Name
Abstract | ||
|---|---|---|
In this work we take a first step towards the problem of integrating the content and the spatio-temporal aspects of the evolution of the (published) scientific knowledge. A lot of research has been invested in developing tools and search engines that will enable more efficient querying of relevant medical (and broader scientific) data from various perspectives, spanning from retrieval of similar documents/images to HCI-based flexible query-answering systems. Variety of methodologies have been developed, founded on knowledge-bases, statistics, semantic similarity, etc. and quite a few systems are available (e.g., Medline). Parallel to this, another body of research works has emerged over the past couple of decades, targeting the efficient management of mobility and spatio-temporal data. What motivates this work is the observation that fusing the data (and corresponding techniques) developed in these two broad research fields could enable novel categories of queries that can be used to investigate various evolving spatio-temporal relationships between particular scientific topics. |
Year | Venue | Field |
|---|---|---|
2017 | ADBIS (Short Papers and Workshops) | Semantic similarity,Data science,Data mining,Sociology of scientific knowledge,Computer science,Knowledge engineering,MEDLINE |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Goce Trajcevski | 1 | 1732 | 141.26 |
| Xu Teng | 2 | 0 | 0.34 |
| Shailav Taneja | 3 | 0 | 0.34 |