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).