Semantic Search Improves Results for Israeli Companies and Beyond 

For identifying the requested content, semantic search tries to combine the specific instance and the meaning of words (phrases). Using information that may not be easily obtainable in the text (the keywords themselves), but is strongly related to what the user is looking for, it goes beyond simple keyword selection.

This means that such a search selects results not only for a direct request, but also for its description. For example, a search for simple keywords looks like “blue coat”, while semantic search technology will match you with results for “classic outerwear”. Thus, this search is more intelligent and adaptive, and therefore innovative and modern.

Semantic technologies extract meaning from the context of data through the implementation of artificial intelligence. Companies and businesses in Israel could not help but take advantage of this in their activities. After all, Israel is a technologically advanced country with a large number of start-ups and established companies that are constantly looking for innovative ways to gain a competitive advantage.

In this article, we look at how semantic technologies are improving the performance of leading Israeli companies and helping them achieve their business goals.

One of the most significant applications of semantic search in Israel is in the field of natural language processing (NLP). NLP is a subfield of artificial intelligence that focuses on understanding and processing human language. With the help of semantic search, NLP algorithms can better understand the nuances and complexities of human language, resulting in more accurate and relevant results.

One Israeli company that has successfully implemented semantic technologies is Wix.com. A company with more than a decade of history was born thanks to three technically educated entrepreneurs. At some point, they realised that creating a website is a rather laborious and difficult process that also requires significant investments. This was the beginning of the foundation of the platform, which allows anyone who wants to make a website without having the specific skills of an IT specialist.

Many years later, their concept has been preserved. They work to enable any employee or individual to use powerful and constantly improving tools to write a great site.

Wix uses NLP algorithms to analyse data and identify patterns and trends. Using this data, Wix can quickly identify areas for improvement and make data-driven decisions to improve its product offerings.

Another one example of an Israeli company that has successfully used semantic technologies to improve its internal operations is Teva Pharmaceutical Industries, one of the world’s largest generic drug manufacturers.

The role of semantic and artificial intelligence in the life of Teva is to improve the process of developing drugs for various diseases of the body and mental ailments. Also, this pharmaceutical business uses advanced analytics to evaluate its performance.

Modern efficient technologies are used to provide feedback to digital devices, which in turn serve to detect diseases and eliminate them. In addition, they play an important role in the process of creating and testing new drugs.

Another Israeli company that has benefited from semantic technologies is Fiverr, an online marketplace for freelance services. Fiverr uses NLP algorithms to analyse gig descriptions and customer feedback to better understand the skills and expertise of its freelancers. This information is then used to make better recommendations to customers looking for specific services, which has helped Fiverr increase customer satisfaction and retention.

Semantic search has some drawbacks, like any effective technology

The cost of this or that implementation is something that every company warns about. Implementing such a search system can be quite expensive. Setting up the engine and its subsequent modernization are costly, as is the software itself.

In addition, natural language processing is a complex technology, as is semantic search in general. Correct tuning requires knowledge and a lot of effort.


The accuracy of issuing the search result depends on what request is received at the input of the system. If the optimization of the algorithms is insufficient or the data is of poor quality, then the user may be dissatisfied with the result of the answer to his request.

In conclusion, it should be noted that semantic search technologies improve the work of online companies and allow them to better compete in the global market. Overall, the benefits of semantic technologies far outweigh the challenges, and Israeli companies are well positioned to continue to lead the way in innovation and technology.

Using NLP and machine learning algorithms, companies can gain valuable insights from unstructured data, improve internal operations, and improve product offerings. Israeli companies are at the forefront of innovation and are constantly looking for new ways to use semantic technologies to gain a competitive advantage.

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