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Search features

Global Search Global search is usually the start page of the University Knoledge Base (UKB). It is used to comprehensively search over all object types at the same time (Everywhere option) or direct the query to a selected object type from the drop-down menu.

Type-oriented simple search For every record type the system provides a simple search form, sometimes also it provides advanced search form (see ​Advanced Search ).

Advanced search It allows one to adjust query details, and build an advanced query with logical operators, so that to obtain the most relevant results. In the case whe the MeSH based search is switched on, additionally it is possible to select pairs (descriptor + qualifier), so that a more accurate results can be obtained.

Expert search This function serves for finding experts in a domain, based on their achievements stored in the system (publications, projects, patents, etc). Querying is just like querying for any specific object type. Various additional criteria can be applied, e.g. global impact factor, citations, fund rasing cababilities. Moreover one can perform a search within a certain researchers group, e.g. PhD students, postdocs, etc.

Result page As a result of the search, the user receives a window with the results and a set of specified functions. One can use facets to drill down the data resource. The search terms are in red color. In addition number of records can be selected and used for generating advanced statistics by the reporting module.

Once a query is formulated the user can define an alert to control appearing in the future new relevant recordsOMEGA-PSIR is equipped with very powerful seach capabilities, based on the SOLR technology. For each object type there is a screen with simple search (google-like), and advanced search. The index is built from metadata records and, whenever applicable, from the attached full text documents.

Objects in the Knowledge Base are connected to each other using various relationships, so that they create a semantic network, which can be see as a graph structure. Searching in the system can be performed in two ways (see Search Modes ):

  • by taking into account the graph structure and indicating in the query how particular types of objects should be combined - this is a graph search

  • by ignoring the graph structure and treating individual network elements as related texts, the text of the publication's description is "extended" by the text of the person's description and we perform a search in such extended texts - we then have a text search.

The search results can be adjusted to the user profile, so the answer can be built taking into account the researcher’s “fingerpring” of his/her research. What is very specific for the system, one can use the obtained answer for building a specific report (bibliography, pivot showing a statistics of the contribution to the subject by faculties, etc.).

Profiles

As OMEGA-PSIR covers functionality of Research Profiling, one of the main features of the system is automatic building various profiles, such as the profiles of researchers, and units constituting the formal hierarchical structure of the university.

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