Introduction: WEB based INFORMATION tools including Search Engines; Meta Search Engines are used to find the needed INFORMATION in the World Wide WEB. The aim of this study was to WEB-based clinical research INFORMATION in endocrine diseases and compared search engines, Meta search engines and medical search endings in endocrine diseases.Methods: In this descriptive research, 5 search engine, 5 meta-search engines and 5 medical search engines are selected by the WEBsite of www.searchenginewatch.com as well-used internet search tools, were chosen. Endocrine diseases keywords were chosen from medical subject Headings (Mesh) and then selected terms of endocrinology were searched in each of search engines. The first 10 results of search engines were selected for evaluation of recall and precision. Data were analyzed with Excel.Results: According to the result of this study, "Google" showed the higher most retrieved results (43% precision, 32% recalls. Among the Medical search engines "Progofrog" got the first rank (70.9%), Google scholar (59.09%), Pub med (57.27%) precision and pub med, Google scholar, sires, midi search (8.9%) recall. In Meta search engine Mamma got the highest rank (28%) precision and (27%) recall.Conclusions: General and medical search and meta-search engines are appropriate tools for researcher or students or professional users and they have appropriate search capabilities and facilities. Although using search engines in retrieving relevant documents is useful for endocrinology experts, but it is suggested that users follow the search in several search engines to access the relevant documents among the vastly available sources on WEB.

Nowadays by growing of WEB and different technologies, we faced with INFORMATION deluge that we cannot process or create value from them easily. Most of this INFORMATION can be interpreted by humans and is not machine readable. Using of semantic technology which try to create machine readable INFORMATION can be a solution in this regard. Semantic WEB technologies by defining an ontology for sharing domain concepts help us to share INFORMATION or knowledge in the organization wide. KM 3.0 use semantic WEB to share knowledge to right people at right time. In this paper, we review some applications of semantic WEB in INFORMATION or knowledge management in different contexts and based on current literature, we present a general framework for managing INFORMATION by using semantic WEB technologies. Finally, we review current approaches for storing semantic WEB INFORMATION in rational databases and compare them based on defined criteria in literature.

Particulate and gaseous emissions of pollutants from industries and auto-exhausts are responsible for rising discomfort, aggravates respiratory and cardiovascular. In this study, a system for air quality INFORMATION in Tehran city has been developed, using an online WEB-based geographic INFORMATION system. This WEB-based GIS application allows users to recognize areas with a potential increase in its air pollution situation. In the developed system, all spatial positions of the monitoring stations are shown in the map of Tehran. Every 15 minutes the system is connected to the CO, NO2, SO2, PM10, PM2.5 and O3 data collected in the existing database in Air Quality Control Company through the designed WEB server. After processing the transmitted data, Pollutant Standard Index (PSI) will be calculated. Then with connecting to the monitoring stations, results will be shown on the Tehran map as graphic WEB pages and texts.