STRUS - For Sophisticated Search Applications

STRUS is a new open-source software for sophisticated search and find applications. Eurospider supports STRUS due to its flexibility in support of new retrieval models. This aspect is relevant since the optimization of search applications for specific user needs and data is one of Eurospider’s key skills.

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It is straightforward to configure set-oriented retrieval models with STRUS. Even though these models have been known for a long time, they can provide effective ranking, such as, for instance, when matching subject headings where occurrence frequencies are irrelevant.

The STRUS libraries are published under MPL (Mozilla Public License) 2.0.

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Information Retrieval

The objective of Information Retrieval (IR) is to search large data collections for information relevant to a user’s information requirements. The term “information retrieval” was coined by Calvin Mooers in 1950. Like “research” the word “retrieval” does not refer to refinding something. It rather relates to the information retrieval paradox: “If I knew what I was searching for, I wouldn’t be searching for it.”

Information retrieval is focuses on three dimensions: systems and applications, theory and models, evaluation. Various retrieval models exist, such as Vector Space Model (VSM) and probabilistic and language models. For evaluatio,n recall and precision are often used. SMART was an early retrieval system that dealt with all three aspects. RankBrain is a more recent retrieval system based on TensorFlow.

WebGND

The Integrated Authority File (German: Gemeinsame Normdatei or GND) is an international authority file used and maintained by the German National Library (German: Deutsche Nationalbibliothek or DNB), all German-language library associations, the Zeitschriftendatenbank (ZDB) and many other institutions. WebGND is an online application that supports navigation and search within this large database which consists of more than 11 million records covering personal names, corporate names, meeting names, geographic names, topical terms and uniform work titles.

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