【信息检索类】期刊专刊截稿信息4条

数据库管理与信息检索

Journal of the Association for Information Science and Technology

Special Issue on “The Social Informatics of Knowledge”

全文截稿: 2018-01-15

影响因子: 2.322

CCF分类: B类

网址: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643

In this special issue of the Journal of the Association for Information Science and Technology, we are calling
for papers that advance the concepts, methods and theories that support the social informatics perspective. Social informatics as the study of the connections among people and the technologies they use is a lens to understand a wide variety of topics linked by a recognition of the “integration of information and communication technologies into organizations…[which has] now spread from organizations…[into] people’s social lives” (Fichman & Rosenbaum, 2014, p. x). We are particularly keen to see papers that look at questions about how knowledge – broadly conceived – can be better understood when we look at the social contexts in which knowledge is created, generated, organized, shared, and used.

Kling (2000) pointed out that in socio-technical models of ICT in society, “…knowledge and expertise are inherently tacit/implicit…” (p. 220) as opposed to explicit: all too often, the processes of knowledge generation and discovery are hidden behind (or within a black box of) technology. There is obviously considerable research on knowledge in a variety of outlets (see Hislop, 2013 for a comprehensive review). This said, many of these focus on specific practices of knowledge management and are often constrained to the realms of formal organizations (Grant, 2011) instead of the broader socio-technical questions of how knowledge practices are embedded within and enabled by technical systems. By way of comparison, Hara and Fichman (2014) argue that we can use social informatics and the concept of boundaries to better understand knowledge sharing in the social media space, while Auernhammer and Hall (2014) focus on how leadership and social conditions within organizations are reflected in knowledge creation processes.

For this special issue, we seek submissions that extend our understanding of how we can better explain knowledge practices by looking at the connections between people and technologies, which we have elsewhere called ‘examining the hyphen’ in the socio-technical sphere (Meyer, 2014) that represents the connections of the social to the technical. Interested authors are also encouraged to look at Kling’s foundational paper on the nature of the entanglement between the social and the technical in which he wrote that social informatics is “the interdisciplinary study of the design, uses and consequences of information technologies that takes into account their interaction with institutional and cultural contexts” (Kling, 2007, p. 205)

Examples can be drawn from any domain or across multiple domains, but we will be particularly interested in papers which foreground this relationship between people and technology in their analysis.

The topics of this special issue include, but are not limited to, social informatics empirical research and/or
theory development in the areas of:

1.Knowledge:
o Creation
o Dissemination
o Screening / filtering
o Validation / authentication
o Consumption
o Impact

2.Knowledge generation and sharing platforms
o Online knowledge spaces
o Changing knowledge standards in news and politics

3.Novel approaches to knowledge generation, including:
o Big data approaches
o Machine learning
o Computational models
o Topic discovery
o Scientific workflows

4.Knowledge discovery techniques, including:
o Corpora-based information extraction
o Data mining
o Data visualization and other exploratory efforts
o Trace data collection
o Multiple methods

5.Collaborative scientific practices, including:
o The roles of teams in knowledge generation
o Team-based memory and knowledge sharing
o Distributed scientific collaboration
o Knowledge and innovation

数据库管理与信息检索

Information Fusion

Special Issue on Information Fusion for Emotion-aware Intelligent Systems

全文截稿: 2018-02-15

影响因子: 5.667

中科院JCR分区:

  • 大类 : 工程技术 - 2区

  • 小类 : 计算机：人工智能 - 2区

  • 小类 : 计算机：理论方法 - 1区

网址: http://www.journals.elsevier.com/information-fusion/

In the past decade, computer and information industry has experienced rapid changes in both plat-form scale and scope of applications. Computers, smart phones, clouds, social networks, and super-computers demand not only high performance but also high degree of machine intelligence. In fact, we are entering an era of big data and cognitive computing. This trendy movement is observed by the pervasive use of mobile phones, storage and computing clouds, revival of artificial intelligence in practice, extended supercomputer applications, and wide spread deployment of Internet of Things (IoT) platforms. While the rapidly developed technology benefits people’s material life in many aspects, people begin to concern about human spiritual life and focus on how can information fusion technologies facilitate emotion-aware healthcare data acquisition, representation, and analy-sis. It is envisioned that IoT, clouds, big data and cognitive learning will be the success factors for realizing emotion-aware intelligent systems, leading effective emotion care and smart mental healthcare solutions. In this relatively new area, emotional information from multiple sources are combined to improve system’s intelligence or obtain useful information. For example, combining audio and video data to make machine smarter, or to obtain joint feature representation.

This special issue focuses on sharing recent advances in algorithms and applications about emotion-aware intelligent systems. Topics appropriate for this special issue include novel supervised, unsu-pervised, semi-supervised and reinforcement algorithms, new architectures, and applications related to emotion-aware intelligent systems and information fusion.

Topics appropriate for this special issue include (but are not necessarily limited to):

- New models for emotion-aware intelligent systems

- Deep learning models for emotional data processing

- Feature fusion for emotion-aware intelligent systems

- Shared emotional representation learning

- Improved algorithms for emotion-aware intelligent systems

- Combining multiple models for emotion-aware intelligent systems

- Analysis on big emotional data

- Emotion-aware intelligent systems for information fusion

- Hierarchical emotion-aware intelligent systems for information fusion

- Emotion-control healthcare applications such as mental healthcare systems, emotion-control by robotics technology and emotion interaction through IoT and clouds

- Emotion-aware intelligent applications in computer vision related areas such as emotion recognition and so on

- Emotion-aware intelligent applications in audio areas such as recognize emotion from one’s voice, generate emotional voice and so on

数据库管理与信息检索

Journal of the Association for Information Science and Technology

Special Issue on Conversational Approaches to Information Retrieval

全文截稿: 2018-02-23

影响因子: 2.322

CCF分类: B类

网址: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2330-1643

Conversational search interfaces are increasingly common and include intelligent mobile assistants such as Cortana, Google Now, and Siri; intelligent home assistants such as Amazon Alexa and Google Home; and a myriad of different software agents (or Chatbots) that users can interact with inside messaging platforms such as Slack, Yammer, and Facebook Workplace. Conversational search systems are different from traditional search systems in several ways. First, at their core, conversational search systems aim to support multi-turn, user-machine dialogues for information access and retrieval. Second, some systems aim to engage users in more naturalistic interactions, for example, by supporting spoken, natural language information requests. Finally, some systems aim to support multi-modal interaction, for example by allowing either textual or verbal input and by balancing between screen and verbal output.

Prior and current research in the fields of information retrieval, information science, and humancomputer interaction is certainly relevant to the design, development, and evaluation of conversational search systems. From the system side, for example, prior research has focused on improving voice query recognition and on automatically reducing verbose queries in order to improve retrieval performance. From the human side, prior research has focused on understanding voice query reformulations in response to a system error, understanding why and how users switch modalities (e.g., textual versus spoken input), and developing methods for intelligent assistant evaluation.

While different aspects of conversational search systems have been investigated in prior work, many open questions remain. How can systems use dialogue to support information access and retrieval? How can existing technologies such as query suggestion, results clustering, and relevant facet prediction be used in conversational approaches to IR? What do users want from a conversational search interface? How can a system infer user satisfaction from conversational interactions?

In this Special Issue, we invite submissions on all aspects of conversational approaches to information access and retrieval. We invite submissions addressing all modalities of conversation, including speechbased, text-based, and multimodal interaction. We also welcome studies of human-human interaction (e.g., collaborative search) that can inform the design of conversational search applications. Finally, we welcome research on methods for evaluation of conversational IR systems.

Topics of Interests

Query understanding and search process management
● Processing verbose natural language queries
● Processing noisy ASR queries
● Query intent disambiguation, clarification, confirmation
● Query suggestion
● Relevance feedback in conversational search
● Voice-based search engine operations
● Dialogue schema for conversational search


Search result description (presentation)
● Audio-based search result presentation and summarization
● Conversational navigation of search results
● Knowledge graph presentation in conversational
● Search Advertisements in audio-based search result presentation

Ranking algorithms
● Ad-hoc spoken search
● Spoken search in session
● Search result diversification

Evaluation
● Building test collections for conversational search
● Development of new metrics to measure effectiveness, engagement, satisfaction of conversational search

Applications
● Intelligent personal assistance
● Intelligent home assistance using voice /speech oriented devices
● Proactive search/Recommendation
● Collaborative search
● Hands free search (e.g., in car, kitchen)
● Search for visually impaired users
● Search for low literacy users
● Integration with existing technologies

数据库管理与信息检索

International Journal of Geographical Information Science

Special Issue: Spatial Computing for the Digital Humanities

摘要截稿: 2017-12-01

全文截稿: 2018-04-30

影响因子: 2.502

CCF分类: C类

中科院JCR分区:

  • 大类 : 地学 - 3区

  • 小类 : 计算机：信息系统 - 3区

  • 小类 : 自然地理 - 4区

网址: http://www.tandfonline.com/toc/tgis20/current#.V5YTsUuF6Uk

We cordially invite you to submit your research to the newest Special Issue of the International Journal of Geographical Information Science. Focusing on the unique field of Geospatial Humanities, this special issue will draw together in its collection the state-of-the-art in the field, and will consitute a landmark publication in spatial humanities research. The special issue will use an open call, and it will draw from the submissions to the ACM SIGSPATIAL Workshop on Geospatial Humanities that will take place in Redondo Beach, California, USA in November 2017. Members of the Programme Committee for the workshop will act as technical reviewers for the submissions to the special issue, and authors of the best papers at the workshop will be invited to submit significantly expanded versions of their ACM workshop papers. Note that the invitation to authors of submissions to the ACM SIGSPATIAL workshop does not guarantee publication in this collection and all submissions will be subject to the standard IJGIS double-blind peer review process.

The special issue will look to explore and demonstrate the contributions that modern spatial analysis and other technologies can enable for the study of space and place within and beyond the digital humanities, placing a strong emphasis on new novel concepts or methods in spatial computing for humanities research. Example topics include, but are not limited to:

- Spatial and spatio-temporal analysis with GIS for humanities research
- Geographical text analysis
- Spatial ontologies for humanities research
- Agent based modelling and spatial-simulation for humanities research
- Development of historical and literary gazetteers
- Geographic information retrieval approaches for humanities datasets
- Visualization and cartographic representations for humanities datasets
- Linguistic approaches for GeoHumanities
- Spatio-temporal network analysis for humanities

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