Code retrieval is to find the code snippet from a large corpus of source repositories that highly matches query natural language description. Recent work mainly uses processing techniques process both texts (i.e., human language) and snippets machine programming language), however neglecting deep structured features codes, which contain rich semantic information. In this paper, we propose an en...

Ontology Matching is nowadays a vivid area of Computer Science. There are several OM tools looking for correspondences between entities of ontologies. These correspondences are usual simple equivalence mapping pairs classto-class or property-to-property. In our work we concentrate on diverse kinds of semantic structures in ontologies in terms of their detection and mutual matching. For this kin...

In this paper, we propose a peer-to-peer based mobile environment consisting of stations providing semantic services and users with mobile devices which manage their owner’s semantic profile. In this environment the distributed computing power replaces centralized profile management. The service stations broadcast their services in a description logics based ontology language. When users equipp...

As the number of publicly available services grows, discovering proper services becomes an important issue and has attracted amount of attempts. This paper presents a new customizable and effective matchmaker, called SAWSDL-iMatcher. It supports a matchmaking mechanism, named iXQuery, which extends XQuery with various similarity joins for SAWSDL service discovery. Using SAWSDL-iMatcher, users c...

We present and evaluate an approach to hybrid semantic Web service matching, called OWLS-MX, that utilizes both logic based reasoning and content based information retrieval techniques for services specified in OWL-S. Results of our comparative measurements of performance and scalability of OWLS-MX variants and selected token-based IR similarity metrics provide experimental evidence that buildi...

The rapid development of smartphone sensors has provided rich indoor pedestrian trajectory data for indoor location-based applications. To improve the quality of these collected trajectory data, map matching methods are widely used to correct trajectories. However, these existing matching methods usually cannot achieve satisfactory accuracy and efficiency and have difficulty in exploiting the r...