LTML - A Language for Representation Semantic Web Service Workflow Procedures

LTML— A Language for Representing Semantic Web Service Workflow Procedures

Burstein, M., Goldman, R., McDermott, D., McDonald, D., Beal, J., Maraist, J.
In Workshop on Semantics for the Rest of Us: Variants of Semantic Web Languages, held in conjunction with 8th International Semantic Web Conference (ISWC 2009) 26 October 2009, Washington, DC.

Keywords: insider threat detection, network security, plan recognition

Abstract: The Learnable Task Modeling Language (LTML) was developed by
combining features of OWL, OWL-S, and PDDL, using a more compact and
readable syntax than OWL/RDF to create human readable representations of web
service procedures and hierarchical task models. Our goal was in part to develop
a more robust and developer-friendly language based on the principles and design
that led to OWL-S and demonstrate that such a language also provided the basis
for developing tools that could learn web service procedures by demonstration.
LTML’s initial and driving use is as an interlingua for the learning and procedure
execution components of POIROT, a system that learns web service workflow
procedures from ‘observations’ of one or a small number of semantic web service
traces. The LTML language uses an s-expression based syntax for improved readability
but has parsers and generators that translate the surface forms into RDF for
storage in a SESAME triple store implementing POIROT’s internal blackboard.
All language elements are grounded in a set of OWL ontologies. The language
encompasses and extends coverage of the OWL-S process and grounding models,
and introduces elements to support sets of hierarchical task methods indexed by
goals, semantic execution traces, and internal tasks and learning goals. This short
paper gives an overview of LTML and describes the areas where LTML diverges
from or extends OWL-S and PDDL.