Social networks are a vital mechanism to disseminate information to friends and colleagues.
In this work, we investigate an important problem—the personalized influential topic search …

The abundance and ubiquity of RDF data (such as DBpedia and YAGO2) necessitate their
effective and efficient retrieval. For this purpose, keyword search paradigms liberate users …

More often than not, spatial objects are associated with some context, in the form of text,
descriptive tags (eg points of interest, flickr photos), or linked entities in semantic graphs (eg …

The daily trajectories of individual movements convey a concise overview of their behaviors,
with different social roles having different trajectory patterns. Therefore, we can identify users …

Triple-structured open data creates value in many ways. However, the reuse of datasets is
still challenging. Users feel difficult to assess the usefulness of a large dataset containing …

With the development of society and economy, the urban rail transit has become one of the
important components of urban transportation system, while the construction of the urban rail …

More often than not, spatial objects are associated with some context, in the form of text,
descriptive tags (eg, points of interest, flickr photos), or linked entities in semantic graphs …

The abundance and ubiquity of graphs (eg, online social networks such as Google++ and
Facebook; bibliographic graphs such as DBLP) necessitates the effective and efficient …

The optimal path planning is one of the hot spots in the research of intelligence
transportation and geographic information systems. There are many productions and …

Directed acyclic graph (DAG) is an essentially important model to represent terminologies
and their hierarchical relationships, such as Disease Ontology. Due to massive …