Is enterprise search useful at all?

Stocker, Alexander; Zoier, Markus; Softic, Selver; Paschke, Stefan; Bischofter, Heimo; Kern, Roman

doi:10.1145/2637748.2638425

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…En este contexto, ha aparecido el término de "búsqueda empresarial" (enterprise search), definido como la búsqueda en material digital de texto que pertenece a una organización, y que incluye la búsqueda en el sitio externo de la empresa, su intranet y en cualquier otro material electrónico de almacenamiento de texto como lo son los correos electrónicos, los registros en las bases de datos y los documentos compartidos (Stocker et al, 2014), (Hawking, 2004). La investigación en el campo de la búsqueda empresarial ha mostrado problemáticas que no pueden ser resueltas del todo con los sistemas de recuperación de información en base a palabras clave.…”

Section: Introductionunclassified

Recuperación de información a través del índice invertido en Be Intelligent

Vázquez-Reyes

León-Sigg²,

Velasco-Elizondo

et al. 2017

risti

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Resumen: Los avances en el almacenamiento de información han producido un aumento significativo de las colecciones de documentos digitales. La información contenida en estas colecciones es vital para la toma de decisiones, de manera que almacenar, indexar y recuperar información específica de estas colecciones es clave en las organizaciones, como lo establece el concepto de "búsqueda empresarial". Sin embargo, con la información almacenada en diferentes medios y formatos de archivo, la recuperación es una tarea compleja que los sistemas basados en palabras clave no resuelven completamente. Para proporcionar una solución a la administración de documentos digitales de ADD Intelligence in Aviation, se desarrolló el sistema Be Intelligent que utiliza un índice invertido para indexar y recuperar fácilmente los contenidos de documentos que satisfacen una consulta hecha en lenguaje natural. De esta manera se reduce el tiempo para encontrar la información que la empresa necesita durante la inspección de aeronaves.Palabras-clave: índice invertido, recuperación de información, precisión, ranking recíproco promedio, búsqueda empresarial. Information retrieval through inverted index in Be Intelligent systemAbstract: Advances in information storage have produced a significant rise of digital document collections. The information contained in these collections is vital to decision making, so store, index and recover specific information from these collections is key in organizations, as "enterprise search" concept establishes. However, with information stored in different media and file formats, retrieval is a complex task that systems based on keywords do not completely solve. To offer a solution to store, index and recover digital document contents for ADD Intelligence in Aviation enterprise, Be Intelligent system was developed. Be Intelligent uses an inverted index to easily index and recover the contents of documents that satisfy a natural language query. As a result, time to find information needed to inspect airplanes, is reduced.

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Section: Introductionunclassified

Recuperación de información a través del índice invertido en Be Intelligent

Vázquez-Reyes

León-Sigg²,

Velasco-Elizondo

et al. 2017

risti

View full text Add to dashboard Cite

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Improving Enterprise Wide Search in Large Engineering Multinationals: A Linguistic Comparison of the Structures of Internet-Search and Enterprise-Search Queries

Jones

Xie

McMahon

et al. 2016

Product Lifecycle Management in the Era of Internet of Things

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General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. The results show enterprise search users are far more likely to search using nouns, with 97% of queries containing at least one noun. This compares to 89% for Internet users. 60% of enterprise queries are single nouns compared to 38% for Internet search users. In total, enterprise queries fell into 41 lexical classes (noun-noun/adjective-noun/etc.) whilst Internet search contained 95 classes. Of those 41 classes only 12% contained no nouns, compared to 21% for Internet search. 80% of the enterprise search queries can be covered by just four Lexical classes compared to 15 for Internet search. 90% coverage required 11 classes for enterprise and 44 classes for the Internet.These findings appear to support existing literature in that they show a preference for enterprise searches for specific information using domain specific terms. This paper concludes by considering the implications of these findings for enterprise search systems and PLM in the context of a large engineering organization and in particular proposes two areas of future research.

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Company taxonomy development: the case of an international emergency response organization

Lund

Ørnager

2016

Aslib Journal of Information Management

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Company Taxonomy development : the case of an international emergency response organizationPurpose -This study aims to explore theoretically and empirically the understanding and implementation of an information taxonomy in the UN organization World Food Programme (WFP) by analyzing users' information behavior and by establishing a minimum set of cross silo metadata (taxonomy).Design/methodology/approach -The study implies the use of both qualitative and quantitative methods. This includes desk review of key documents and interviews with information architecture staff from various WFP units; data collection carried out as semi structured staff interviews in WFP; log analyses of search log files from WFP intranet portal (WFPgo) from September -November 2013, the results were applied and a suggested taxonomy tested at workshops conducted for the staff in HQ. Findings-The results reveal an organization with a high demand for easier access to information and knowledge, greater internal collaborations and stronger links with various sources of knowledge. Staff participating in the various workshops pointed out that work processes as well as the human resources component cannot be left out of a solution development.Originality/value -There has been little research carried out on current taxonomy projects in corporate environments and international emergency response organizations and few has touched on how knowledge organization systems can enhance or constrain staff's ability to access online content.

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Is enterprise search useful at all?

Cited by 3 publications

References 27 publications

Recuperación de información a través del índice invertido en Be Intelligent

Recuperación de información a través del índice invertido en Be Intelligent

Improving Enterprise Wide Search in Large Engineering Multinationals: A Linguistic Comparison of the Structures of Internet-Search and Enterprise-Search Queries

Company taxonomy development: the case of an international emergency response organization

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