Home » Blog » Leveraging technology and Indexing expertise to enable researchers to discover content that is relevant
Researchers work with tones of diverse and complex information. A major portion of a researcher’s time is usually spent searching for research material. As the world goes digital, documents are becoming increasingly accessible only in digitized formats. Hence a technology such as indexing is a valuable reference tool for researchers who look for in-depth insights into their fields of research.
Indexing technology
Indexing technology help researchers locate potentially useful articles and abstracts that are located all over the web in different formats. Even as we speak, from newspapers to magazines, scholarly articles to research papers, everything is being indexed in universities and research organizations worldwide.
Universities and libraries around the world are adding digitized content to their existing resources. It is mainly for the purposes of study, teaching and research. Technology companies has begun to play an important role in enabling libraries to index all their content at a very low cost, as knowledge gets increasingly digitized. Digitizing existing library resources, and adding new digitized content constitute the key challenges of learning in today’s world. Digitized content has made information and knowledge accessible as never before to people where ever they may be.
So, what does indexing do?
To put it simply, indexing makes records searchable. If a record is not indexed, it may not be able to locate it. Ideally, records are indexed by the attributes that are searched most often. For example, if you are searching for books you are most likely to begin your search by title, author, content and also by genre. Indexing enables researchers locate the most relevant data in the shortest possible time. This reduces the time spent in locating documents, and makes teaching and research more effective.
When searching through digitized content, there are millions of records that match the researcher’s search criteria. Deciding which is the most relevant content is very critical in such cases, where-in new index terms and content make research more insightful.
Searching techniques have become easy, intuitive, rich and interactive. Machine learning, indexing and the use of keywords ensure that the search results are increasingly better by the day. Search engines based on advanced linguistic analysis and semantic dictionaries are integrating algorithms of approximate searching that enable a greater fault tolerance of search terms. The results are then much more accurate and relevant. Consequently, the lives of thousands of researchers in all domains has become a lot easier.
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