Conference Information

WISA 2026: International Conference on Web Information Systems Engineering

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Submission Date:
2026-06-30 Closed
Notification Date:
2026-07-30
Conference Date:
2026-11-02
Location:
Venice, Italy
Years:
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CCF: C   Viewed: 19203   Tracked: 3   Attend: 1
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WISA
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Conference Partner Index (CP-I)

63.0 / 100
Ranked #507 of 5,696 conferences · Top 9%

#21 of 253 in Information Systems & Web

Academic recognition (35%)
66
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
90
Community attention (10%)
37
Public record completeness (15%)
55

Inputs used: Listed as CCF C · Editions on record: 27 · Researchers following it here: 3 · Researchers who opened this page in the past 24 months: 21

Missing from the public record: Historical acceptance rates (+4.5) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-13

Call For Papers

WISA 2026 (International Conference on Web Information Systems Engineering) is a CCF C conference held in Venice, Italy on 2026-11-02. The paper submission deadline is 2026-06-30 (extended). Acceptance notifications are sent on 2026-07-30.

The WISE 2026 Research Track solicits high quality, original papers focusing on important research problems and issues around the Web as a universal platform connecting people, machines and systems. We are particularly interested in submissions focusing on research areas that aim to maximize the positive impact of the Web (and its underlying information systems) on the society and touch the lives of people in important ways. Topics of Interest (but not limited to) AI and Web Analytics Clickstream Analytics Crowdsourcing Data Science and AI technology Deep/Hidden Web E-learning Graph data management, RDF, social networks Human Factors and Social Issues Knowledge extraction and management Linked Open Data LLM Web-based applications Machine/Deep Learning for the Web Rich Web UI and HCI Semantic Web and Ontology Social Web Models and Analysis Web advertising and community analysis Web computing Web Mining Web Agents and Web Intelligence Web Mobile Applications Web Big Data Techniques and Mining Web Data Models Web information quality and fusion Web Information Retrieval and Text Analytics Web Information Systems Web Metrics and Performance Web Warehousing Web Security and Trust Management Web service management Web Tools and Visualization Web-based Applications (e.g., Auction and Negotiation, e-Commerce, e-Government, e-Learning, etc.) Web-based Business Processes and Web Services Web-scale Distributed and Cloud Computing XML and semi – structured data
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