4,244 research outputs found
Bridging abstraction layers in process mining
While the maturity of process mining algorithms increases and more process
mining tools enter the market, process mining projects still face the
problem of different levels of abstraction when comparing events with modeled
business activities. Current approaches for event log abstraction try to
abstract from the events in an automated way that does not capture the
required domain knowledge to fit business activities. This can lead to misinterpretation
of discovered process models. We developed an approach that
aims to abstract an event log to the same abstraction level that is needed
by the business. We use domain knowledge extracted from existing process
documentation to semi-automatically match events and activities. Our abstraction
approach is able to deal with n:m relations between events and
activities and also supports concurrency. We evaluated our approach in two
case studies with a German IT outsourcing company
Automatic semantic video annotation in wide domain videos based on similarity and commonsense knowledgebases
In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this framework detects possible events occurring in video clips, it forms the annotating base of video search engine. To achieve this purpose, the system has to able to operate on uncontrolled wide-domain videos. Thus, all layers have to be based on generic features.
This framework aims to bridge the "semantic gap", which is the difference between the low-level visual features and the human's perception, by finding videos with similar visual events, then analyzing their free text annotation to find a common area then to decide the best description for this new video using commonsense knowledgebases.
Experiments were performed on wide-domain video clips from the TRECVID 2005 BBC rush standard database. Results from these experiments show promising integrity between those two layers in order to find expressing annotations for the input video. These results were evaluated based on retrieval performance
Matching events and activities by integrating behavioral aspects and label analysis
Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we developed a semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis. The approach extracts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources. The evaluation with synthetic and real-life data demonstrates the effectiveness of the approach and its robustness toward non-conforming execution logs
Matching events and activities by integrating behavioral aspects and label analysis
Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution of a process. These event data can be used to analyze the process using process mining techniques to discover the real process, measure conformance to a given process model, or to enhance existing models with performance information. Mapping the produced events to activities of a given process model is essential for conformance checking, annotation and understanding of process mining results. In order to accomplish this mapping with low manual effort, we developed a semi-automatic approach that maps events to activities using insights from behavioral analysis and label analysis. The approach extracts Declare constraints from both the log and the model to build matching constraints to efficiently reduce the number of possible mappings. These mappings are further reduced using techniques from natural language processing, which allow for a matching based on labels and external knowledge sources. The evaluation with synthetic and real-life data demonstrates the effectiveness of the approach and its robustness toward non-conforming execution logs
Challenges and opportunities of applying natural language processing in business process management
The Business Process Management (BPM) field focuses in the coordination of labor so that organizational processes are smoothly executed in a way that products and services are properly delivered. At the same time, NLP has reached a maturity level that enables its widespread application in many contexts, thanks to publicly available frameworks. In this position paper, we show how NLP has potential in raising the benefits of BPM practices at different levels. Instead of being exhaustive, we show selected key challenges were a successful application of NLP techniques would facilitate the automation of particular tasks that nowadays require a significant effort to accomplish. Finally, we report on applications that consider both the process perspective and its enhancement through NLP.Peer ReviewedPostprint (published version
TendĂȘncias do BPM
Dissertação de mestrado integrado em Engenharia e Gestão de Sistemas de InformaçãoAtualmente, as organizaçÔes encontram-se inseridas em ambientes de mercado cada vez mais competitivos, deparando-se com vårias dificuldades, em que face a estas, necessitam de encontrar soluçÔes. Por essa razão, viram o BPM como uma solução para melhorar o seu negócio.
Um dos objetivos do BPM Ă© ter a capacidade de identificar, monitorar e otimizar processos de negĂłcio cujo resultado final Ă© um conjunto de atividades realizadas. Com base nesta monitorização e otimização, as organizaçÔes tornam-se capazes de identificar possĂveis lacunas nos seus processos e com isto melhorĂĄ-los.
Com isto, verificou-se a falta de informação existente cientificamente em relação Ă identificação de novas tendĂȘncias para o BPM. Neste sentido, com este trabalho propomos realizar uma investigação seguindo a metodologia de pesquisa em Design Science Research, em que iniciamos uma pesquisa de levantamento de tendĂȘncia seguindo a abordagem proposta por Webster e Watson (2002), com base em duas conferĂȘncias internacionais em BPM de ranking elevado, em que se identificou os tĂłpicos mais abordados como tambĂ©m problemas e soluçÔes desde 2013 atĂ© 2015.
Posteriormente, com informação recolhida ao longo de trĂȘs anos, atravĂ©s da criação de um framework identificamos algumas tendĂȘncias para o BPM, de forma a melhorĂĄ-lo.
Para garantir a credibilidade dos resultados, através da criação de um inquérito por questionårio realizou-se a avaliação dos resultados obtidos.Nowadays, the market gets more and more competitive, thus companies need to learn how to manage and find the right solutions for their business when facing challenges. For that reason, they saw BPM as a great tool to expand their business.
One of the features of BPM is the capacity to identify, monetize and optimize processes within the business which ultimately allow for an aggregation of performed activities. Thanks to these features, the business have been capable of identifying possible gaps in their processes and how to improve them.
With this, it was verified the lack of scientific information regarding the identification of new trends for BPM. Therefore, with this work we propose to conduct an investigation that follows the searching methodology in Design Science Research, where we initiate a search of lifting trends as proposed by Webster and Watson (2002). This is based on two international conferences on BPM, in which it identified the most discussed topics and also the problems and solutions since 2013 until 2015.
After this investigation, with collected information over 3 years, through the creation of framework we identify some BPM trends.
To approve this results, we created a survey that was held an evaluation of the final results
From Sensor to Observation Web with Environmental Enablers in the Future Internet
This paper outlines the grand challenges in global sustainability research and the objectives of the FP7 Future Internet PPP program within the Digital Agenda for Europe. Large user communities are generating significant amounts of valuable environmental observations at local and regional scales using the devices and services of the Future Internet. These communitiesâ environmental observations represent a wealth of information which is currently hardly used or used only in isolation and therefore in need of integration with other information sources. Indeed, this very integration will lead to a paradigm shift from a mere Sensor Web to an Observation Web with semantically enriched content emanating from sensors, environmental simulations and citizens. The paper also describes the research challenges to realize the Observation Web and the associated environmental enablers for the Future Internet. Such an environmental enabler could for instance be an electronic sensing device, a web-service application, or even a social networking group affording or facilitating the capability of the Future Internet applications to consume, produce, and use environmental observations in cross-domain applications. The term ?envirofied? Future Internet is coined to describe this overall target that forms a cornerstone of work in the Environmental Usage Area within the Future Internet PPP program. Relevant trends described in the paper are the usage of ubiquitous sensors (anywhere), the provision and generation of information by citizens, and the convergence of real and virtual realities to convey understanding of environmental observations. The paper addresses the technical challenges in the Environmental Usage Area and the need for designing multi-style service oriented architecture. Key topics are the mapping of requirements to capabilities, providing scalability and robustness with implementing context aware information retrieval. Another essential research topic is handling data fusion and model based computation, and the related propagation of information uncertainty. Approaches to security, standardization and harmonization, all essential for sustainable solutions, are summarized from the perspective of the Environmental Usage Area. The paper concludes with an overview of emerging, high impact applications in the environmental areas concerning land ecosystems (biodiversity), air quality (atmospheric conditions) and water ecosystems (marine asset management)
Bridging the gap between textual and formal business process representations
Tesi en modalitat de compendi de publicacionsIn the era of digital transformation, an increasing number of organizations are start ing to think in terms of business processes. Processes are at the very heart of each business, and must be understood and carried out by a wide range of actors, from both technical and non-technical backgrounds alike.
When embracing digital transformation practices, there is a need for all involved parties to be aware of the underlying business processes in an organization. However, the representational complexity and biases of the state-of-the-art modeling notations pose a challenge in understandability. On the other hand, plain language representations, accessible by nature and easily understood by everyone, are often frowned upon by technical specialists due to their ambiguity.
The aim of this thesis is precisely to bridge this gap: Between the world of the techni cal, formal languages and the world of simpler, accessible natural languages. Structured as an article compendium, in this thesis we present four main contributions to address specific problems in the intersection between the fields of natural language processing and business process management.A lâera de la transformaciĂł digital, cada vegada mĂ©s organitzacions comencen a pensar en termes de processos de negoci. Els processos sĂłn el nucli principal de tota empresa i, com a tals, han de ser fĂ cilment comprensibles per un ampli ventall de rols, tant perfils tĂšcnics com no-tĂšcnics. Quan sâadopta la transformaciĂł digital, Ă©s necessari que totes les parts involucrades estiguin ben informades sobre els protocols implantats com a part del procĂ©s de digitalitzaciĂł. Tot i aixĂČ, la complexitat i biaixos de representaciĂł dels llenguatges de modelitzaciĂł que actualment conformen lâestat de lâart sovint en dificulten la seva com prensiĂł. Dâaltra banda, les representacions basades en documentaciĂł usant llenguatge natural, accessibles per naturalesa i fĂ cilment comprensibles per tothom, moltes vegades sĂłn vistes com un problema pels perfils mĂ©s tĂšcnics a causa de la presĂšncia dâambigĂŒitats en els textos. Lâobjectiu dâaquesta tesi Ă©s precisament el de superar aquesta distĂ ncia: La distĂ ncia entre el mĂłn dels llenguatges tĂšcnics i formals amb el dels llenguatges naturals, mĂ©s accessibles i senzills. Amb una estructura de compendi dâarticles, en aquesta tesi presentem quatre grans lĂnies de recerca per adreçar problemes especĂfics en aquesta intersecciĂł entre les tecnologies dâanĂ lisi de llenguatge natural i la gestiĂł dels processos de negoci.Postprint (published version
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