time attributes, but also context attributes, is significant for many applications within the...
متن کاملAn Executive Approach Based On the Production of Fuzzy Ontology Using the Semantic Web Rule Language Method (SWRL)
Today, the need to deal with ambiguous information in semantic web languages is increasing. Ontology is an important part of the W3C standards for the semantic web, used to define a conceptual standard vocabulary for the exchange of data between systems, the provision of reusable databases, and the facilitation of collaboration across multiple systems. However, classical ontology is not enough ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Data Mining & Knowledge Management Process
سال: 2016
ISSN: 2231-007X,2230-9608
DOI: 10.5121/ijdkp.2016.6501