Search
In this digital age, data, information and knowledge are valuable assets for an increasing number of businesses, and effectively leveraging this data capital can be vital to a company's success.
Intelligent search systems
The quality of the search alone is often decisive for the success of a digital offering. Daily interaction with search engines on the web has a significant impact on user expectations. We help you to meet these expectations. Because only if your high-quality content can be found without effort and detours will it be used – both by your customers and by your employees.
However, the realization of a high-quality search is anything but trivial, but technologically demanding. inovex has the necessary experience in the most diverse areas of search and text analysis. We provide you with independent advice and take care of implementation from the first draft to operation in the data center.
Enterprise Search
A common use case for search technologies is classic enterprise search. As with searching on the Internet or in online stores, the user is given quick and easy access to the relevant information in the company – across the boundaries of file repositories or company databases. Naturally taking access rights and data protection into account. We build the bridge between your specialist domain and the specific search technologies and work with you to implement the perfect mix of a full-text search, the weighting of search terms and the fine-tuning of search behavior.
Search-based Applications
The inovex team also specializes in use cases that go beyond traditional search. Elasticsearch can also be operated as a high-performance document store and is therefore ideal for real-time analysis of big data, such as log data. In this context, the so-called “ELK Stack” is often used, consisting of the components Elasticsearch, Logstash, Kibana and data shippers from the Beats family. The integration of search technology into specific specialist applications can also bring additional benefits for users. If the focus is on searching and finding, this is referred to as search-based applications – another focus of our work.
Text Analytics
Closely related to search is the topic of text analytics. However, the focus here is not on finding individual documents, but on the automatic extraction of information from a large number of documents. This can be, for example, the hot topics in social networks, but also predefined categories or certain properties of emails, offers, visit reports, audits or any other text documents. Our team of data scientists with special expertise in natural language processing (NLP) in collaboration with specialists in data extraction and processing create individual solutions that not only deliver impressive, scientifically sound results, but also integrate seamlessly into your operational systems and processes.
Focus on Open Source
We are experts in open source search with Elasticsearch, but we can also advise you on Apache Solr and Lucene. For statistical methods for text mining and text analysis, we use R, Python or Mlib, depending on the application. Our Search & Text Analytics team supports you with design and implementation expertise in all phases of your project and through targeted knowledge transfer in the form of workshops and training. We look forward to taking your search to a new level and exploiting the full potential of your data capital.
Technologie-Stack Search
- Enterprise Search with Lucene, Solr, Elasticsearch
- Integration in applications and portals
- Machine Data Analysis with Elasticsearch, Logstash und Kibana
- Elasticsearch PlugIn development
- Search-based applications
- Integration Solr, Elasticsearch und Hadoop / HBase
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