The Gene Expression Omnibus (GEO) is an international public repository that archives and freely distributes microarray, next-generation sequencing, and other forms of highthroughput functional genomic data sets (1). Approximately 90% of the data in GEO are gene expression studies that investigate a broad range of biological themes including disease, development, evolution, immunity, ecology, t...

This paper presents the DIGMAP geo-temporal Web gazetteer service, a system providing access to names of places, historical periods, and associated geo-temporal information. Within the DIGMAP project, this gazetteer serves as the unified repository of geographic and temporal information, assisting in the recognition and disambiguation of geo-temporal expressions over text, as well as in resourc...

Regionalization and uniform/homogeneous region building constitutes one of the most longstanding concerns of geographers. In this paper we explore the Geo-Self-Organizing Map (Geo-SOM) as a tool to develop homogeneous regions and perform geographic pattern detection. The Geo-SOM presents several advantages over other available methods. The possibility of “what-if” analysis, coupled with powerfu...

This paper analyzes a discrete-time infinite-buffer Geo/Geo/2 queue, in which the number of servers can be adjusted depending on the number of customers in the system one at a time at arrival or at service completion epoch. Analytical closed-form solutions of the infinite-buffer Geo/Geo/2 queueing system operating under the triadic (0, Q N, M) policy are derived. The total expected cost functio...

2. OVERVIEW OF GIR SYSTEM 2.1 Pre-process The GIR system requires a text index and a geographic index. As the text index, those created for existing full-text search can be used. The geographic index is made by using NE recognizer, which locates place name expressions in texts as geo-references and geo-coder, which assigns coordinates to each geo-reference. The geographic index of our method al...

In geographic information science and semantics, the computation of semantic similarity is widely recognised as key to supporting a vast number of tasks in information integration and retrieval. By contrast, the role of geosemantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity. In this arti...

RNAnet provides a bridge between two widely used Human gene databases. Ensembl describes DNA sequences and transcripts but not experimental gene expression. Whilst GEO contains actual expression levels from many thousands of Human samples but, although samples in GEO can be queried by experiment, comparison across the whole of GEO is not supported. RNAnet provides immediate access to thousands ...

Today’s geo-location estimation approaches are able to infer the location of a target image using its visual content alone. These approaches exploit visual matching techniques, applied to a large collection of background images with known geo-locations. Users who are unaware that visual retrieval approaches can compromise their geo-privacy, unwittingly open themselves to risks of crime or other...

Smart Systems provide novel enabling functionalities and as such are currently a driving force behind product innovation. Smart Systems are, therefore, crucial for the competitiveness of companies and entire industry sectors. Geo-tagging and smart spaces are two promising directions in modern mobile market. Geo-tagging allows to markup any kind of data by geographical coordinates and time. This...