THE LANGUAGE USED BY INDONESIAN LOCAL GUIDES IN GOOGLE MAPS REVIEWS

Google Maps is web-mapping service developed by Google. It provides a satellite imagery, street maps, street 360°-views, Google traffic (real-time conditions), and route-planning. One of many Google Maps features is it allows the users to give a rating, add some photos and leave a review of some places where they might ever visited or have few information about the places. By sharing some information about some particular places on review such as hotel, tourist sites, stores, restaurant, etc. it can help people who intend to visit the places to get information about it. By this article, the writer aims to find out the language used by the Google Maps users particularly, Indonesian local guides in giving the review of some particular places. Do they use their native language, Indonesian or even foreign language? Therefore, the scopes of this writing cover: 1) classification of the local guides based on the language used to give review in Google Maps 2) analyzing the language used by local guides. The data of the article is limited only a hundred Indonesian Local Guides, chosen randomly and by the numbers, it obtained 6319 reviews. The writer would use the data from some reviews on Google Maps. The steps would take to reveal all issues in this paper as follows: 1) collecting and reducing the data by listing a hundred Indonesian Local Guides, 2) identifying the reviews given based on the language that is used, whether it is frequently in Indonesian, English or even native language; 3) analyzing the language used based on its content, and 4) concluding all the findings. It can be concluded that mostly, ILGs use English to review various places on Maps. They have tendency to write in English for possibly particular reasons. Some public places are often being reviewed using English, even it is certain that majority of people who are looking for some information from Maps are local people (Indonesian). Some reviews written by ILGs do not completely provide information about the details of the place

Good Codes From Generalised Algebraic Geometry Codes

Algebraic geometry codes or Goppa codes are defined with places of degree one. In constructing generalised algebraic geometry codes places of higher degree are used. In this paper we present 41 new codes over GF(16) which improve on the best known codes of the same length and rate. The construction method uses places of small degree with a technique originally published over 10 years ago for the construction of generalised algebraic geometry codes.Comment: 3 pages, to be presented at the IEEE Symposium on Information Theory (ISIT 2010) in Austin, Texas, June 201

Spatial information retrieval and geographical ontologies: an overview of the SPIRIT project

A large proportion of the resources available on the world-wide web refer to information that may be regarded as geographically located. Thus most activities and enterprises take place in one or more places on the Earth's surface and there is a wealth of survey data, images, maps and reports that relate to specific places or regions. Despite the prevalence of geographical context, existing web search facilities are poorly adapted to help people find information that relates to a particular location. When the name of a place is typed into a typical search engine, web pages that include that name in their text will be retrieved, but it is likely that many resources that are also associated with the place may not be retrieved. Thus resources relating to places that are inside the specified place may not be found, nor may be places that are nearby or that are equivalent but referred to by another name. Specification of geographical context frequently requires the use of spatial relationships concerning distance or containment for example, yet such terminology cannot be understood by existing search engines. Here we provide a brief survey of existing facilities for geographical information retrieval on the web, before describing a set of tools and techniques that are being developed in the project SPIRIT : Spatially-Aware Information Retrieval on the Internet (funded by European Commission Framework V Project IST-2001-35047)

Categorization of indoor places by combining local binary pattern histograms of range and reflectance data from laser range finders

This paper presents an approach to categorize typical places in indoor environments using 3D scans provided by a laser range finder. Examples of such places are offices, laboratories, or kitchens. In our method, we combine the range and reflectance data from the laser scan for the final categorization of places. Range and reflectance images are transformed into histograms of local binary patterns and combined into a single feature vector. This vector is later classified using support vector machines. The results of the presented experiments demonstrate the capability of our technique to categorize indoor places with high accuracy. We also show that the combination of range and reflectance information improves the final categorization results in comparison with a single modality

LocLinkVis: A Geographic Information Retrieval-Based System for Large-Scale Exploratory Search

In this paper we present LocLinkVis (Locate-Link-Visualize); a system which supports exploratory information access to a document collection based on geo-referencing and visualization. It uses a gazetteer which contains representations of places ranging from countries to buildings, and that is used to recognize toponyms, disambiguate them into places, and to visualize the resulting spatial footprints.Comment: SEM'1

Communicating Agricultural Information in Remote Places: Part I

Proceedings of the IXth World Congress of the International Association of Agricultural Information Specialists. January 23-26, 1995. Melbourne, Australia

Communicating Agricultural Information in Remote Places: Part I

Proceedings of the IXth World Congress of the International Association of Agricultural Information Specialists. January 23-26, 1995. Melbourne, Australia