CFP: Journal on Semantic Web and Information Systems - Special Edition on Web Scale Knowledge Extraction

IJSWIS Special Issue on Web-Scale Knowledge Extraction
Guest Editors: Aditya Kalyanpur, James Fan, Chris Welty

Recently, there has been a significant amount of interest in automatically
creating large-scale knowledge bases from unstructured text. Compared to
traditional, manually created representations, these knowledge bases have
the advantage of scale and coverage. They often contain tens of millions of
propositions, represented using a variety of encodings, from simple binary
assertions to more complicated frame-like structures, and are extracted by
parsing and analyzing large Web corpora.

This special issue seeks theories, algorithms and applications of
automatically extracted Web-scale knowledge. Example topics include:
• Extraction Challenges: Extracting knowledge from large corpora and/or
multiple sources that have varying granularity, noise and authenticity.
Identifying and disambiguating entities in text. Evaluating and comparing
different extraction results.
• Representation and Storage Issues: Capturing assertions, rules and
frames. Distinguishing beliefs, opinions from facts. Storing and indexing
information efficiently
• Relationship with Formal KR&R and Semantic Web: Linking textually
mined knowledge to Semantic Web data. Combining fuzzy textual inference
with formal logic-based reasoning
• Applications of Textually Mined Knowledge: Question Answering,
Semantic Search, Text Entailment

UPDATED Submission Site:
http://www.easychair.org/conferences/?conf=wekex2012


EXTENDED Deadline: April 15, 2012

About the Journal: IJSWIS is included in most major indices including CSI,
with Thomson Scientific impact factor 2.345. We seek high quality
manuscripts suitable for an archival journal based on original research. If
the manuscript is based on a prior workshop or conference submission,
submissions should reflect significant novel contribution/extension in
conceptual terms and/or scale of implementation and evaluation (authors are
highly encouraged to clarify new contributions in a cover letter or within
the submission).