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  • Scalable and data-aware SQL query recommendations
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-18
    Natalia Arzamasova; Klemens Böhm

    SQL query recommendation suggests an SQL statement to a user, based on his submitted requests and on queries of other users stored in a log. Such methods need to be scalable and data-aware. Data awareness means that the filtering condition, the most crucial element of the recommendation, contains actual values. Otherwise, the query is not directly executable. Existing approaches do not satisfy the

    更新日期:2020-09-20
  • A knowledge-intensive adaptive business process management framework
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-10
    Huseyin Kir; Nadia Erdogan

    Business process management has been the driving force of optimization and operational efficiency for companies until now, but the digitalization era we have been experiencing requires businesses to be agile and responsive as well. In order to be a part of this digital transformation, delivering new levels of automation-fueled agility through digitalization of BPM itself is required. However, the automation

    更新日期:2020-09-18
  • Cause vs. effect in context-sensitive prediction of business process instances
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-14
    Jens Brunk; Matthias Stierle; Leon Papke; Kate Revoredo; Martin Matzner; Jörg Becker

    Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned with its goals. Few approaches for tackling this challenge consider a multi-perspective view, where the flow perspective of the process is combined with its surrounding context. Given the many sources of data in today’s world

    更新日期:2020-09-18
  • Feature-oriented engineering of declarative artifact-centric process models
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-10
    Rik Eshuis

    Declarative artifact-centric process models are suitable for specifying knowledge-intensive processes. Currently, such models need to be designed from scratch, even though existing model fragments could be reused to gain efficiency in designing and maintaining declarative artifact-centric process models. To address this problem, this paper proposes an approach for composing model fragments, abstracted

    更新日期:2020-09-10
  • Detection of batch activities from event logs
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-10
    Niels Martin; Luise Pufahl; Felix Mannhardt

    Organizations carry out a variety of business processes in order to serve their clients. Usually supported by information technology and systems, process execution data is logged in an event log. Process mining uses this event log to discover the process’ control-flow, its performance, information about the resources, etc. A common assumption is that the cases are executed independently of each other

    更新日期:2020-09-10
  • On the appropriateness of Platt scaling in classifier calibration
    Inform. Syst. (IF 2.466) Pub Date : 2020-09-10
    Björn Böken

    Many applications using data mining and machine learning techniques require posterior probability estimates besides often highly accurate predictions. Classifier calibration is a separate branch of machine learning that aims at transforming classifier predictions into posterior class probabilities and thus are useful additional extensions in the respective applications. Among the existing state-of-the-art

    更新日期:2020-09-10
  • Controlled flexibility in blockchain-based collaborative business processes
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-29
    Orlenys López-Pintado; Marlon Dumas; Luciano García-Bañuelos; Ingo Weber

    Blockchain technology enables the execution of collaborative business processes involving mutually untrusted parties. Existing tools allow such processes to be modeled using high-level notations and compiled into smart contracts that can be deployed on blockchain platforms. However, these tools do not provide mechanisms to cope with the flexibility requirements inherent to open and dynamic collaboration

    更新日期:2020-08-29
  • Towards holistic Entity Linking: Survey and directions
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-24
    Italo L. Oliveira; Renato Fileto; René Speck; Luís P.F. Garcia; Diego Moussallem; Jens Lehmann

    Entity Linking (EL) empowers Natural Language Processing applications by linking relevant mentions found in raw textual data to precise information about what they supposedly stand for. However, EL approaches have mostly focused on particular kinds of inputs and frequently fail to properly handle texts from specific sources (e.g., microblogs) that have particularities such as grammatical errors, slangs

    更新日期:2020-08-24
  • Collaborative filtering over evolution provenance data for interactive visual data exploration
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-18
    Houssem Ben Lahmar, Melanie Herschel

    In interactive visual data exploration, users rely on recommendations on what data to explore next. EVLIN is a system that recommends queries to retrieve these data for the next exploration step, paired with suited visualizations. This paper extends EVLIN by combining its content-based recommendations with recommendations leveraging collaborative filtering to improve the effectiveness of recommendation-based

    更新日期:2020-08-18
  • OILog: An online incremental log keyword extraction approach based on MDP-LSTM neural network
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-14
    Xiaoyu Duan, Shi Ying, Hailong Cheng, Wanli Yuan, Xiang Yin

    Log keyword extraction is an indispensable part of log anomaly detection. There are two main challenges in keyword extraction, one is that the essence of logs is unstructured, and different vendors usually define different log formats, the other one is that the most of the traditional method cannot update the log keywords incrementally to match the newly generated log data, so the extraction accuracy

    更新日期:2020-08-14
  • In-situ visual exploration over big raw data
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-07
    Nikos Bikakis, Stavros Maroulis, George Papastefanatos, Panos Vassiliadis

    Data exploration and visual analytics systems are of great importance in Open Science scenarios, where less tech-savvy researchers wish to access and visually explore big raw data files (e.g., json, csv) generated by scientific experiments using commodity hardware and without being overwhelmed in the tedious processes of data loading, indexing and query optimization. In this paper, we present our work

    更新日期:2020-08-07
  • Every apprentice needs a master: Feedback-based effectiveness improvements for process model matching
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-04
    Christopher Klinkmüller, Ingo Weber

    Process models are a central element of modern business process management technology. When adopting such technology, organizations inevitably establish process model collections which, depending on the degree of adoption, can reach sizes of thousands of models. Process model matching techniques are intended to assist experts in the management of such large collections, e.g., in querying the collections

    更新日期:2020-08-04
  • Knowledge-guided unsupervised rhetorical parsing for text summarization
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-03
    Shengluan Hou, Ruqian Lu

    Automatic text summarization (ATS) has recently achieved impressive performance thanks to recent advances in deep learning and the availability of large-scale corpora. However, there is still no guarantee that the generated summaries are grammatical, concise, and convey all salient information as the original documents have. To make the summarization results more faithful, this paper presents an unsupervised

    更新日期:2020-08-03
  • XChange: A semantic diff approach for XML documents
    Inform. Syst. (IF 2.466) Pub Date : 2020-08-01
    Alessandreia Oliveira, Troy Kohwalter, Marcos Kalinowski, Leonardo Murta, Vanessa Braganholo

    XML documents are extensively used in several applications and evolve over time. Identifying the semantics of these changes becomes a fundamental process to understand their evolution. Existing approaches related to understanding changes (diff) in XML documents focus only on syntactic changes. These approaches compare XML documents based on their structure, without considering the associated semantics

    更新日期:2020-08-01
  • Privacy-aware data cleaning-as-a-service
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-31
    Yu Huang, Mostafa Milani, Fei Chiang

    Data cleaning is a pervasive problem for organizations as they try to reap value from their data. Recent advances in networking and cloud computing technology have fueled a new computing paradigm called Database-as-a-Service, where data management tasks are outsourced to large service providers. In this paper, we consider a Data Cleaning-as-a-Service model that allows a client to interact with a data

    更新日期:2020-07-31
  • Exploiting semantic relationships for unsupervised expansion of sentiment lexicons
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-29
    Felipe Viegas, Mário S. Alvim, Sérgio Canuto, Thierson Rosa, Marcos André Gonçalves, Leonardo Rocha

    The literature in sentiment analysis has widely assumed that semantic relationships between words cannot be effectively exploited to produce satisfactory sentiment lexicon expansions. This assumption stems from the fact that words considered to be “close” in a semantic space (e.g., word embeddings) may present completely opposite polarities, which might suggest that sentiment information in such spaces

    更新日期:2020-07-29
  • DimensionSlice: A main-memory data layout for fast scans of multidimensional data
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-25
    Ilhyun Suh, Yon Dohn Chung

    Multidimensional data are exploited in many application areas such as scientific data analysis, business intelligence, and geographic information systems. One of the most frequent operations applied to such multidimensional data is the selection of a subspace of the given multidimensional space, which involves predicate evaluation on multiple dimensions. Existing main-memory data layouts optimized

    更新日期:2020-07-25
  • Fragments of bag relational algebra: Expressiveness and certain answers
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-22
    Marco Console; Paolo Guagliardo; Leonid Libkin

    While all relational database systems are based on the bag data model, much of theoretical research still views relations as sets. Recent attempts to provide theoretical foundations for modern data management problems under the bag semantics concentrated on applications that need to deal with incomplete relations, i.e., relations populated by constants and nulls. Our goal is to provide a complete characterization

    更新日期:2020-07-22
  • Relevance- and interface-driven clustering for visual information retrieval
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-13
    Mohamed Reda Bouadjenek, Scott Sanner, Yihao Du

    Search results of spatio-temporal data are often displayed on a map, but when the number of matching search results is large, it can be time-consuming to individually examine all results, even when using methods such as filtered search to narrow the content focus. This suggests the need to aggregate results via a clustering method. However, standard unsupervised clustering algorithms like K-means (i)

    更新日期:2020-07-13
  • Decentralized data access control over consortium blockchains
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-09
    Yaoliang Chen, Shi Chen, Jiao Liang, Lance Warren Feagan, Weili Han, Sheng Huang, X. Sean Wang

    Blockchain is an emerging data management technology that enables people in a collaborative network to establish trusted connections with the other participants. Recently consortium blockchains have raised interest in a broader blockchain technology discussion. Instead of a fully public, autonomous network, consortium blockchain supports a network where participants can be limited to a subset of users

    更新日期:2020-07-09
  • Providing accurate answers to OLAP queries based on standardized moments of data cubes
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-08
    Elaheh Pourabbas

    In this paper, we focus on the problem of providing accurate estimates to a target data cube from sets of source data cubes, which share the same summary measures. We investigate the acyclic and cyclic schemas of data sources and show that the more accurate target data cube can be computed on the basis of third and fourth standardized moments (i.e., skewness and kurtosis, respectively) of the source

    更新日期:2020-07-08
  • Processing tweets for cybersecurity threat awareness
    Inform. Syst. (IF 2.466) Pub Date : 2020-07-04
    Fernando Alves, Aurélien Bettini, Pedro M. Ferreira, Alysson Bessani

    Receiving timely and relevant security information is crucial for maintaining a high-security level on an IT infrastructure. This information can be extracted from Open Source Intelligence published daily by users, security organisations, and researchers. In particular, Twitter has become an information hub for obtaining cutting-edge information about many subjects, including cybersecurity. This work

    更新日期:2020-07-04
  • Hate speech detection is not as easy as you may think: A closer look at model validation (extended version)
    Inform. Syst. (IF 2.466) Pub Date : 2020-06-30
    Aymé Arango; Jorge Pérez; Barbara Poblete

    Hate speech is an important problem that is seriously affecting the dynamics and usefulness of online social communities. Large scale social platforms are currently investing important resources into automatically detecting and classifying hateful content, without much success. On the other hand, the results reported by state-of-the-art systems indicate that supervised approaches achieve almost perfect

    更新日期:2020-07-01
  • A review of topic modeling methods
    Inform. Syst. (IF 2.466) Pub Date : 2020-06-18
    Ike Vayansky, Sathish A.P. Kumar

    Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic modeling have been developed which consider many kinds of relationships and restrictions within datasets; however, these methods are not frequently employed. Instead many researchers gravitate to Latent Dirichlet Analysis, which although flexible and adaptive, is not always suited for modeling more complex data

    更新日期:2020-06-18
  • Using a modelling language to describe the quality of life goals of people living with dementia
    Inform. Syst. (IF 2.466) Pub Date : 2020-06-15
    James Lockerbie; Neil Maiden

    Although now well established, our information systems engineering theories and methods are applied only rarely in disciplines beyond systems development. This paper reports the application of the i* goal modelling language to describe the types of and relationships between quality of life goals of people living with dementia. Published social care frameworks to manage and improve the lives of people

    更新日期:2020-06-15
  • Comprehending 3D and 4D ontology-driven conceptual models: An empirical study
    Inform. Syst. (IF 2.466) Pub Date : 2020-06-03
    Michaël Verdonck, Frederik Gailly, Sergio de Cesare

    This paper presents an empirical study that investigates the extent to which the pragmatic quality of ontology-driven models is influenced by the choice of a particular ontology, given a certain understanding of that ontology. To this end, we analyzed previous research efforts and distilled three hypotheses based on different metaphysical characteristics. An experiment based on two foundational ontologies

    更新日期:2020-06-03
  • Continuous outlier mining of streaming data in flink
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-29
    Theodoros Toliopoulos, Anastasios Gounaris, Kostas Tsichlas, Apostolos Papadopoulos, Sandra Sampaio

    In this work, we focus on distance-based outliers in a metric space, where the status of an entity as to whether it is an outlier is based on the number of other entities in its neighborhood. In recent years, several solutions have tackled the problem of distance-based outliers in data streams, where outliers must be mined continuously as new elements become available. An interesting research problem

    更新日期:2020-05-29
  • Scenario-based process querying for compliance, reuse, and standardization
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-27
    Artem Polyvyanyy, Anastasiia Pika, Arthur H.M. ter Hofstede

    Process models constitute valuable artifacts for organizations. A process model formally captures the way an organization works internally and interacts with its customers and partners. Over time, more models may be created as business practices evolve (leading to different versions of models) or an organization expands, e.g., through mergers or acquisitions. It is not uncommon for large organizations

    更新日期:2020-05-27
  • Three-dimensional Entity Resolution with JedAI
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-27
    George Papadakis, George Mandilaras, Luca Gagliardelli, Giovanni Simonini, Emmanouil Thanos, George Giannakopoulos, Sonia Bergamaschi, Themis Palpanas, Manolis Koubarakis

    Entity Resolution (ER) is the task of detecting different entity profiles that describe the same real-world objects. To facilitate its execution, we have developed JedAI, an open-source system that puts together a series of state-of-the-art ER techniques that have been proposed and examined independently, targeting parts of the ER end-to-end pipeline. This is a unique approach, as no other ER tool

    更新日期:2020-05-27
  • Sports analytics — Evaluation of basketball players and team performance
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-23
    Vangelis Sarlis, Christos Tjortjis

    Given the recent trend in Data Science (DS) and Sports Analytics, an opportunity has arisen for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper reviews background and advanced basketball metrics used in National Basketball Association (NBA) and Euroleague games. The purpose of this paper is to benchmark existing performance analytics used in the literature for

    更新日期:2020-05-23
  • Scalable alignment of process models and event logs: An approach based on automata and S-components
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-22
    Daniel Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa

    Given a model of the expected behavior of a business process and given an event log recording its observed behavior, the problem of business process conformance checking is that of identifying and describing the differences between the process model and the event log. A desirable feature of a conformance checking technique is that it should identify a minimal yet complete set of differences. Existing

    更新日期:2020-05-22
  • Eras: Improving the quality control in the annotation process for Natural Language Processing tasks
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-21
    Jonatas S. Grosman, Pedro H.T. Furtado, Ariane M.B. Rodrigues, Guilherme G. Schardong, Simone D.J. Barbosa, Hélio C.V. Lopes

    The increasing amount of valuable, unstructured textual information poses a major challenge to extract value from those texts. We need to use NLP (Natural Language Processing) techniques, most of which rely on manually annotating a large corpus of text for its development and evaluation. Creating a large annotated corpus is laborious and requires suitable computational support. There are many annotation

    更新日期:2020-05-21
  • DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-16
    David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Juan A. Asenjo, Álvaro Olivera-Nappa
    更新日期:2020-05-16
  • Vadalog: A modern architecture for automated reasoning with large knowledge graphs
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-11
    Luigi Bellomarini; Davide Benedetto; Georg Gottlob; Emanuel Sallinger

    The introduction of novel Datalog +/- fragments with good theoretical properties, together with the growing use of enterprise knowledge graphs motivated the development of Vadalog, a knowledge graph management system developed at the University of Oxford. It adopts Warded Datalog +/- as the core of its language for knowledge representation and reasoning, which exhibits a very good tradeoff between

    更新日期:2020-05-11
  • Process discovery with context-aware process trees
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-08
    Roee Shraga; Avigdor Gal; Dafna Schumacher; Arik Senderovich; Matthias Weidlich

    Discovery plays a key role in data-driven analysis of business processes. The vast majority of contemporary discovery algorithms aims at the identification of control-flow constructs. The increase in data richness, however, enables discovery that incorporates the context of process execution beyond the control-flow perspective. A “control-flow first” approach, where context data serves for refinement

    更新日期:2020-05-08
  • SchemaDecrypt++: Parallel on-line Versioned Schema Inference for Large Semantic Web Data sources
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-06
    Kenza Kellou-Menouer, Zoubida Kedad

    A growing number of linked data sources are published on the Web. They form a single huge data space referred to as the Web of data. These data sources contain both the data and the schema describing them, but the data is not constrained by this schema. Indeed, two instances of the same class may be described by different properties. This flexibility for describing the data eases their evolution, but

    更新日期:2020-05-06
  • Explaining data with descriptions
    Inform. Syst. (IF 2.466) Pub Date : 2020-05-04
    Matteo Paganelli, Paolo Sottovia, Antonio Maccioni, Matteo Interlandi, Francesco Guerra

    With the advent of Big Data, it is impossible for a human user to properly inspect and understand data at a glance. In this paper, we introduce the problem of generating data descriptions: a set of compact, readable and insightful formulas of boolean predicates that represents a set of data records. Unfortunately, finding the best description for a dataset is both NP-hard and task-specific. Therefore

    更新日期:2020-05-04
  • Recommender systems for smart cities
    Inform. Syst. (IF 2.466) Pub Date : 2020-04-28
    Lara Quijano-Sánchez, Iván Cantador, María E. Cortés-Cediel, Olga Gil

    Among other conceptualizations, smart cities have been defined as functional urban areas articulated by the use of Information and Communication Technologies (ICT) and modern infrastructures to face city problems in efficient and sustainable ways. Within ICT, recommender systems are strong tools that filter relevant information, upgrading the relations between stakeholders in the polity and civil society

    更新日期:2020-04-28
  • Evaluation of factors contributing to the failure of information systems in public universities: The case of Iran
    Inform. Syst. (IF 2.466) Pub Date : 2020-04-24
    Siamak Kheybari, Fariba Mahdi Rezaie, S. Ali Naji, Mahsa Javdanmehr, Jafar Rezaei

    In this paper, we evaluate the reasons for the failure of information systems in public universities. To that end, we start by presenting a hierarchical structure of criteria after reviewing related studies, and dividing the criteria into the categories of project management, organizational management, human-related, organizational and technical. To assess the weight of the criteria in the proposed

    更新日期:2020-04-24
  • Automatic latent street type discovery from web open data
    Inform. Syst. (IF 2.466) Pub Date : 2020-04-24
    Yihong Zhang, Panote Siriaraya, Yukiko Kawai, Adam Jatowt

    Street categorization is an important topic in urban planning and in various applications such as routing and environment monitoring. Typically streets are classified as commercial, residential, and industrial. However, such broad categorization is insufficient to capture the rich properties a street may possess, and often cannot be used for specific applications. Previous works have proposed several

    更新日期:2020-04-24
  • A survey on graph-based methods for similarity searches in metric spaces
    Inform. Syst. (IF 2.466) Pub Date : 2020-02-25
    Larissa C. Shimomura; Rafael Seidi Oyamada; Marcos R. Vieira; Daniel S. Kaster

    Technology development has accelerated the volume growth of complex data, such as images, videos, time series, and georeferenced data. Similarity search is a widely used approach to retrieve complex data, which aims at retrieving similar data according to intrinsic characteristics of the data. Therefore, to facilitate the retrieval of complex data using similarity searches, one needs to organize large

    更新日期:2020-04-21
  • Using agile methodologies for adopting COBIT
    Inform. Syst. (IF 2.466) Pub Date : 2020-02-19
    Ana Cláudia Amorim; Miguel Mira da Silva; Rúben Pereira; Margarida Gonçalves

    COBIT 5 is a widely-used framework for implementing sound governance of enterprise IT (GEIT). Currently, the ISACA’s official implementation solution follows a sequentially ordered process, raising several issues related with lack of commitment from top management and misaligned solutions. Nevertheless, new project life-cycle strategies have emerged along with the agile paradigm for project management

    更新日期:2020-04-21
  • Re-ranking via local embeddings: A use case with permutation-based indexing and the nSimplex projection
    Inform. Syst. (IF 2.466) Pub Date : 2020-02-13
    Lucia Vadicamo; Claudio Gennaro; Fabrizio Falchi; Edgar Chávez; Richard Connor; Giuseppe Amato

    Approximate Nearest Neighbor (ANN) search is a prevalent paradigm for searching intrinsically high dimensional objects in large-scale data sets. Recently, the permutation-based approach for ANN has attracted a lot of interest due to its versatility in being used in the more general class of metric spaces. In this approach, the entire database is ranked by a permutation distance to the query. Typically

    更新日期:2020-04-21
  • Bitpart: Exact metric search in high(er) dimensions
    Inform. Syst. (IF 2.466) Pub Date : 2020-02-04
    Alan Dearle; Richard Connor

    We define BitPart (Bitwise representations of binary Partitions), a novel exact search mechanism intended for use in high-dimensional spaces. In outline, a fixed set of reference objects is used to define a large set of regions within the original space, and each data item is characterised according to its containment within these regions. In contrast with other mechanisms only a subset of this information

    更新日期:2020-04-21
  • A comprehensive analysis of delayed insertions in metric access methods
    Inform. Syst. (IF 2.466) Pub Date : 2020-01-11
    Humberto Razente; Maria Camila N. Barioni; Regis M. Santos Sousa

    Similarity queries are fundamental operations for applications that deal with complex data. This paper presents MIA (Metric Indexing Assisted by auxiliary memory with limited capacity), a new delayed insertion approach that can be employed to create enhanced dynamic metric access methods through short-term memories. We present a comprehensive evaluation of delayed insertion methods for metric access

    更新日期:2020-04-21
  • CoPModL: Construction Process Modeling Language and Satisfiability Checking
    Inform. Syst. (IF 2.466) Pub Date : 2019-11-27
    Elisa Marengo; Werner Nutt; Matthias Perktold

    Process modeling has been widely investigated in the literature and several general purpose approaches have been introduced, addressing a variety of domains. However, generality goes to the detriment of the possibility to model details and peculiarities of a particular application domain. As acknowledged by the literature, known approaches predominantly focus on one aspect between control flow and

    更新日期:2020-04-21
  • Formalising and animating multiple instances in BPMN collaborations
    Inform. Syst. (IF 2.466) Pub Date : 2019-11-01
    Flavio Corradini; Chiara Muzi; Barbara Re; Lorenzo Rossi; Francesco Tiezzi

    The increasing adoption of modelling methods contributes to a better understanding of the flow of processes, from the internal behaviour of a single organisation to a wider perspective where several organisations exchange messages. In this regard, BPMN collaborations provide a suitable modelling abstraction. Even if this is a widely accepted notation, only a limited effort has been expended in formalising

    更新日期:2020-04-21
  • A DSL for WSN software components coordination
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-31
    Marcos Aurélio Carrero; Martin A. Musicante; Aldri Luiz dos Santos; Carmem S. Hara

    Wireless Sensor Networks (WSNs) have become an integral part of urban scenarios. They are usually composed of a large number of devices. Developing systems for such networks is a hard task and often involves validation on simulation environments before deployment on real settings. Component-based development allows systems to be built from reusable, existing components that share a common interface

    更新日期:2020-04-21
  • Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-26
    Vincent Bloemen; Sebastiaan van Zelst; Wil van der Aalst; Boudewijn van Dongen; Jaco van de Pol

    Given a process model and an event log, conformance checking aims to relate the two together, e.g. to detect discrepancies between them. For the synchronous product net of the process and a log trace, we can assign different costs to a synchronous move, and a move in the log or model. By computing a path through this (synchronous) product net, whilst minimizing the total cost, we create a so-called

    更新日期:2020-04-21
  • BINet: Multi-perspective business process anomaly classification
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-26
    Timo Nolle; Stefan Luettgen; Alexander Seeliger; Max Mühlhäuser

    In this paper, we introduce BINet, a neural network architecture for real-time multi-perspective anomaly detection in business process event logs. BINet is designed to handle both the control flow and the data perspective of a business process. Additionally, we propose a set of heuristics for setting the threshold of an anomaly detection algorithm automatically. We demonstrate that BINet can be used

    更新日期:2020-04-21
  • Detecting trend deviations with generic stream processing patterns
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-22
    Massiva Roudjane; Djamal Rebaïne; Raphaël Khoury; Sylvain Hallé

    Information systems produce different types of event logs; in many situations, it may be desirable to look for trends inside these logs. We show how trends of various kinds can be computed over such logs in real time, using a generic framework called the trend distance workflow. Many common computations on event streams turn out to be special cases of this workflow, depending on how a handful of workflow

    更新日期:2020-04-21
  • Service contract modeling in Enterprise Architecture: An ontology-based approach
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-18
    Cristine Griffo; João Paulo A. Almeida; Giancarlo Guizzardi; Julio Cesar Nardi

    Service contracts bind parties legally, regulating their behavior in the scope of a (business) service relationship. Given that there are legal consequences attached to service contracts, understanding the elements of a contract is key to managing services in an enterprise. After all, provisions in a service contract and in legislation establish obligations and rights for service providers and customers

    更新日期:2020-04-21
  • Enabling runtime flexibility in data-centric and data-driven process execution engines
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-17
    Kevin Andrews; Sebastian Steinau; Manfred Reichert

    Contemporary process management systems support users during the execution of predefined business processes. However, when unforeseen situations occur, which are not part of the process model serving as the template for process execution, contemporary technology is often unable to offer adequate user support. One solution to this problem is to allow for ad-hoc changes to process models, i.e., changes

    更新日期:2020-04-21
  • Characterizing client usage patterns and service demand for car-sharing systems
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-11
    Victor A. Alencar; Felipe Rooke; Michele Cocca; Luca Vassio; Jussara Almeida; Alex Borges Vieira

    The understanding of the mobility on urban spaces is useful for the creation of smarter and sustainable cities. However, getting data about urban mobility is challenging, since only a few companies have access to accurate and updated data, that is also privacy-sensitive. In this work, we characterize three distinct car-sharing systems which operate in Vancouver (Canada) and nearby regions, gathering

    更新日期:2020-04-21
  • How meaningful are similarities in deep trajectory representations?
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-11
    Saeed Taghizadeh; Abel Elekes; Martin Schäler; Klemens Böhm

    Finding similar trajectories is an important task in moving object databases. However, classical similarity models face several limitations, including scalability and robustness. Recently, an approach named t2vec proposed transforming trajectories into points in a high dimensional vector space, and this transformation approximately keeps distances between trajectories. t2vec overcomes that scalability

    更新日期:2020-04-21
  • Speed prediction in large and dynamic traffic sensor networks
    Inform. Syst. (IF 2.466) Pub Date : 2019-10-11
    Regis Pires Magalhaes; Francesco Lettich; Jose Antonio Macedo; Franco Maria Nardini; Raffaele Perego; Chiara Renso; Roberto Trani

    Smart cities are nowadays equipped with pervasive networks of sensors that monitor traffic in real-time and record huge volumes of traffic data. These datasets constitute a rich source of information that can be used to extract knowledge useful for municipalities and citizens. In this paper we are interested in exploiting such data to estimate future speed in traffic sensor networks, as accurate predictions

    更新日期:2020-04-21
  • A deep view-point language and framework for projective modeling
    Inform. Syst. (IF 2.466) Pub Date : 2019-09-18
    Colin Atkinson; Christian Tunjic

    Most view-based modeling approaches are today based on a “synthetic” approach in which the views hold all the information modeled about a system and are kept consistent using explicit, inter-view correspondence rules. The alternative “projective” approach, in which the contents of views are “projected” from a single underlying model on demand, is far less widely used due to the lack of suitable conceptual

    更新日期:2020-04-21
  • Formal foundations for responsible application integration
    Inform. Syst. (IF 2.466) Pub Date : 2019-09-18
    Daniel Ritter; Stefanie Rinderle-Ma; Marco Montali; Andrey Rivkin

    Enterprise Application Integration (EAI) constitutes the cornerstone in enterprise IT landscapes that are characterized by heterogeneity and distribution. Starting from established Enterprise Integration Patterns (EIPs) such as Content-based Router and Aggregator, EIP compositions are built to describe, implement, and execute integration scenarios. The EIPs and their compositions must be correct at

    更新日期:2020-04-21
  • Efficient processing of reverse nearest neighborhood queries in spatial databases
    Inform. Syst. (IF 2.466) Pub Date : 2020-04-13
    Md. Saiful Islam, Bojie Shen, Can Wang, David Taniar, Junhu Wang

    This paper presents a novel query for spatial databases, called reverse nearest neighborhood (RNH) query, to discover the neighborhoods that find a query facility as their nearest facility among other facilities in the dataset. Unlike a reverse nearest neighbor (RNN) query, an RNH query emphasizes on group of users instead of an individual user. More specifically, given a set of user locations U, a

    更新日期:2020-04-13
  • A fully spatial personalized differentially private mechanism to provide non-uniform privacy guarantees for spatial databases
    Inform. Syst. (IF 2.466) Pub Date : 2020-04-08
    Nadia Niknami, Mahdi Abadi, Fatemeh Deldar

    Spatial databases are essential to applications in a wide variety of domains. One of the main privacy concerns when answering statistical queries, such as range counting queries, over a spatial database is that an adversary observing changes in query answers may be able to determine whether or not a particular geometric object is present in the database. Differential privacy addresses this concern

    更新日期:2020-04-08
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