創新及科技解決方案

解決方案編號

S-0335

解決方案名稱

谷歌雲搜索

解決方案描述

Google Cloud Search (GCS) exploits Artificial Intelligence, Natural Language Processing and Machine Learning technology to bring instant query recommendation and serve the most relevant results over 100 different content platforms and across more than 100 different languages.

Google Cloud Search delivers enterprise grade search capability through strong and comprehensive SDKs and ready-to-use APIs to support and handle the scalably index vast amounts of structural and unstructural data from any sources in either On Premise or Cloud environment anytime.

According to ready to make 100+ connectors, you may experience the index of your third-party content from dozens of enterprise data sources as easily, efficiently and effectively as you can. In the meantime, GCS can deliver highly secure enterprise search capability under periodically change of permission within organization personnel evolves which the search results reflect under the security authorized models by granular access-level controls which are comprising different levels of assessment such as individual-level, group-level, and content-based hierarchies in order to ensure that right users only see the right search results which are granted.

應用領域

Google Cloud Search allows employees of a company to search and retrieve information, such as internal documents, database fields, and CRM data, from the company's internal data repositories.

使用的技術

Repository, Data source, Search interface, Search application, Schema, Content connector, Identity connector

使用例子

It is often that most of departments/Bureaus are looking for solutions that can facilitate the searching of files in various file formats (e.g. .jpg, .doc, .xls, .ppt, .dwg, .pdf) through the department’s various Intranet systems (e.g. Intranet, eDMS, ERKS, etc.). Currently the files are stored in different systems, and users can only conduct keyword search in a single system at one time and repeat the search procedure again till the result is matched.


According to the huge amount of document volume and unfamiliarity of metadata definition, it may take a long time and much effort to search for files by categories, names or descriptions through each single system. Some files are not well tagged and inevitably a large proportion of files are scanned images of aged hard copies which are difficult for users to find them out. Thus, it is quite often that those scanned documents will require applying OCR to recognize the contents as text and tag with keywords to make them searchable.

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