ENTERPRISE SEARCH & CONTENT ANALYTICS BLOG
IntraFind experts provide there insights into the world of enterprise search, metadata extraction and usage as well as content analytics. Please feel free to share our blog with your colleagues or business partners.
With its Linguistics Plugin, Intrafind enables users of the open source search engine Elasticsearch to get more complete and more relevant search results. The search specialist has now implemented some semantic extensions: the search for entities, numbers and units.
Read more … Semantic-linguistic indexing for better search results
The Corona crisis requires completely new approaches and solutions in professional cooperation. Without modern knowledge management companies cannot succeed - it has long been the driving force behind production, says Franz Kögl, CEO of IntraFind.
Read more … Knowledge is the driving force behind production
With Enterprise Search the intranet becomes a knowledge portal: Users of the content collaboration platform Confluence can easily upgrade their corporate wiki or intranet with the professional search functionality of IntraFind.
Read more … Fast and efficient search in Confluence
Augmentation means to increase, strengthen, expand and previously the term was known rather from the medical field. But augmentation is also an important factor in the field of software. Because software can support people and optimize their performance. A classic example is the enterprise search and analysis software of IntraFind, which uses artificial intelligence.
Read more … Artificial intelligence augments human intelligence
Search and retrieval, knowledge management and smart information logistics are central building blocks for every digitization project - both for companies and public authorities. With a good AI-based search and analysis software, even databases of billions of documents can be efficiently evaluated.
Read more … How public authorities benefit from Enterprise Search
The digital workplace is currently on everyone's lips. Manuel Brunner with his background in many years of project experience at IntraFind describes the important role Enterprise Search can play in this and what you should consider when setting up a digital workplace.
Read more … The Digital Workplace
Even nowadays technical documentation is mostly not valued as good or useful source of information. Too many incomprehensible or unmanageable documents have shaped the past and left behind frustrated or desperate users. Not to mention experts and technicians who prefer to rather trust their experience than long texts and inappropriate illustrations.
Read more … Content Delivery of Technical Information
Google recently announced to its Gold Partners that from 2017 on they no longer want to sell their Google Search Appliance, a hardware-software bundle that has been on the market since 2002. Google wants to solve this problem worldwide with a cloud-based application for companies. What is it all about the Google Search Cloud? Our idea for this is as follows.
Read more … Hardware was yesterday?
That’s right, we have always seen it this way.
What makes a good search engine? You type a sequence of letters and the document is searched for all occurrences of this combination. This way you can quickly and easily find certain text passages within a document. For a user who wants to find out more about a particular topic or the use of a particular word, such a basic search functionality would certainly not be enough.
Read more … Difficult Relations –
How Search Engines Can Be Expanded by Means of Word Families
IntraFind has long been known for high quality information retrieval. For our new product generation iFinder5 elastic we completely overhauled our core search technology consisting of our Lucene / Elasticsearch Analyzers and our Query Parser. In part 1 of this blog article I talk about advantages for the standard user and how we are able to reduce configuration efforts.
Read more … New High Quality Search and Linguistics for iFinder5 elastic
Identifying the language of a given text is a crucial preprocessing step for almost all text analysis methods. It is considered as a solved problem since more than 20 years. Available solutions build on the simple observation that for all languages typical letter sequences (letter n-grams) exist, that occur significantly more frequent in this language than in other languages.
Read more … Language Identification and Language Chunking
"Stemming" as well as "Lemmatization" are commonly used buzzwords in the field of Information Retrieval (IR), particularly in the development of powerful search engines. [...]
So what exactly is the difference between these two methods? What are the advantages and disadvantages and which one should be preferred? [...]
Read more … The difference between stemming and lemmatization
Some say software developers draw their motivation from minimizing or maximizing numbers in any given problem. That's a smug innuendo. From my experience, developers are always on the lookout for beautiful solutions, of which numbers are but a symptom. The usage of approximative data structures for language processing is one such example of a beautiful idea with nice numbers. [...]
Read more … Approximative data structures for natural language processing